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<strong>Better than REST APIs! Build a fast and scalable HTTP/2 API for your microservice with gRPC and protocol buffers (protobufs).</strong>
        <p>RPC is a new and modern framework for building scalable, modern, and fast APIs. It is leveraged by many top tech companies such as Google, Square, and Netflix and enables programmers to write microservices in any language they want while keeping the ability to easily communicate between these services. It relies on protocol buffers as the transport mechanism and the Service Definition Language.
gRPC [Java] Master Class: Build Modern APIs and Microservices is the best way to get a great overview of all the possibilities offered by gRPC with your favourite language

&bull; Learn the gRPC theory to understand how gRPC works
&bull; Compare gRPC and the REST API paradigm
&bull; Write your gRPC service definitions in .proto files
&bull; Generate server and client code in Java using the Gradle gRPC plugin
&bull; Implement unary, server streaming, client streaming, and the bi-directional streaming API
&bull; Learn via exercises and solutions
&bull; Implement advanced concepts such as error handling, deadlines, and SSL security
&bull; Implement a full CRUD API on top of MongoDB
&bull; Get pointers to expand your learning journey and get inspired by real-world gRPC services

All the code files are placed at https://github.com/PacktPublishing/gRPC-Java-Master-Class-Build-Modern-API-and-Microservices

</p>
        <h2>What You Will Learn</h2><p>Generate server and client code in Java using the Gradle gRPC plugin<br>Implement unary, server streaming, client streaming, and the bi-directional streaming API<br>Practice your learning with exercises & solutions<br>Implement advanced concepts such as error handling, deadlines, and SSL security<br>Implement a full CRUD API on top of MongoDB<br>Get pointers to expand your learning journey and get inspired by real-world gRPC services.<br></p>
        <h2>Audience</h2><p>Developers who want to understand how to write gRPC services and clients in Java and architects who want to understand how gRPC works and the concepts behind the different types of API.</p>
        <h2>Approach</h2><p>This course will teach you gRPC in depth, via practical examples.</p>
        <h2>Key Features</h2><p>Learn the gRPC theory to understand how gRPC works * Compare gRPC and the REST API paradigm * Write your gRPC service definition in .proto files</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/grpc-java-master-class-build-modern-api-and-microservices</p>
        <h2>About the Author</h2><h3>Stéphane Maarek</h3><p>Stéphane Maarek is a solutions architect, consultant, and software developer who has a particular interest in all things related to big data and analytics. He is also a bestseller instructor on Udemy for his courses on Apache Kafka, Apache NiFi, and AWS Lambda. He loves Apache Kafka and regularly contributes to the Apache Kafka project.

Stéphane has also written a guest blog post that was featured on the Confluent website, the company behind Apache Kafka. He is also an AWS Certified Solutions Architect and has many years of experience with technologies such as Apache Kafka, Apache NiFi, Apache Spark, Hadoop, PostgreSQL, Tableau, Spotfire, Docker, Ansible, and more.</p>
        <h2>Course Outline</h2><h4>1. gRPC Course Overview</h4><p>Video 1.1: gRPC Introduction</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. gRPC Introduction</p><p style='margin: 0'>gRPC Course Overview: gRPC Introduction</p></td></tr><tr><td style='padding: 15px;'><p>2. Course Objective</p><p style='margin: 0'>gRPC Course Overview: Course Objective</p></td></tr></tbody></table><br><h4>2. [Theory] gRPC Internals Deep Dive</h4><p>Video 2.1: Protocol Buffers & Language Interoperability</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Protocol Buffers & Language Interoperability</p><p style='margin: 0'>[Theory] gRPC Internals Deep Dive: Protocol Buffers & Language Interoperability</p></td></tr><tr><td style='padding: 15px;'><p>2. HTTP/2</p><p style='margin: 0'>[Theory] gRPC Internals Deep Dive: HTTP/2</p></td></tr><tr><td style='padding: 15px;'><p>3. 4 Types of gRPC APIs</p><p style='margin: 0'>[Theory] gRPC Internals Deep Dive: 4 Types of gRPC APIs</p></td></tr><tr><td style='padding: 15px;'><p>4. Scalability in gRPC</p><p style='margin: 0'>[Theory] gRPC Internals Deep Dive: Scalability in gRPC</p></td></tr><tr><td style='padding: 15px;'><p>5. Security in gRPC (SSL)</p><p style='margin: 0'>[Theory] gRPC Internals Deep Dive: Security in gRPC (SSL)</p></td></tr><tr><td style='padding: 15px;'><p>6. gRPC vs REST</p><p style='margin: 0'>[Theory] gRPC Internals Deep Dive: gRPC vs REST</p></td></tr><tr><td style='padding: 15px;'><p>7. Section Summary - why use gRPC</p><p style='margin: 0'>[Theory] gRPC Internals Deep Dive: Section Summary - why use gRPC</p></td></tr></tbody></table><br><h4>3. [Hands-On] gRPC Project Overview & Setup</h4><p>Video 3.1: Java Gradle Project Setup</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Java Gradle Project Setup</p><p style='margin: 0'>[Hands-On] gRPC Project Overview & Setup: Java Gradle Project Setup</p></td></tr><tr><td style='padding: 15px;'><p>2. Dummy Service Code Generation</p><p style='margin: 0'>[Hands-On] gRPC Project Overview & Setup: Dummy Service Code Generation</p></td></tr><tr><td style='padding: 15px;'><p>3. Server Setup Boilerplate Code</p><p style='margin: 0'>[Hands-On] gRPC Project Overview & Setup: Server Setup Boilerplate Code</p></td></tr><tr><td style='padding: 15px;'><p>4. Client Setup Boilerplate Code</p><p style='margin: 0'>[Hands-On] gRPC Project Overview & Setup: Client Setup Boilerplate Code</p></td></tr></tbody></table><br><h4>4. [Hands-On] gRPC Unary</h4><p>Video 4.1: What's a Unary API?</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What's a Unary API?</p><p style='margin: 0'>[Hands-On] gRPC Unary: What's a Unary API?</p></td></tr><tr><td style='padding: 15px;'><p>2. Greet API Definition</p><p style='margin: 0'>[Hands-On] gRPC Unary: Greet API Definition</p></td></tr><tr><td style='padding: 15px;'><p>3. Unary API Server Implementation</p><p style='margin: 0'>[Hands-On] gRPC Unary: Unary API Server Implementation</p></td></tr><tr><td style='padding: 15px;'><p>4. Unary API Client Implementation</p><p style='margin: 0'>[Hands-On] gRPC Unary: Unary API Client Implementation</p></td></tr><tr><td style='padding: 15px;'><p>5. [Solution] Sum API</p><p style='margin: 0'>[Hands-On] gRPC Unary: [Solution] Sum API</p></td></tr></tbody></table><br><h4>5. [Hands-On] gRPC Server Streaming</h4><p>Video 5.1: What's a Server Streaming API?</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What's a Server Streaming API?</p><p style='margin: 0'>[Hands-On] gRPC Server Streaming: What's a Server Streaming API?</p></td></tr><tr><td style='padding: 15px;'><p>2. GreetManyTimes API Definition</p><p style='margin: 0'>[Hands-On] gRPC Server Streaming: GreetManyTimes API Definition</p></td></tr><tr><td style='padding: 15px;'><p>3. Server Streaming API Server Implementation</p><p style='margin: 0'>[Hands-On] gRPC Server Streaming: Server Streaming API Server Implementation</p></td></tr><tr><td style='padding: 15px;'><p>4. Server Streaming API Client Implementation</p><p style='margin: 0'>[Hands-On] gRPC Server Streaming: Server Streaming API Client Implementation</p></td></tr><tr><td style='padding: 15px;'><p>5. [Solution] PrimeNumberDecomposition API</p><p style='margin: 0'>[Hands-On] gRPC Server Streaming: [Solution] PrimeNumberDecomposition API</p></td></tr></tbody></table><br><h4>6. [Hands-On] gRPC Client Streaming</h4><p>Video 6.1: What's a Client Streaming API?</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What's a Client Streaming API?</p><p style='margin: 0'>[Hands-On] gRPC Client Streaming: What's a Client Streaming API?</p></td></tr><tr><td style='padding: 15px;'><p>2. LongGreet API Definition</p><p style='margin: 0'>[Hands-On] gRPC Client Streaming: LongGreet API Definition</p></td></tr><tr><td style='padding: 15px;'><p>3. Client Streaming API Server Implementation</p><p style='margin: 0'>[Hands-On] gRPC Client Streaming: Client Streaming API Server Implementation</p></td></tr><tr><td style='padding: 15px;'><p>4. Client Streaming API Client Implementation - Part 1 - Refactoring</p><p style='margin: 0'>[Hands-On] gRPC Client Streaming: Client Streaming API Client Implementation - Part 1 - Refactoring</p></td></tr><tr><td style='padding: 15px;'><p>5. Client Streaming API Client Implementation - Part 2 - Refactoring</p><p style='margin: 0'>[Hands-On] gRPC Client Streaming: Client Streaming API Client Implementation - Part 2 - Refactoring</p></td></tr><tr><td style='padding: 15px;'><p>6. [Solution] ComputeAverage API</p><p style='margin: 0'>[Hands-On] gRPC Client Streaming: [Solution] ComputeAverage API</p></td></tr></tbody></table><br><h4>7. [Hands-On] gRPC Bi-Directional Streaming</h4><p>Video 7.1: What's a Bi-Directional Streaming API?</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What's a Bi-Directional Streaming API?</p><p style='margin: 0'>[Hands-On] gRPC Bi-Directional Streaming: What's a Bi-Directional Streaming API?</p></td></tr><tr><td style='padding: 15px;'><p>2. GreetEveryone API Definition</p><p style='margin: 0'>[Hands-On] gRPC Bi-Directional Streaming: GreetEveryone API Definition</p></td></tr><tr><td style='padding: 15px;'><p>3. Bi-Directional Streaming API Server Implementation</p><p style='margin: 0'>[Hands-On] gRPC Bi-Directional Streaming: Bi-Directional Streaming API Server Implementation</p></td></tr><tr><td style='padding: 15px;'><p>4. Bi-Directional Streaming API Client Implementation</p><p style='margin: 0'>[Hands-On] gRPC Bi-Directional Streaming: Bi-Directional Streaming API Client Implementation</p></td></tr><tr><td style='padding: 15px;'><p>5. [Solution] FindMaximum API</p><p style='margin: 0'>[Hands-On] gRPC Bi-Directional Streaming: [Solution] FindMaximum API</p></td></tr></tbody></table><br><h4>8. [Hands-On] gRPC Advanced Features Deep Dive</h4><p>Video 8.1: [Theory] Errors in gRPC</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. [Theory] Errors in gRPC</p><p style='margin: 0'>[Hands-On] gRPC Advanced Features Deep Dive: [Theory] Errors in gRPC</p></td></tr><tr><td style='padding: 15px;'><p>2. [Hands-On] Errors implementation</p><p style='margin: 0'>[Hands-On] gRPC Advanced Features Deep Dive: [Hands-On] Errors implementation</p></td></tr><tr><td style='padding: 15px;'><p>3. [Theory] Deadlines</p><p style='margin: 0'>[Hands-On] gRPC Advanced Features Deep Dive: [Theory] Deadlines</p></td></tr><tr><td style='padding: 15px;'><p>4. [Hands-On] Deadlines</p><p style='margin: 0'>[Hands-On] gRPC Advanced Features Deep Dive: [Hands-On] Deadlines</p></td></tr><tr><td style='padding: 15px;'><p>5. [Theory] SSL Security</p><p style='margin: 0'>[Hands-On] gRPC Advanced Features Deep Dive: [Theory] SSL Security</p></td></tr><tr><td style='padding: 15px;'><p>6. [Hands-On] SSL Security</p><p style='margin: 0'>[Hands-On] gRPC Advanced Features Deep Dive: [Hands-On] SSL Security</p></td></tr><tr><td style='padding: 15px;'><p>7. [Demo] Language Interoperability</p><p style='margin: 0'>[Hands-On] gRPC Advanced Features Deep Dive: [Demo] Language Interoperability</p></td></tr><tr><td style='padding: 15px;'><p>8. gRPC Reflection & Evans CLI</p><p style='margin: 0'>[Hands-On] gRPC Advanced Features Deep Dive: gRPC Reflection & Evans CLI</p></td></tr></tbody></table><br><h4>9. [Hands-On] CRUD API with MongoDB</h4><p>Video 9.1: Install MongoDB</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Install MongoDB</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: Install MongoDB</p></td></tr><tr><td style='padding: 15px;'><p>2. Install MongoDB UI - Robo 3T</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: Install MongoDB UI - Robo 3T</p></td></tr><tr><td style='padding: 15px;'><p>3. Blog Service Java Setup</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: Blog Service Java Setup</p></td></tr><tr><td style='padding: 15px;'><p>4. CreateBlog Server</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: CreateBlog Server</p></td></tr><tr><td style='padding: 15px;'><p>5. CreateBlog Client</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: CreateBlog Client</p></td></tr><tr><td style='padding: 15px;'><p>6. ReadBlog Server</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: ReadBlog Server</p></td></tr><tr><td style='padding: 15px;'><p>7. ReadBlog Client</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: ReadBlog Client</p></td></tr><tr><td style='padding: 15px;'><p>8. UpdateBlog Server</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: UpdateBlog Server</p></td></tr><tr><td style='padding: 15px;'><p>9. UpdateBlog Client</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: UpdateBlog Client</p></td></tr><tr><td style='padding: 15px;'><p>10. DeleteBlog Server</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: DeleteBlog Server</p></td></tr><tr><td style='padding: 15px;'><p>11. DeleteBlog Client</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: DeleteBlog Client</p></td></tr><tr><td style='padding: 15px;'><p>12. ListBlog Server</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: ListBlog Server</p></td></tr><tr><td style='padding: 15px;'><p>13. ListBlog Client</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: ListBlog Client</p></td></tr><tr><td style='padding: 15px;'><p>14. Evans CLI test with CRUD</p><p style='margin: 0'>[Hands-On] CRUD API with MongoDB: Evans CLI test with CRUD</p></td></tr></tbody></table><br><h4>10. Next Steps</h4><p>Video 10.1: gRPC Services in the Real Word</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. gRPC Services in the Real Word</p><p style='margin: 0'>Next Steps: gRPC Services in the Real Word</p></td></tr><tr><td style='padding: 15px;'><p>2. Congrats & Next Steps</p><p style='margin: 0'>Next Steps: Congrats & Next Steps</p></td></tr></tbody></table>

Better than REST APIs! Build a fast and scalable HTTP/2 API for your microservice with gRPC and protocol buffers (protobufs).
RPC is a new and modern framework for building scalable, modern, and fast APIs. It is leveraged by many top tech companies such as Google, Square, and Netflix and enables programmers to write microservices in any language they want while keeping the ability to easily communicate between these services. It relies on protocol buffers as the transport mechanism and the Service Definition Language.
gRPC [Java] Master Class: Build Modern APIs and Microservices is the best way to get a great overview of all the possibilities offered by gRPC with your favourite language • Learn the gRPC theory to understand how gRPC works
• Compare gRPC and the REST API paradigm
• Write your gRPC service definitions in .proto files
• Generate server and client code in Java using the Gradle gRPC plugin
• Implement unary, server streaming, client streaming, and the bi-directional streaming API
• Learn via exercises and solutions
• Implement advanced concepts such as error handling, deadlines, and SSL security
• Implement a full CRUD API on top of MongoDB
• Get pointers to expand your learning journey and get inspired by real-world gRPC services All the code files are placed at https://github.com/PacktPublishing/gRPC-Java-Master-Class-Build-Modern-API-and-Microservices 
What You Will Learn
Generate server and client code in Java using the Gradle gRPC plugin
Implement unary, server streaming, client streaming, and the bi-directional streaming API
Practice your learning with exercises & solutions
Implement advanced concepts such as error handling, deadlines, and SSL security
Implement a full CRUD API on top of MongoDB
Get pointers to expand your learning journey and get inspired by real-world gRPC services.

Audience
Developers who want to understand how to write gRPC services and clients in Java and architects who want to understand how gRPC works and the concepts behind the different types of API.
Approach
This course will teach you gRPC in depth, via practical examples.
Key Features
Learn the gRPC theory to understand how gRPC works * Compare gRPC and the REST API paradigm * Write your gRPC service definition in .proto files
Github Repo
https://github.com/packtpublishing/grpc-java-master-class-build-modern-api-and-microservices
About the Author
Stéphane Maarek
Stéphane Maarek is a solutions architect, consultant, and software developer who has a particular interest in all things related to big data and analytics. He is also a bestseller instructor on Udemy for his courses on Apache Kafka, Apache NiFi, and AWS Lambda. He loves Apache Kafka and regularly contributes to the Apache Kafka project. Stéphane has also written a guest blog post that was featured on the Confluent website, the company behind Apache Kafka. He is also an AWS Certified Solutions Architect and has many years of experience with technologies such as Apache Kafka, Apache NiFi, Apache Spark, Hadoop, PostgreSQL, Tableau, Spotfire, Docker, Ansible, and more.
Course Outline
1. gRPC Course Overview
Video 1.1: gRPC Introduction
1. gRPC Introduction
gRPC Course Overview: gRPC Introduction
2. Course Objective
gRPC Course Overview: Course Objective
2. [Theory] gRPC Internals Deep Dive
Video 2.1: Protocol Buffers & Language Interoperability
1. Protocol Buffers & Language Interoperability
[Theory] gRPC Internals Deep Dive: Protocol Buffers & Language Interoperability
2. HTTP/2
[Theory] gRPC Internals Deep Dive: HTTP/2
3. 4 Types of gRPC APIs
[Theory] gRPC Internals Deep Dive: 4 Types of gRPC APIs
4. Scalability in gRPC
[Theory] gRPC Internals Deep Dive: Scalability in gRPC
5. Security in gRPC (SSL)
[Theory] gRPC Internals Deep Dive: Security in gRPC (SSL)
6. gRPC vs REST
[Theory] gRPC Internals Deep Dive: gRPC vs REST
7. Section Summary - why use gRPC
[Theory] gRPC Internals Deep Dive: Section Summary - why use gRPC
3. [Hands-On] gRPC Project Overview & Setup
Video 3.1: Java Gradle Project Setup
1. Java Gradle Project Setup
[Hands-On] gRPC Project Overview & Setup: Java Gradle Project Setup
2. Dummy Service Code Generation
[Hands-On] gRPC Project Overview & Setup: Dummy Service Code Generation
3. Server Setup Boilerplate Code
[Hands-On] gRPC Project Overview & Setup: Server Setup Boilerplate Code
4. Client Setup Boilerplate Code
[Hands-On] gRPC Project Overview & Setup: Client Setup Boilerplate Code
4. [Hands-On] gRPC Unary
Video 4.1: What's a Unary API?
1. What's a Unary API?
[Hands-On] gRPC Unary: What's a Unary API?
2. Greet API Definition
[Hands-On] gRPC Unary: Greet API Definition
3. Unary API Server Implementation
[Hands-On] gRPC Unary: Unary API Server Implementation
4. Unary API Client Implementation
[Hands-On] gRPC Unary: Unary API Client Implementation
5. [Solution] Sum API
[Hands-On] gRPC Unary: [Solution] Sum API
5. [Hands-On] gRPC Server Streaming
Video 5.1: What's a Server Streaming API?
1. What's a Server Streaming API?
[Hands-On] gRPC Server Streaming: What's a Server Streaming API?
2. GreetManyTimes API Definition
[Hands-On] gRPC Server Streaming: GreetManyTimes API Definition
3. Server Streaming API Server Implementation
[Hands-On] gRPC Server Streaming: Server Streaming API Server Implementation
4. Server Streaming API Client Implementation
[Hands-On] gRPC Server Streaming: Server Streaming API Client Implementation
5. [Solution] PrimeNumberDecomposition API
[Hands-On] gRPC Server Streaming: [Solution] PrimeNumberDecomposition API
6. [Hands-On] gRPC Client Streaming
Video 6.1: What's a Client Streaming API?
1. What's a Client Streaming API?
[Hands-On] gRPC Client Streaming: What's a Client Streaming API?
2. LongGreet API Definition
[Hands-On] gRPC Client Streaming: LongGreet API Definition
3. Client Streaming API Server Implementation
[Hands-On] gRPC Client Streaming: Client Streaming API Server Implementation
4. Client Streaming API Client Implementation - Part 1 - Refactoring
[Hands-On] gRPC Client Streaming: Client Streaming API Client Implementation - Part 1 - Refactoring
5. Client Streaming API Client Implementation - Part 2 - Refactoring
[Hands-On] gRPC Client Streaming: Client Streaming API Client Implementation - Part 2 - Refactoring
6. [Solution] ComputeAverage API
[Hands-On] gRPC Client Streaming: [Solution] ComputeAverage API
7. [Hands-On] gRPC Bi-Directional Streaming
Video 7.1: What's a Bi-Directional Streaming API?
1. What's a Bi-Directional Streaming API?
[Hands-On] gRPC Bi-Directional Streaming: What's a Bi-Directional Streaming API?
2. GreetEveryone API Definition
[Hands-On] gRPC Bi-Directional Streaming: GreetEveryone API Definition
3. Bi-Directional Streaming API Server Implementation
[Hands-On] gRPC Bi-Directional Streaming: Bi-Directional Streaming API Server Implementation
4. Bi-Directional Streaming API Client Implementation
[Hands-On] gRPC Bi-Directional Streaming: Bi-Directional Streaming API Client Implementation
5. [Solution] FindMaximum API
[Hands-On] gRPC Bi-Directional Streaming: [Solution] FindMaximum API
8. [Hands-On] gRPC Advanced Features Deep Dive
Video 8.1: [Theory] Errors in gRPC
1. [Theory] Errors in gRPC
[Hands-On] gRPC Advanced Features Deep Dive: [Theory] Errors in gRPC
2. [Hands-On] Errors implementation
[Hands-On] gRPC Advanced Features Deep Dive: [Hands-On] Errors implementation
3. [Theory] Deadlines
[Hands-On] gRPC Advanced Features Deep Dive: [Theory] Deadlines
4. [Hands-On] Deadlines
[Hands-On] gRPC Advanced Features Deep Dive: [Hands-On] Deadlines
5. [Theory] SSL Security
[Hands-On] gRPC Advanced Features Deep Dive: [Theory] SSL Security
6. [Hands-On] SSL Security
[Hands-On] gRPC Advanced Features Deep Dive: [Hands-On] SSL Security
7. [Demo] Language Interoperability
[Hands-On] gRPC Advanced Features Deep Dive: [Demo] Language Interoperability
8. gRPC Reflection & Evans CLI
[Hands-On] gRPC Advanced Features Deep Dive: gRPC Reflection & Evans CLI
9. [Hands-On] CRUD API with MongoDB
Video 9.1: Install MongoDB
1. Install MongoDB
[Hands-On] CRUD API with MongoDB: Install MongoDB
2. Install MongoDB UI - Robo 3T
[Hands-On] CRUD API with MongoDB: Install MongoDB UI - Robo 3T
3. Blog Service Java Setup
[Hands-On] CRUD API with MongoDB: Blog Service Java Setup
4. CreateBlog Server
[Hands-On] CRUD API with MongoDB: CreateBlog Server
5. CreateBlog Client
[Hands-On] CRUD API with MongoDB: CreateBlog Client
6. ReadBlog Server
[Hands-On] CRUD API with MongoDB: ReadBlog Server
7. ReadBlog Client
[Hands-On] CRUD API with MongoDB: ReadBlog Client
8. UpdateBlog Server
[Hands-On] CRUD API with MongoDB: UpdateBlog Server
9. UpdateBlog Client
[Hands-On] CRUD API with MongoDB: UpdateBlog Client
10. DeleteBlog Server
[Hands-On] CRUD API with MongoDB: DeleteBlog Server
11. DeleteBlog Client
[Hands-On] CRUD API with MongoDB: DeleteBlog Client
12. ListBlog Server
[Hands-On] CRUD API with MongoDB: ListBlog Server
13. ListBlog Client
[Hands-On] CRUD API with MongoDB: ListBlog Client
14. Evans CLI test with CRUD
[Hands-On] CRUD API with MongoDB: Evans CLI test with CRUD
10. Next Steps
Video 10.1: gRPC Services in the Real Word
1. gRPC Services in the Real Word
Next Steps: gRPC Services in the Real Word
2. Congrats & Next Steps
Next Steps: Congrats & Next Steps

Packt

Java

Microservices

Web Development

Better than REST APIs! Build a fast and scalable HTTP/2 API for your microservice with gRPC and protocol buffers (protobufs).

gRPC [Java] Master Class: Build Modern API and Microservices

General Admission

<strong>Increase your cybersecurity capability by learning to perform dynamic and static malware analysis!</strong>
        <p>Nearly every incident response that occurs in the cyber security field comes back to the initial intrusion vector: malware. In this course, you will learn about the various types and categories of malware, their symptoms, and how they work. As an incident responder, it is imperative that you understand the symptoms of malware, but more importantly that you are able to understand what that malware is doing, and quickly. So, if you have ever wondered how to better understand malware, this is the course for you!</p>
        <h2>What You Will Learn</h2><p>- You will understand the steps and processes involved in static and dynamic malware analysis.<br>- You will be able to perform basic dynamic malware analysis.<br>- You will understand the various types of malware found in the wild</p>
        <h2>Audience</h2><p>Anyone who wants to gain an understanding of how malware functions. Anyone who wants to learn the steps and processes involved in malware analysis</p>
        <h2>Approach</h2><p>In this course, you will learn how to perform the basics of dynamic malware analysis, a tried and true method of understanding what an unknown binary (malware) is doing on an infected system.</p>
        <h2>Key Features</h2><p>- You will build your own malware analysis virtual lab to create a safe analysis environment using FlareVM.  * - We will perform the analysis on a real-world piece of malware to fully understand the concepts covered in this course.</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/introduction-to-malware-analysis-for-incident-responders</p>
        <h2>About the Author</h2><h3>Jason Dion</h3><p>Jason Dion, CISSP No. 349867, is an adjunct instructor at Liberty University's College of Engineering and Computational Science and Anne Arundel Community College's Department of Computing Technologies with multiple information technology professional certifications, including Certified Information Systems Security Professional (CISSP), Certified Ethical Hacker (CEH), Certified Network Defense Architect (CNDA), Digital Forensic Examiner (DFE), Digital Media Collector (DMC), Security+, Network+, A+, PRINCE2, and Information Technology Infrastructure Library v3. He has been a deputy director of a network operations center, and an information systems officer for large organizations around the globe.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome to the Course</p><p style='margin: 0'>In this video, students will get a short overview of the course.</p></td></tr></tbody></table><br><h4>2. Malware Concepts: Building a solid foundation upon which to learn</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What is Malware?</p><p style='margin: 0'>In this video, students will be exposed to what malware is and is not.</p></td></tr><tr><td style='padding: 15px;'><p>2. Symptoms and Activities</p><p style='margin: 0'>Learn the symptoms of malware on an infected computer.</p></td></tr><tr><td style='padding: 15px;'><p>3. Types of Malware</p><p style='margin: 0'>Learn the different types of malware.</p></td></tr><tr><td style='padding: 15px;'><p>4. Infection Vectors</p><p style='margin: 0'>Learn the different types of infection vectors for malware.</p></td></tr></tbody></table><br><h4>3. Malware Analysis: Foundational concepts before begin working with malware</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Malware Analysis Overview and Types</p><p style='margin: 0'>Learn the types of malware analysis.</p></td></tr><tr><td style='padding: 15px;'><p>2. Static Analysis</p><p style='margin: 0'>Learn about static malware analysis.</p></td></tr><tr><td style='padding: 15px;'><p>3. Dynamic Analysis</p><p style='margin: 0'>In this video, students will learn about dynamic malware analysis.</p></td></tr></tbody></table><br><h4>4. Setting Up the Analysis Environment (FlareVM)</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Install Virtual Box</p><p style='margin: 0'>In this video, students will learn how to install Virtual Box.</p></td></tr><tr><td style='padding: 15px;'><p>2. Install Windows 10</p><p style='margin: 0'>Learn how to install Windows 10.</p></td></tr><tr><td style='padding: 15px;'><p>3. Download and Install FlareVM</p><p style='margin: 0'>Learn how to install FlareVM</p></td></tr><tr><td style='padding: 15px;'><p>4. Creating a Snapshot of a the Clean FlareVM</p><p style='margin: 0'>In this video, students will learn how to create snapshots in Virtual Box.</p></td></tr><tr><td style='padding: 15px;'><p>5. Disabling the Firewall and Antivirus</p><p style='margin: 0'>In this video, students will learn how to turn off the firewall and antivirus in our system.</p></td></tr></tbody></table><br><h4>5. Conducting the Analysis</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Attempting Static Analysis with Floss</p><p style='margin: 0'>In this video, students will learn how to conduct static analysis with Floss.</p></td></tr><tr><td style='padding: 15px;'><p>2. Beginning Dynamic Analysis with Autoruns</p><p style='margin: 0'>In this video, students will learn how to conduct dynamic analysis with Autoruns.</p></td></tr><tr><td style='padding: 15px;'><p>3. Investigating the Scheduled Task</p><p style='margin: 0'>In this video, students will learn how to conduct dynamic analysis with Scheduled Tasks.</p></td></tr><tr><td style='padding: 15px;'><p>4. Packet Analysis with Wireshark and Process Monitoring</p><p style='margin: 0'>In this video, students will learn how to conduct dynamic analysis with Wireshark and Process Monitoring.</p></td></tr><tr><td style='padding: 15px;'><p>5. Files and Folders Created</p><p style='margin: 0'>In this video, students will learn how to conduct dynamic analysis by analyzing the files and folders created.</p></td></tr><tr><td style='padding: 15px;'><p>6. Static Analysis with Ida and OllyDbg</p><p style='margin: 0'>In this video, students will learn how to conduct static analysis with Ida and OllyDbg.</p></td></tr><tr><td style='padding: 15px;'><p>7. Static Analysis with Process Dump</p><p style='margin: 0'>In this video, students will learn how to conduct static analysis with Process Dump.</p></td></tr><tr><td style='padding: 15px;'><p>8. Open Source Research</p><p style='margin: 0'>In this video, students will learn how to conduct open source research on malware.</p></td></tr></tbody></table><br><h4>6. Conclusion</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Conclusion</p><p style='margin: 0'>This video contains a short summary of the course.</p></td></tr></tbody></table>

Increase your cybersecurity capability by learning to perform dynamic and static malware analysis!
Nearly every incident response that occurs in the cyber security field comes back to the initial intrusion vector: malware. In this course, you will learn about the various types and categories of malware, their symptoms, and how they work. As an incident responder, it is imperative that you understand the symptoms of malware, but more importantly that you are able to understand what that malware is doing, and quickly. So, if you have ever wondered how to better understand malware, this is the course for you!
What You Will Learn
- You will understand the steps and processes involved in static and dynamic malware analysis.
- You will be able to perform basic dynamic malware analysis.
- You will understand the various types of malware found in the wild
Audience
Anyone who wants to gain an understanding of how malware functions. Anyone who wants to learn the steps and processes involved in malware analysis
Approach
In this course, you will learn how to perform the basics of dynamic malware analysis, a tried and true method of understanding what an unknown binary (malware) is doing on an infected system.
Key Features
- You will build your own malware analysis virtual lab to create a safe analysis environment using FlareVM. * - We will perform the analysis on a real-world piece of malware to fully understand the concepts covered in this course.
Github Repo
https://github.com/packtpublishing/introduction-to-malware-analysis-for-incident-responders
About the Author
Jason Dion
Jason Dion, CISSP No. 349867, is an adjunct instructor at Liberty University's College of Engineering and Computational Science and Anne Arundel Community College's Department of Computing Technologies with multiple information technology professional certifications, including Certified Information Systems Security Professional (CISSP), Certified Ethical Hacker (CEH), Certified Network Defense Architect (CNDA), Digital Forensic Examiner (DFE), Digital Media Collector (DMC), Security+, Network+, A+, PRINCE2, and Information Technology Infrastructure Library v3. He has been a deputy director of a network operations center, and an information systems officer for large organizations around the globe.
Course Outline
1. Introduction

1. Welcome to the Course
In this video, students will get a short overview of the course.
2. Malware Concepts: Building a solid foundation upon which to learn

1. What is Malware?
In this video, students will be exposed to what malware is and is not.
2. Symptoms and Activities
Learn the symptoms of malware on an infected computer.
3. Types of Malware
Learn the different types of malware.
4. Infection Vectors
Learn the different types of infection vectors for malware.
3. Malware Analysis: Foundational concepts before begin working with malware

1. Malware Analysis Overview and Types
Learn the types of malware analysis.
2. Static Analysis
Learn about static malware analysis.
3. Dynamic Analysis
In this video, students will learn about dynamic malware analysis.
4. Setting Up the Analysis Environment (FlareVM)

1. Install Virtual Box
In this video, students will learn how to install Virtual Box.
2. Install Windows 10
Learn how to install Windows 10.
3. Download and Install FlareVM
Learn how to install FlareVM
4. Creating a Snapshot of a the Clean FlareVM
In this video, students will learn how to create snapshots in Virtual Box.
5. Disabling the Firewall and Antivirus
In this video, students will learn how to turn off the firewall and antivirus in our system.
5. Conducting the Analysis

1. Attempting Static Analysis with Floss
In this video, students will learn how to conduct static analysis with Floss.
2. Beginning Dynamic Analysis with Autoruns
In this video, students will learn how to conduct dynamic analysis with Autoruns.
3. Investigating the Scheduled Task
In this video, students will learn how to conduct dynamic analysis with Scheduled Tasks.
4. Packet Analysis with Wireshark and Process Monitoring
In this video, students will learn how to conduct dynamic analysis with Wireshark and Process Monitoring.
5. Files and Folders Created
In this video, students will learn how to conduct dynamic analysis by analyzing the files and folders created.
6. Static Analysis with Ida and OllyDbg
In this video, students will learn how to conduct static analysis with Ida and OllyDbg.
7. Static Analysis with Process Dump
In this video, students will learn how to conduct static analysis with Process Dump.
8. Open Source Research
In this video, students will learn how to conduct open source research on malware.
6. Conclusion

1. Conclusion
This video contains a short summary of the course.

Malware Analysis

Python

Security

Increase your cybersecurity capability by learning to perform dynamic and static malware analysis!

Introduction to Malware Analysis for Incident Responders

<strong>Implement machine learning-based clustering and classification in Python for pattern recognition and data analysis</strong>
        <p>In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By becoming proficient in unsupervised and supervised learning in Python, you can give your company a competitive edge and level up in your career. This course will give you a robust grounding in clustering and classification, the main aspects of machine learning.

The course consists of 7 sections that will help you master Python machine learning. You'll begin with an introduction to Python data science and Anaconda, which is a powerful Python-driven framework for data science. Next, you'll delve into Pandas and read data structures, including CSV, Excel, and HTML data. As you advance, you'll perform data cleaning and munging to remove NAs\no data and discover how to handle conditional data, group by attributes, and do much more. You'll also grasp basic concepts of unsupervised learning such as K-means clustering and its implementation on the Iris dataset. The course will take you through the theory of dimension reduction and feature selection for machine learning and help you understand Principal Component Analysis (PCA) using two case studies. You'll get to grips with the linear and non-linear classification of SVM along with Gradient Boosting Machine (GBM) and Naive Bayes Classification. Finally, you'll explore neural networks and discover the powerful H20 framework and for deep learning classification. Additionally, you'll learn about perceptrons and Artificial Neural Networks (ANN) for binary classification.
By the end of this course, you'll be able to use packages such as NumPy, Pandas, and Matplotlib to work with real data in Python.

All code and supporting files for this course are available at 
https://github.com/sanjanapackt/PacktPublishing-Clustering-and-Classification-with-Machine-Learning-in-Python.</p>
        <h2>What You Will Learn</h2><p>Harness the power of Anaconda/iPython for practical data science<br>Read data into the Python environment from different sources<br>Carry out basic data preprocessing and wrangling in Python<br>Implement unsupervised/clustering techniques such as k-means clustering<br>Get to grips with dimensionality reduction techniques and feature selection<br>Implement supervised learning/classification techniques such as random forests<br>Explore neural network- and deep learning-based classification<br></p>
        <h2>Audience</h2><p>If you want to build data science applications in the Python environment, this book is for you. You'll also find this book helpful if you want to learn how to implement unsupervised learning on real data using Python, or if you're a student looking to get started with artificial neural networks and deep learning.</p>
        <h2>Approach</h2><p>This course is full of interesting and illustrative examples and easy-to-understand theory to help you implement a real-world concept in every lecture. It covers hands-on methods to simplify and address even the most difficult concepts in Python using minimal jargon.</p>
        <h2>Key Features</h2><p>Explore the most important Python data science concepts and packages, including Pandas * Master the Anaconda framework and use it to implement clustering and classification models on your data * Get to grips with data science fundamentals and understand which models should be used when * </p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/clustering-and-classification-with-machine-learning-in-r</p>
        <h2>About the Author</h2><h3>Minerva Singh</h3><p>Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.</p>
        <h2>Course Outline</h2><h4>1. INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome to Clustering & Classification with Machine Learning in Python</p><p style='margin: 0'>INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: Welcome to Clustering & Classification with Machine Learning in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. What is Machine Learning?</p><p style='margin: 0'>INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: What is Machine Learning?</p></td></tr><tr><td style='padding: 15px;'><p>3. Python Data Science Environment</p><p style='margin: 0'>INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: Python Data Science Environment</p></td></tr><tr><td style='padding: 15px;'><p>4. For Mac Users</p><p style='margin: 0'>INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: For Mac Users</p></td></tr><tr><td style='padding: 15px;'><p>5. IPython in Browser</p><p style='margin: 0'>INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: IPython in Browser</p></td></tr><tr><td style='padding: 15px;'><p>6. Python Data Science Packages to Be Used</p><p style='margin: 0'>INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: Python Data Science Packages to Be Used</p></td></tr></tbody></table><br><h4>2. Read in Data from Different Sources with Pandas</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What are Pandas?</p><p style='margin: 0'>Read in Data from Different Sources with Pandas: What are Pandas?</p></td></tr><tr><td style='padding: 15px;'><p>2. Read in Data from CSV</p><p style='margin: 0'>Read in Data from Different Sources with Pandas: Read in Data from CSV</p></td></tr><tr><td style='padding: 15px;'><p>3. Read in Online CSV</p><p style='margin: 0'>Read in Data from Different Sources with Pandas: Read in Online CSV</p></td></tr><tr><td style='padding: 15px;'><p>4. Read in Excel Data</p><p style='margin: 0'>Read in Data from Different Sources with Pandas: Read in Excel Data</p></td></tr><tr><td style='padding: 15px;'><p>5. Read in HTML Data</p><p style='margin: 0'>Read in Data from Different Sources with Pandas: Read in HTML Data</p></td></tr><tr><td style='padding: 15px;'><p>6. Read in Data from Databases</p><p style='margin: 0'>Read in Data from Different Sources with Pandas: Read in Data from Databases</p></td></tr></tbody></table><br><h4>3. Data Cleaning & Munging</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Remove Missing Values</p><p style='margin: 0'>Data Cleaning & Munging: Remove Missing Values</p></td></tr><tr><td style='padding: 15px;'><p>2. Conditional Data Selection</p><p style='margin: 0'>Data Cleaning & Munging: Conditional Data Selection</p></td></tr><tr><td style='padding: 15px;'><p>3. Data Grouping</p><p style='margin: 0'>Data Cleaning & Munging: Data Grouping</p></td></tr><tr><td style='padding: 15px;'><p>4. Data Sub setting</p><p style='margin: 0'>Data Cleaning & Munging: Data sub setting</p></td></tr><tr><td style='padding: 15px;'><p>5. Ranking & Sorting</p><p style='margin: 0'>Data Cleaning & Munging: Ranking & Sorting</p></td></tr><tr><td style='padding: 15px;'><p>6. Concatenate</p><p style='margin: 0'>Data Cleaning & Munging: Concatenate</p></td></tr><tr><td style='padding: 15px;'><p>7. Merging & Joining Data Frames</p><p style='margin: 0'>Data Cleaning & Munging: Merging & Joining Data Frames</p></td></tr></tbody></table><br><h4>4. Unsupervised Learning in Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Unsupervised Classification- Some Basic Concepts</p><p style='margin: 0'>Unsupervised Learning in Python: Unsupervised Classification- Some Basic Concepts</p></td></tr><tr><td style='padding: 15px;'><p>2. K-Means Clustering: Theory</p><p style='margin: 0'>Unsupervised Learning in Python: K-Means Clustering: Theory</p></td></tr><tr><td style='padding: 15px;'><p>3. Implement K-Means on the Iris Data</p><p style='margin: 0'>Unsupervised Learning in Python: Implement K-Means on the Iris Data</p></td></tr><tr><td style='padding: 15px;'><p>4. Quantifying K-Means Clustering Performance</p><p style='margin: 0'>Unsupervised Learning in Python: Quantifying K-Means Clustering Performance</p></td></tr><tr><td style='padding: 15px;'><p>5. K-Means Clustering with Real Data</p><p style='margin: 0'>Unsupervised Learning in Python: K-Means Clustering with Real Data</p></td></tr><tr><td style='padding: 15px;'><p>6. How to Select the Optimal Number of Clusters?</p><p style='margin: 0'>Unsupervised Learning in Python: How to Select the Optimal Number of Clusters?</p></td></tr><tr><td style='padding: 15px;'><p>7. Gaussian Mixture Modelling (GMM)</p><p style='margin: 0'>Unsupervised Learning in Python: Gaussian Mixture Modelling (GMM)</p></td></tr><tr><td style='padding: 15px;'><p>8. Hierarchical Clustering-theory</p><p style='margin: 0'>Unsupervised Learning in Python: Hierarchical Clustering-theory</p></td></tr><tr><td style='padding: 15px;'><p>9. Hierarchical Clustering-practical</p><p style='margin: 0'>Unsupervised Learning in Python: Hierarchical Clustering-practical</p></td></tr></tbody></table><br><h4>5. Dimension Reduction & Feature Selection for Machine Learning</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Principal Component Analysis (PCA)-Theory</p><p style='margin: 0'>Dimension Reduction & Feature Selection for Machine Learning: Principal Component Analysis (PCA)-Theory</p></td></tr><tr><td style='padding: 15px;'><p>2. Principal Component Analysis (PCA)-Case Study 1</p><p style='margin: 0'>Dimension Reduction & Feature Selection for Machine Learning: Principal Component Analysis (PCA)-Case Study 1</p></td></tr><tr><td style='padding: 15px;'><p>3. Principal Component Analysis (PCA)-Case Study 2</p><p style='margin: 0'>Dimension Reduction & Feature Selection for Machine Learning: Principal Component Analysis (PCA)-Case Study 2</p></td></tr><tr><td style='padding: 15px;'><p>4. Linear Discriminant Analysis (LDA) for Dimension Reduction</p><p style='margin: 0'>Dimension Reduction & Feature Selection for Machine Learning: Linear Discriminant Analysis (LDA) for Dimension Reduction</p></td></tr><tr><td style='padding: 15px;'><p>5. t-SNE Dimension Reduction</p><p style='margin: 0'>Dimension Reduction & Feature Selection for Machine Learning: t-SNE Dimension Reduction</p></td></tr><tr><td style='padding: 15px;'><p>6. Feature Selection to Select the Most Relevant Predictors</p><p style='margin: 0'>Dimension Reduction & Feature Selection for Machine Learning: Feature Selection to Select the Most Relevant Predictors</p></td></tr><tr><td style='padding: 15px;'><p>7. Recursive Feature Elimination (RFE)</p><p style='margin: 0'>Dimension Reduction & Feature Selection for Machine Learning: Recursive Feature Elimination (RFE)</p></td></tr></tbody></table><br><h4>6. Supervised Learning: Classification</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Concepts Behind Supervised Learning</p><p style='margin: 0'>Supervised Learning: Classification: Concepts Behind Supervised Learning</p></td></tr><tr><td style='padding: 15px;'><p>2. Data Preparation for Supervised Learning</p><p style='margin: 0'>Supervised Learning: Classification: Data Preparation for Supervised Learning</p></td></tr><tr><td style='padding: 15px;'><p>3. Pointers on Evaluating the Accuracy of Classification Modelling</p><p style='margin: 0'>Supervised Learning: Classification: Pointers on Evaluating the Accuracy of Classification Modelling</p></td></tr><tr><td style='padding: 15px;'><p>4. Using Logistic Regression as a Classification Model</p><p style='margin: 0'>Supervised Learning: Classification: Using Logistic Regression as a Classification Model</p></td></tr><tr><td style='padding: 15px;'><p>5. kNN- Classification</p><p style='margin: 0'>Supervised Learning: Classification: kNN- Classification</p></td></tr><tr><td style='padding: 15px;'><p>6. Naive Bayes Classification</p><p style='margin: 0'>Supervised Learning: Classification: Naive Bayes Classification</p></td></tr><tr><td style='padding: 15px;'><p>7. Linear Discriminant Analysis</p><p style='margin: 0'>Supervised Learning: Classification: Linear Discriminant Analysis</p></td></tr><tr><td style='padding: 15px;'><p>8. SVM- Linear Classification</p><p style='margin: 0'>Supervised Learning: Classification: SVM- Linear Classification</p></td></tr><tr><td style='padding: 15px;'><p>9. Non-Linear SVM Classification</p><p style='margin: 0'>Supervised Learning: Classification: Non-Linear SVM Classification</p></td></tr><tr><td style='padding: 15px;'><p>10. RF-Classification</p><p style='margin: 0'>Supervised Learning: Classification: RF-Classification</p></td></tr><tr><td style='padding: 15px;'><p>11. Gradient Boosting Machine (GBM)</p><p style='margin: 0'>Supervised Learning: Classification: Gradient Boosting Machine (GBM)</p></td></tr><tr><td style='padding: 15px;'><p>12. Voting Classifier</p><p style='margin: 0'>Supervised Learning: Classification: Voting Classifier</p></td></tr></tbody></table><br><h4>7. Neural Networks and Deep Learning Based Classification Techniques</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Perceptrons for Binary Classification</p><p style='margin: 0'>Neural Networks and Deep Learning Based Classification Techniques: Perceptrons for Binary Classification</p></td></tr><tr><td style='padding: 15px;'><p>2. Artificial Neural Networks (ANN) for Binary Classification</p><p style='margin: 0'>Neural Networks and Deep Learning Based Classification Techniques: Artificial Neural Networks (ANN) for Binary Classification</p></td></tr><tr><td style='padding: 15px;'><p>3. Multi-class Classification With MLP</p><p style='margin: 0'>Neural Networks and Deep Learning Based Classification Techniques: Multi-class Classification With MLP</p></td></tr><tr><td style='padding: 15px;'><p>4. Introduction to H20</p><p style='margin: 0'>Neural Networks and Deep Learning Based Classification Techniques: Introduction to H20</p></td></tr><tr><td style='padding: 15px;'><p>5. Use H20 for Deep Learning Classification</p><p style='margin: 0'>Neural Networks and Deep Learning Based Classification Techniques: Use H20 for Deep Learning Classification</p></td></tr><tr><td style='padding: 15px;'><p>6. H20 Deep Learning for Classification</p><p style='margin: 0'>Neural Networks and Deep Learning Based Classification Techniques: H20 Deep Learning for Classification</p></td></tr></tbody></table>

Implement machine learning-based clustering and classification in Python for pattern recognition and data analysis
In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By becoming proficient in unsupervised and supervised learning in Python, you can give your company a competitive edge and level up in your career. This course will give you a robust grounding in clustering and classification, the main aspects of machine learning. The course consists of 7 sections that will help you master Python machine learning. You'll begin with an introduction to Python data science and Anaconda, which is a powerful Python-driven framework for data science. Next, you'll delve into Pandas and read data structures, including CSV, Excel, and HTML data. As you advance, you'll perform data cleaning and munging to remove NAs\no data and discover how to handle conditional data, group by attributes, and do much more. You'll also grasp basic concepts of unsupervised learning such as K-means clustering and its implementation on the Iris dataset. The course will take you through the theory of dimension reduction and feature selection for machine learning and help you understand Principal Component Analysis (PCA) using two case studies. You'll get to grips with the linear and non-linear classification of SVM along with Gradient Boosting Machine (GBM) and Naive Bayes Classification. Finally, you'll explore neural networks and discover the powerful H20 framework and for deep learning classification. Additionally, you'll learn about perceptrons and Artificial Neural Networks (ANN) for binary classification.
By the end of this course, you'll be able to use packages such as NumPy, Pandas, and Matplotlib to work with real data in Python. All code and supporting files for this course are available at https://github.com/sanjanapackt/PacktPublishing-Clustering-and-Classification-with-Machine-Learning-in-Python.
What You Will Learn
Harness the power of Anaconda/iPython for practical data science
Read data into the Python environment from different sources
Carry out basic data preprocessing and wrangling in Python
Implement unsupervised/clustering techniques such as k-means clustering
Get to grips with dimensionality reduction techniques and feature selection
Implement supervised learning/classification techniques such as random forests
Explore neural network- and deep learning-based classification

Audience
If you want to build data science applications in the Python environment, this book is for you. You'll also find this book helpful if you want to learn how to implement unsupervised learning on real data using Python, or if you're a student looking to get started with artificial neural networks and deep learning.
Approach
This course is full of interesting and illustrative examples and easy-to-understand theory to help you implement a real-world concept in every lecture. It covers hands-on methods to simplify and address even the most difficult concepts in Python using minimal jargon.
Key Features
Explore the most important Python data science concepts and packages, including Pandas * Master the Anaconda framework and use it to implement clustering and classification models on your data * Get to grips with data science fundamentals and understand which models should be used when * 
Github Repo
https://github.com/packtpublishing/clustering-and-classification-with-machine-learning-in-r
About the Author
Minerva Singh
Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.
Course Outline
1. INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools

1. Welcome to Clustering & Classification with Machine Learning in Python
INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: Welcome to Clustering & Classification with Machine Learning in Python
2. What is Machine Learning?
INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: What is Machine Learning?
3. Python Data Science Environment
INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: Python Data Science Environment
4. For Mac Users
INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: For Mac Users
5. IPython in Browser
INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: IPython in Browser
6. Python Data Science Packages to Be Used
INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: Python Data Science Packages to Be Used
2. Read in Data from Different Sources with Pandas

1. What are Pandas?
Read in Data from Different Sources with Pandas: What are Pandas?
2. Read in Data from CSV
Read in Data from Different Sources with Pandas: Read in Data from CSV
3. Read in Online CSV
Read in Data from Different Sources with Pandas: Read in Online CSV
4. Read in Excel Data
Read in Data from Different Sources with Pandas: Read in Excel Data
5. Read in HTML Data
Read in Data from Different Sources with Pandas: Read in HTML Data
6. Read in Data from Databases
Read in Data from Different Sources with Pandas: Read in Data from Databases
3. Data Cleaning & Munging

1. Remove Missing Values
Data Cleaning & Munging: Remove Missing Values
2. Conditional Data Selection
Data Cleaning & Munging: Conditional Data Selection
3. Data Grouping
Data Cleaning & Munging: Data Grouping
4. Data Sub setting
Data Cleaning & Munging: Data sub setting
5. Ranking & Sorting
Data Cleaning & Munging: Ranking & Sorting
6. Concatenate
Data Cleaning & Munging: Concatenate
7. Merging & Joining Data Frames
Data Cleaning & Munging: Merging & Joining Data Frames
4. Unsupervised Learning in Python

1. Unsupervised Classification- Some Basic Concepts
Unsupervised Learning in Python: Unsupervised Classification- Some Basic Concepts
2. K-Means Clustering: Theory
Unsupervised Learning in Python: K-Means Clustering: Theory
3. Implement K-Means on the Iris Data
Unsupervised Learning in Python: Implement K-Means on the Iris Data
4. Quantifying K-Means Clustering Performance
Unsupervised Learning in Python: Quantifying K-Means Clustering Performance
5. K-Means Clustering with Real Data
Unsupervised Learning in Python: K-Means Clustering with Real Data
6. How to Select the Optimal Number of Clusters?
Unsupervised Learning in Python: How to Select the Optimal Number of Clusters?
7. Gaussian Mixture Modelling (GMM)
Unsupervised Learning in Python: Gaussian Mixture Modelling (GMM)
8. Hierarchical Clustering-theory
Unsupervised Learning in Python: Hierarchical Clustering-theory
9. Hierarchical Clustering-practical
Unsupervised Learning in Python: Hierarchical Clustering-practical
5. Dimension Reduction & Feature Selection for Machine Learning

1. Principal Component Analysis (PCA)-Theory
Dimension Reduction & Feature Selection for Machine Learning: Principal Component Analysis (PCA)-Theory
2. Principal Component Analysis (PCA)-Case Study 1
Dimension Reduction & Feature Selection for Machine Learning: Principal Component Analysis (PCA)-Case Study 1
3. Principal Component Analysis (PCA)-Case Study 2
Dimension Reduction & Feature Selection for Machine Learning: Principal Component Analysis (PCA)-Case Study 2
4. Linear Discriminant Analysis (LDA) for Dimension Reduction
Dimension Reduction & Feature Selection for Machine Learning: Linear Discriminant Analysis (LDA) for Dimension Reduction
5. t-SNE Dimension Reduction
Dimension Reduction & Feature Selection for Machine Learning: t-SNE Dimension Reduction
6. Feature Selection to Select the Most Relevant Predictors
Dimension Reduction & Feature Selection for Machine Learning: Feature Selection to Select the Most Relevant Predictors
7. Recursive Feature Elimination (RFE)
Dimension Reduction & Feature Selection for Machine Learning: Recursive Feature Elimination (RFE)
6. Supervised Learning: Classification

1. Concepts Behind Supervised Learning
Supervised Learning: Classification: Concepts Behind Supervised Learning
2. Data Preparation for Supervised Learning
Supervised Learning: Classification: Data Preparation for Supervised Learning
3. Pointers on Evaluating the Accuracy of Classification Modelling
Supervised Learning: Classification: Pointers on Evaluating the Accuracy of Classification Modelling
4. Using Logistic Regression as a Classification Model
Supervised Learning: Classification: Using Logistic Regression as a Classification Model
5. kNN- Classification
Supervised Learning: Classification: kNN- Classification
6. Naive Bayes Classification
Supervised Learning: Classification: Naive Bayes Classification
7. Linear Discriminant Analysis
Supervised Learning: Classification: Linear Discriminant Analysis
8. SVM- Linear Classification
Supervised Learning: Classification: SVM- Linear Classification
9. Non-Linear SVM Classification
Supervised Learning: Classification: Non-Linear SVM Classification
10. RF-Classification
Supervised Learning: Classification: RF-Classification
11. Gradient Boosting Machine (GBM)
Supervised Learning: Classification: Gradient Boosting Machine (GBM)
12. Voting Classifier
Supervised Learning: Classification: Voting Classifier
7. Neural Networks and Deep Learning Based Classification Techniques

1. Perceptrons for Binary Classification
Neural Networks and Deep Learning Based Classification Techniques: Perceptrons for Binary Classification
2. Artificial Neural Networks (ANN) for Binary Classification
Neural Networks and Deep Learning Based Classification Techniques: Artificial Neural Networks (ANN) for Binary Classification
3. Multi-class Classification With MLP
Neural Networks and Deep Learning Based Classification Techniques: Multi-class Classification With MLP
4. Introduction to H20
Neural Networks and Deep Learning Based Classification Techniques: Introduction to H20
5. Use H20 for Deep Learning Classification
Neural Networks and Deep Learning Based Classification Techniques: Use H20 for Deep Learning Classification
6. H20 Deep Learning for Classification
Neural Networks and Deep Learning Based Classification Techniques: H20 Deep Learning for Classification

Implement machine learning-based clustering and classification in Python for pattern recognition and data analysis

Clustering and Classification with Machine Learning in Python

<strong>The goal of this course is to use Python machine learning to create algorithms that you can use in the real world. You'll start with the basics of machine learning. You'll learn how to create, train, and optimize models and use these models in real-world applications.</strong>
        <p>Machine learning is a field of computer science through which you can create complex models that perform multiple functions using mathematical input. Python is a popular choice to create machine learning models due to a plethora of libraries easily accessible. This course takes you through this impressive combination of Python and machine learning, teaching you the basics of machine learning to create your own projects.

You'll begin learning about different types of machine learning models and how to choose the relevant ones for your project. You'll learn to optimize this model and apply performance metrics to track its performance. You'll also learn topics like regression, classification, and clustering to improve the performance of your model. You'll learn the basics of neural networks and use scikit-learn to perform calculations in your project.

By the end of this course, you'll have created a face recognition application using everything you've learned in this course.

The code bundle for this course is available at https://github.com/PacktPublishing/Python-Machine-Learning-Crash-Course-for-Beginners</p>
        <h2>What You Will Learn</h2><p>Train different types of machine learning models for your project<br>Prepare and clean data for your project<br>Optimize your machine learning model to best suit your project needs<br>Build your own machine learning model from scratch<br>Apply performance metrics to track the performance of your model<br>Use scikit-learn to perform calculations in your project</p>
        <h2>Audience</h2><p>This course is for Python developers who are new in the field of machine learning. No prior knowledge or experience of machine learning is required. A basic understanding of Python programming will be needed here.</p>
        <h2>Approach</h2><p>This is a hands-on course that takes you through all the machine learning concepts step-by-step while showing you real-world applications for each step.</p>
        <h2>Key Features</h2><p>Build a face recognition application from scratch * Prepare and train your data for your projects * Learn real-world applications of your algorithms</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-Machine-Learning-Crash-Course-for-Beginners</p>
        <h2>About the Author</h2><h3>AI Sciences</h3><p>AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.

AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences.

Their courses have successfully helped more than 100,000 students master AI and data science.</p>
        <h2>Course Outline</h2><h4>1. Introduction to the Course</h4><p></p><br><h4>2. Why Machine Learning</h4><p></p><br><h4>3. Process of Learning from Data</h4><p></p><br><h4>4. Machine Learning Methods</h4><p></p><br><h4>5. Data Preparation and Preprocessing</h4><p></p><br><h4>6. Machine Learning Models and Optimization</h4><p></p><br><h4>7. Building Machine Learning Model from Scratch</h4><p></p><br><h4>8. Overfitting, Underfitting and Generalization</h4><p></p><br><h4>9. Machine Learning Model Performance Metrics</h4><p></p><br><h4>10. Dimensionality Reduction</h4><p></p><br><h4>11. Deep Learning Overview</h4><p></p><br><h4>12. Hands-on Machine Learning Project Using Scikit-Learn</h4><p></p><br><h4>13. OPTIONAL Section- Mathematics Wrap-up</h4><p></p>

The goal of this course is to use Python machine learning to create algorithms that you can use in the real world. You'll start with the basics of machine learning. You'll learn how to create, train, and optimize models and use these models in real-world applications.
Machine learning is a field of computer science through which you can create complex models that perform multiple functions using mathematical input. Python is a popular choice to create machine learning models due to a plethora of libraries easily accessible. This course takes you through this impressive combination of Python and machine learning, teaching you the basics of machine learning to create your own projects. You'll begin learning about different types of machine learning models and how to choose the relevant ones for your project. You'll learn to optimize this model and apply performance metrics to track its performance. You'll also learn topics like regression, classification, and clustering to improve the performance of your model. You'll learn the basics of neural networks and use scikit-learn to perform calculations in your project. By the end of this course, you'll have created a face recognition application using everything you've learned in this course. The code bundle for this course is available at https://github.com/PacktPublishing/Python-Machine-Learning-Crash-Course-for-Beginners
What You Will Learn
Train different types of machine learning models for your project
Prepare and clean data for your project
Optimize your machine learning model to best suit your project needs
Build your own machine learning model from scratch
Apply performance metrics to track the performance of your model
Use scikit-learn to perform calculations in your project
Audience
This course is for Python developers who are new in the field of machine learning. No prior knowledge or experience of machine learning is required. A basic understanding of Python programming will be needed here.
Approach
This is a hands-on course that takes you through all the machine learning concepts step-by-step while showing you real-world applications for each step.
Key Features
Build a face recognition application from scratch * Prepare and train your data for your projects * Learn real-world applications of your algorithms
Github Repo
https://github.com/PacktPublishing/Python-Machine-Learning-Crash-Course-for-Beginners
About the Author
AI Sciences
AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences. Their courses have successfully helped more than 100,000 students master AI and data science.
Course Outline
1. Introduction to the Course

2. Why Machine Learning

3. Process of Learning from Data

4. Machine Learning Methods

5. Data Preparation and Preprocessing

6. Machine Learning Models and Optimization

7. Building Machine Learning Model from Scratch

8. Overfitting, Underfitting and Generalization

9. Machine Learning Model Performance Metrics

10. Dimensionality Reduction

11. Deep Learning Overview

12. Hands-on Machine Learning Project Using Scikit-Learn

13. OPTIONAL Section- Mathematics Wrap-up


The goal of this course is to use Python machine learning to create algorithms that you can use in the real world. You'll start with the basics of machine learning. You'll learn how to create, train, and optimize models and use these models in real-world applications.

Python Machine Learning Crash Course for Beginners

<strong>This comprehensive course delves into the realm of cutting-edge technology, guiding you from Rust basics to mastery. Discover the potential of GPT-4 as you build 'Auto-Gippity', an AI code wizard. Harness Rust's speed and safety, and revolutionize coding with blazing-fast, memory-safe automation for next-gen software engineering!</strong>
        <p>In this course, we will embark on an exciting journey to master Rust programming from zero to hero, while leveraging the cutting-edge GPT-4 (ChatGPT) to build our very own AutoGPT agent, named 'Auto-Gippity'.

Starting with a Rust crash course, you will learn the language inside out, progressing from basic concepts to intermediate and advanced topics. We will explore Rust installation, creating projects, functions, and more. This strong Rust foundation will set the stage for our AutoGPT project.

Next, we will dive into the heart of the course. We will develop a web server template using Actix Web in Rust, integrating AI functions to write, test, and optimize code. Our AutoGPT agent, 'Gippity', will amaze you by accepting tasks, breaking them down, and delegating them to specialized agents. We will create agents such as the Solutions Architect, Backend Developer, and more, each with unique roles to enhance Gippity's capabilities.

Finally, we will put Gippity to the test. We will perform comprehensive evaluations, including human reviews, to ensure the accuracy and reliability of the code it generates. We will explore overcoming limitations and discuss the next steps for our AutoGPT project, leaving you with a clear roadmap to continue your AI and Rust journey.

By the end of this course, you will be a proficient Rust programmer with an in-depth understanding of AI integration.</p>
        <h2>What You Will Learn</h2><p>Build a fully functional web server using Actix Web framework in Rust<br>Create an AutoGPT agent 'Auto-Gippity' to generate, test, and optimize code<br>Implement AI functions for precise responses from large-language-models<br>Understand Rust's memory management and performance advantages<br>Explore the creation of specialized AutoGPT agents for various tasks<br>Master unit testing, error handling, and lifetimes in Rust</p>
        <h2>Audience</h2><p>This course is designed for intermediate programmers looking to enhance their programming skills and venture into the world of Rust and AI-driven code generation. If you have a passion for cutting-edge technologies and a desire to build powerful automation tools, this course is for you.<br><br>To make the most of this course, you should have a basic understanding of programming concepts and be able to program in another language. Familiarity with concepts such as for loops, if statements, and functions is essential, as we will dive straight into Rust programming. Additionally, access to the OpenAI GPT-4 API is required.</p>
        <h2>Approach</h2><p>This course adopts a hands-on and project-based learning approach. You will dive into the world of Rust programming from scratch, progressively advancing to intermediate and advanced levels. Through practical implementations, you will integrate GPT-4 (ChatGPT) to build your AutoGPT agent 'Auto-Gippity', empowering you to create, test, and optimize AI-driven code efficiently.</p>
        <h2>Key Features</h2><p>Comprehensive Rust learning journey from beginner to advanced levels * Hands-on project building with Actix Web framework for web servers * Integration of GPT-4 for AI-driven code generation and optimization</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Craft-an-AutoGPT-Code-Generation-AI-Instrument-Leveraging-Rust-and-GPT-4</p>
        <h2>About the Author</h2><h3>XCHAIN ANALYTICS LTD</h3><p>XCHAIN ANALYTICS LTD is a leading analyst and full-stack developer with expertise in Python and React. Their passion lies in discovering and promoting innovative ideas that are often overlooked in the hype-driven tech industry. With a focus on authenticity and practicality, XCHAIN ANALYTICS strives to share their knowledge and empower others through teaching. They believe in the power of continuous learning and experimentation and often find themselves exploring new ventures. However, they always return to teaching as their true calling, where they can put their ideas into action and help others effectively.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Rust Crash Course - Learning the Rust Environment</h4><p></p><br><h4>3. Rust Crash Course - Types and Memory Management</h4><p></p><br><h4>4. Rust Crash Course - Basics</h4><p></p><br><h4>5. Rust Crash Course - Intermediate</h4><p></p><br><h4>6. Rust Crash Course - Advanced</h4><p></p><br><h4>7. Build Web Server Template - First Project</h4><p></p><br><h4>8. Auto GPT Project - Supporting Functions</h4><p></p><br><h4>9. Auto GPT Project - Create Agents</h4><p></p><br><h4>10. Auto GPT Project - Finalise Agent Gippity</h4><p></p>

This comprehensive course delves into the realm of cutting-edge technology, guiding you from Rust basics to mastery. Discover the potential of GPT-4 as you build 'Auto-Gippity', an AI code wizard. Harness Rust's speed and safety, and revolutionize coding with blazing-fast, memory-safe automation for next-gen software engineering!
In this course, we will embark on an exciting journey to master Rust programming from zero to hero, while leveraging the cutting-edge GPT-4 (ChatGPT) to build our very own AutoGPT agent, named 'Auto-Gippity'. Starting with a Rust crash course, you will learn the language inside out, progressing from basic concepts to intermediate and advanced topics. We will explore Rust installation, creating projects, functions, and more. This strong Rust foundation will set the stage for our AutoGPT project. Next, we will dive into the heart of the course. We will develop a web server template using Actix Web in Rust, integrating AI functions to write, test, and optimize code. Our AutoGPT agent, 'Gippity', will amaze you by accepting tasks, breaking them down, and delegating them to specialized agents. We will create agents such as the Solutions Architect, Backend Developer, and more, each with unique roles to enhance Gippity's capabilities. Finally, we will put Gippity to the test. We will perform comprehensive evaluations, including human reviews, to ensure the accuracy and reliability of the code it generates. We will explore overcoming limitations and discuss the next steps for our AutoGPT project, leaving you with a clear roadmap to continue your AI and Rust journey. By the end of this course, you will be a proficient Rust programmer with an in-depth understanding of AI integration.
What You Will Learn
Build a fully functional web server using Actix Web framework in Rust
Create an AutoGPT agent 'Auto-Gippity' to generate, test, and optimize code
Implement AI functions for precise responses from large-language-models
Understand Rust's memory management and performance advantages
Explore the creation of specialized AutoGPT agents for various tasks
Master unit testing, error handling, and lifetimes in Rust
Audience
This course is designed for intermediate programmers looking to enhance their programming skills and venture into the world of Rust and AI-driven code generation. If you have a passion for cutting-edge technologies and a desire to build powerful automation tools, this course is for you.

To make the most of this course, you should have a basic understanding of programming concepts and be able to program in another language. Familiarity with concepts such as for loops, if statements, and functions is essential, as we will dive straight into Rust programming. Additionally, access to the OpenAI GPT-4 API is required.
Approach
This course adopts a hands-on and project-based learning approach. You will dive into the world of Rust programming from scratch, progressively advancing to intermediate and advanced levels. Through practical implementations, you will integrate GPT-4 (ChatGPT) to build your AutoGPT agent 'Auto-Gippity', empowering you to create, test, and optimize AI-driven code efficiently.
Key Features
Comprehensive Rust learning journey from beginner to advanced levels * Hands-on project building with Actix Web framework for web servers * Integration of GPT-4 for AI-driven code generation and optimization
Github Repo
https://github.com/PacktPublishing/Craft-an-AutoGPT-Code-Generation-AI-Instrument-Leveraging-Rust-and-GPT-4
About the Author
XCHAIN ANALYTICS LTD
XCHAIN ANALYTICS LTD is a leading analyst and full-stack developer with expertise in Python and React. Their passion lies in discovering and promoting innovative ideas that are often overlooked in the hype-driven tech industry. With a focus on authenticity and practicality, XCHAIN ANALYTICS strives to share their knowledge and empower others through teaching. They believe in the power of continuous learning and experimentation and often find themselves exploring new ventures. However, they always return to teaching as their true calling, where they can put their ideas into action and help others effectively.
Course Outline
1. Introduction

2. Rust Crash Course - Learning the Rust Environment

3. Rust Crash Course - Types and Memory Management

4. Rust Crash Course - Basics

5. Rust Crash Course - Intermediate

6. Rust Crash Course - Advanced

7. Build Web Server Template - First Project

8. Auto GPT Project - Supporting Functions

9. Auto GPT Project - Create Agents

10. Auto GPT Project - Finalise Agent Gippity


Rust

Programming

ChatGPT

This comprehensive course delves into the realm of cutting-edge technology, guiding you from Rust basics to mastery. Discover the potential of GPT-4 as you build 'Auto-Gippity', an AI code wizard. Harness Rust's speed and safety, and revolutionize coding with blazing-fast, memory-safe automation for next-gen software engineering!

Craft an AutoGPT Code Generation AI Instrument Leveraging Rust and GPT-4

Take your REST APIs to a whole new level with this advanced Flask and Python course!
This Advanced REST API course takes your REST API development to a whole new level by familiarizing you with more of the Flask ecosystem. We start with a simple REST API and teach you everything you need to know about it. We introduce new features and technologies by baking them into this application so you can see how a professional REST API is developed. Every new feature is added to a fully working application and tested. We also help you understand more about how to build features incrementally so you can get them to your users quickly and minimize risk.
Remember, this is our most advanced course yet! You should have adequate programming experience with Python or another programming language. Some knowledge of how the web works will also be helpful.
You should have prior knowledge of how to install Python packages and how to run your Python applications. If you've used virtualenv or Pipenv before, that's excellent! Knowledge of how to use PyCharm for debugging is also a plus, although we cover using the debugger in the course!
The codes and supporting files for this course are available at: https://github.com/PacktPublishing/Advanced-REST-APIs-with-Flask-and-Python

What You Will Learn
Use Marshmallow for data serialization and deserialization
Send e-mails and user confirmations
Upload images, Database migrations
Easy ways to write documentation and test your API
Handle payments using Stripe
Third-party login using OAuth
Master software development, refactoring, debugging, and more!
Use the latest technologies and best practices. 
Audience
This course is designed for software developers who want to add advanced functionality to REST APIs, backend developers interested in gaining knowledge of Flask and its ecosystem, and advanced developers of other programming languages who want to get up-to-speed quickly with advanced REST API development in Python
Approach
An exhaustive course packed with step-by-step instructions, working examples, and helpful advice. This course is divided into clear chunks so you can learn at your own pace and focus on your own area of interest
Key Features
Integrate advanced functionality (such as image uploading, payments, or user confirmation e-mails) in your API * Improve operations in existing REST APIs with database migrations and extensive refactoring knowledge * Take your REST API development to a whole new level by getting familiar with more of the Flask ecosystem
Github Repo
https://github.com/packtpublishing/advanced-rest-apis-with-flask-and-python
About the Author
Jose Salvatierra Fuentes
Jose Salvatierra has been teaching online for over seven years, and he loves helping students learn to code and master software development. He founded Teclado to bring software development to everyone; his objective is for you to truly understand everything that goes on behind the scenes. Coding is extremely rewarding. As you learn, things start to click and make sense. You can join the dots of all the things that weren't quite clear before. Jose can help you with Python and JavaScript issues, particularly in web and backend development. He is experienced with programming libraries and frameworks such as Flask, React, React Native, and AngularJS. He has worked extensively with UNIX systems, MongoDB, PostgreSQL, and advanced system architecture design.
Course Outline
1. Introduction

1. Introduction to this section
Introduction: Introduction to this section
2. Our project and endpoints
Introduction: Our project and endpoints
3. Reviewing the beginner course code
Introduction: Reviewing the beginner course code
4. Simplifying our error handling
Introduction: Simplifying our error handling
5. Refactoring our resources
Introduction: Refactoring our resources
6. Should we have unique names?
Introduction: Should we have unique names?
7. Adding basic type hinting
Introduction: Adding basic type hinting
8. Adding custom JSON types
Introduction: Adding custom JSON types
9. Using the current class as a type hint
Introduction: Using the current class as a type hint
10. Using Black for code formatting
Introduction: Using Black for code formatting
11. Improving errors with constants
Introduction: Improving errors with constants
12. @classmethod across the board
Introduction: @classmethod across the board
13. Testing our API with Postman
Introduction: Testing our API with Postman
14. Conclusion of this section
Introduction: Conclusion of this section
2. Serialization with Marshmallow

1. Introduction to this section
Serialization with Marshmallow: Introduction to this section
2. Serialization with Marshmallow
Serialization with Marshmallow: Serialization with Marshmallow
3. Deserialization with Marshmallow
Serialization with Marshmallow: Deserialization with Marshmallow
4. Migrating from virtualenv to Pipenv
Serialization with Marshmallow: Migrating from virtualenv to Pipenv
5. Using vanilla Marshmallow with the API
Serialization with Marshmallow: Using vanilla Marshmallow with the API
6. Introduction to Flask-Marshmallow
Serialization with Marshmallow: Introduction to Flask-Marshmallow
7. Adding items to our REST API
Serialization with Marshmallow: Adding items to our REST API
8. Adding stores to our REST API
Serialization with Marshmallow: Adding stores to our REST API
9. Deduplicating error handling
Serialization with Marshmallow: Deduplicating error handling
10. Conclusion of this section
Serialization with Marshmallow: Conclusion of this section
3. E-mail confirmations

1. Introduction to this section
E-mail confirmations: Introduction to this section
2. Introduction to e-mail confirmation
E-mail confirmations: Introduction to e-mail confirmation
3. Adding an activated property
E-mail confirmations: Adding an activated property
4. Activating users manually
E-mail confirmations: Activating users manually
5. Telling users, they are active
E-mail confirmations: Telling users, they are active
6. Setting up Mailgun
E-mail confirmations: Setting up Mailgun
7. Sending e-mails with Mailgun (Part 1)
E-mail confirmations: Sending e-mails with Mailgun (Part 1)
8. Sending e-mails with Mailgun (Part 2)
E-mail confirmations: Sending e-mails with Mailgun (Part 2)
9. Creating our Mailgun library file
E-mail confirmations: Creating our Mailgun library file
10. Using .env files in Flask
E-mail confirmations: Using .env files in Flask
11. Adding more configuration to. Env
E-mail confirmations: Adding more configuration to. Env
12. Error handling in Mailgun
E-mail confirmations: Error handling in Mailgun
13. Conclusion of this section
E-mail confirmations: Conclusion of this section
4. Advanced e-mail confirmation

1. Introduction to this section
Advanced e-mail confirmation: Introduction to this section
2. Creating the Confirmation Model
Advanced e-mail confirmation: Creating the Confirmation Model
3. Changes in our User Model
Advanced e-mail confirmation: Changes in our User Model
4. Creating our Confirmation Resource
Advanced e-mail confirmation: Creating our Confirmation Resource
5. Updating our User Resource
Advanced e-mail confirmation: Updating our User Resource
6. Adding the last confirmation to the user schema
Advanced e-mail confirmation: Adding the last confirmation to the user schema
7. Fixing our app.py
Advanced e-mail confirmation: Fixing our app.py
8. Cross-resource dependencies are (generally) bad
Advanced e-mail confirmation: Cross-resource dependencies are (generally) bad
9. What are localisation and internationalisation?
Advanced e-mail confirmation: What are localisation and internationalisation?
10. Storing strings in config files
Advanced e-mail confirmation: Storing strings in config files
11. Creating a simple translation library
Advanced e-mail confirmation: Creating a simple translation library
12. Updating our resources to use translations
Advanced e-mail confirmation: Updating our resources to use translations
13. Adding a new language to our API
Advanced e-mail confirmation: Adding a new language to our API
14. What is Flask-Babel?
Advanced e-mail confirmation: What is Flask-Babel?
15. Common pitfalls and advice
Advanced e-mail confirmation: Common pitfalls and advice
16. Conclusion of this section
Advanced e-mail confirmation: Conclusion of this section
5. Postman documentation and tests

1. Introduction to this section
Postman documentation and tests: Introduction to this section
2. Collection and request descriptions
Postman documentation and tests: Collection and request descriptions
3. Recap of Postman environments
Postman documentation and tests: Recap of Postman environments
4. JavaScript tests in Postman
Postman documentation and tests: JavaScript tests in Postman
5. Running entire collections in Postman
Postman documentation and tests: Running entire collections in Postman
6. Adding example requests and responses
Postman documentation and tests: Adding example requests and responses
7. Previewing our Postman documentation
Postman documentation and tests: Previewing our Postman documentation
8. Publishing our documentation page
Postman documentation and tests: Publishing our documentation page
9. More options for publishing documentation
Postman documentation and tests: More options for publishing documentation
10. Conclusion of this section
Postman documentation and tests: Conclusion of this section
6. Image uploads

1. Introduction to this section
Image uploads: Introduction to this section
2. Installing Flask-Uploads
Image uploads: Installing Flask-Uploads
3. Config files in Flask
Image uploads: Config files in Flask
4. What are wsgi and Werkzeug?
Image uploads: What are wsgi and Werkzeug?
5. Creating our image helper library
Image uploads: Creating our image helper library
6. Creating our image schema
Image uploads: Creating our image schema
7. Creating our image upload resource
Image uploads: Creating our image upload resource
8. Trying out our image upload
Image uploads: Trying out our image upload
9. Retrieving and deleting images
Image uploads: Retrieving and deleting images
10. Another example: user avatars
Image uploads: Another example: user avatars
11. Adding the avatar resource
Image uploads: Adding the avatar resource
12. Conclusion of this section
Image uploads: Conclusion of this section
7. Database migrations

1. Introduction to this section
Database migrations: Introduction to this section
2. What's in our starter code?
Database migrations: What's in our starter code?
3. Connecting to our remote database
Database migrations: Connecting to our remote database
4. Initialising Flask-Migrate and Alembic
Database migrations: Initialising Flask-Migrate and Alembic
5. Creating our initial table structure
Database migrations: Creating our initial table structure
6. Our first database migration
Database migrations: Our first database migration
7. Checking the Alembic script (important!)
Database migrations: Checking the Alembic script (important!)
8. Adding a new column with migrations
Database migrations: Adding a new column with migrations
9. Problems that can happen while migrating
Database migrations: Problems that can happen while migrating
10. A word of caution!
Database migrations: A word of caution!
11. Defining a SQLAlchemy naming convention
Database migrations: Defining a SQLAlchemy naming convention
12. When should you read documentation?
Database migrations: When should you read documentation?
13. Conclusion of this section
Database migrations: Conclusion of this section
8. Third party login with OAuth

1. Introduction to this lecture
Third party login with OAuth: Introduction to this lecture
2. Introduction to OAuth 2.0
Third party login with OAuth: Introduction to OAuth 2.0
3. What's in our starter code?
Third party login with OAuth: What's in our starter code?
4. Creating a GitHub OAuth App
Third party login with OAuth: Creating a GitHub OAuth App
5. Flask-OAuthlib
Third party login with OAuth: Flask-OAuthlib
6. Setting up our GitHub client
Third party login with OAuth: Setting up our GitHub client
7. Our GithubLogin resource
Third party login with OAuth: Our GithubLogin resource
8. What is Flask's g?
Third party login with OAuth: What is Flask's g?
9. What is a tokengetter?
Third party login with OAuth: What is a tokengetter?
10. Finishing our GithubAuthorize resource
Third party login with OAuth: Finishing our GithubAuthorize resource
11. Adding some error handling
Third party login with OAuth: Adding some error handling
12. Setting user passwords
Third party login with OAuth: Setting user passwords
13. Using url_for with Flask-RESTful
Third party login with OAuth: Using url_for with Flask-RESTful
14. Conclusion of this section
Third party login with OAuth: Conclusion of this section
9. Payments with Stripe

1. Introduction to this section
Payments with Stripe: Introduction to this section
2. Setting up our Stripe account
Payments with Stripe: Setting up our Stripe account
3. What's in our starter code?
Payments with Stripe: What's in our starter code?
4. Where do users pay?
Payments with Stripe: Where do users pay?
5. After payment: receiving order data
Payments with Stripe: After payment: receiving order data
6. Creating our OrderModel
Payments with Stripe: Creating our OrderModel
7. Many-to-many relationships with SQLAlchemy
Payments with Stripe: Many-to-many relationships with SQLAlchemy
8. Using the Association Object in our Resource
Payments with Stripe: Using the Association Object in our Resource
9. Charging orders with Stripe
Payments with Stripe: Charging orders with Stripe
10. Calculating the amount and description
Payments with Stripe: Calculating the amount and description
11. Testing our OrderResource
Payments with Stripe: Testing our OrderResource
12. Creating a way to view existing orders
Payments with Stripe: Creating a way to view existing orders
13. When things go wrong: error handling in Stripe
Payments with Stripe: When things go wrong: error handling in Stripe
14. Security considerations in payments
Payments with Stripe: Security considerations in payments
15. Conclusion of this section
Payments with Stripe: Conclusion of this section
10. Bonus section

1. Conclusion of the course
Bonus section: Conclusion of the course

Stripe

Flask

Take your REST APIs to a whole new level with this advanced Flask and Python course!

Advanced REST APIs with Flask and Python

<strong>This comprehensive course will help you learn the basics to advanced mechanisms of chatbot development using deep learning with Python. This course is a complete package for beginners to learn chatbot fundamentals with deep learning and its applications and build it from scratch using deep learning (RNNs) with Python.</strong>
        <p>AI-powered chatbots are also capable of automating various tasks, including sales and marketing, customer service, and administrative and operational tasks. In this course about developing advanced chatbots with deep learning, we will understand their applications and build from scratch using deep learning with Python.

The course begins with a brief overview and the fundamentals of deep learning for chatbots. We will understand and compare conventional chatbots with deep learning-based chatbots. Then, we will explore self-learning chatbots, including generative chatbots and retrieval chatbots. You will learn more about deep learning-empowered chatbot features and compare and distinguish the abilities of conventional chatbots and self-learning chatbots in real action. We will focus on chatbot development with deep learning, tokenization, setting up an Encoder-Decoder, implementing RNN-based model development, and finally, training, testing, and validating the chatbot we developed.

Upon completing this course successfully, you will relate concepts and understand theories of chatbots in various domains, understand and implement deep learning models for building real-world chatbots, and evaluate deep learning-based chatbot models.

All resources are available at: https://github.com/PacktPublishing/Advanced-Chatbots-with-Deep-Learning-Python</p>
        <h2>What You Will Learn</h2><p>Relate the concepts and theories for chatbots in various domains<br>Compare conventional chatbots with deep learning-based chatbots<br>Understand deep learning algorithms for chatbots<br>Implement deep learning models for building real-world chatbots<br>Learn about tokenization and setting up an encoder-decoder<br>Implement recurrent neural network-based model development</p>
        <h2>Audience</h2><p>This course is designed for individuals looking to advance their skills in applied deep learning, acquire knowledge regarding the relationships of data analysis with deep learning, wish to build customized chatbots for their applications, learn to implement deep learning algorithms for chatbots, and are passionate about rule-based and self-learning chatbots. Deep learning practitioners/scholars working on chatbot concepts would benefit from this course. No prior knowledge of chatbots, deep learning, data analysis, or mathematics is needed. Basic to intermediate Python knowledge is required.</p>
        <h2>Approach</h2><p>The course is crafted to help you understand the impact of chatbots in real-world applications and provides a unique hands-on experience using a project. This course is easily understandable, with engaging content covering necessary theoretical concepts, a practical approach with live coding, and an in-depth project covering the complete course content.</p>
        <h2>Key Features</h2><p>Learn basic to advanced mechanisms of developing chatbots using deep learning with Python * Use Python to evaluate datasets based on conversational notes, online resources, and websites * Explore conventional/self-learning chatbots in action and chatbot development with deep learning</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Advanced-Chatbots-with-Deep-Learning-Python </p>
        <h2>About the Author</h2><h3>AI Sciences</h3><p>AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.

AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences.

Their courses have successfully helped more than 100,000 students master AI and data science.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p>This section focuses on introducing the author and the AI Sciences group and describes the course content you will be learning.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course and Instructor Introduction</p><p style='margin: 0'>In this video, we will be introduced to the course's author and his qualifications and experience in teaching learners on the online platform.</p></td></tr><tr><td style='padding: 15px;'><p>2. AI Sciences Introduction</p><p style='margin: 0'>This video briefly introduces the AI Sciences group and discusses the benefits of learning through AI Sciences.</p></td></tr><tr><td style='padding: 15px;'><p>3. Course Description</p><p style='margin: 0'>In this lesson, we will get an overview of what is covered in the course, including a comparison of chatbots and the benefits of chatbots. We will look at the chatbots in action. We will also look at deep learning frameworks in chatbots.</p></td></tr></tbody></table><br><h4>2. Fundamentals of Chatbots for Deep Learning</h4><p>This section focuses on the basics of chatbots, how deep learning benefits chatbots, conventional versus AI chatbots, the use of chatbots in the medical field, and the use of chatbots in business and ecommerce.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Module Introduction</p><p style='margin: 0'>This introduction video elaborates on the concepts to be covered in this module, including comparing chatbots, the conventional versus AI chatbots, and use of chatbots in various fields of applications.</p></td></tr><tr><td style='padding: 15px;'><p>2. Conventional Versus AI Chatbots</p><p style='margin: 0'>In this video, we will understand conventional and artificial intelligence-based chatbots and understand the differences between the two kinds.</p></td></tr><tr><td style='padding: 15px;'><p>3. Generative Versus Retrieval Chatbots</p><p style='margin: 0'>In this lecture, you will learn about a generative and retrieval chatbot and compare the differences between the two chatbots.</p></td></tr><tr><td style='padding: 15px;'><p>4. Benefits of Deep Learning Chatbots</p><p style='margin: 0'>In this video, we will look at what deep learning chatbots are and how they work. We will also understand the benefits of deep learning chatbots, including improved customer experience, service integration, customer care, personalized services, and saving resources.</p></td></tr><tr><td style='padding: 15px;'><p>5. Chatbots in Medical Domain</p><p style='margin: 0'>We will explore the first kind of chatbot operating in the medical domain. We will look at the benefits, including the ability to schedule appointments, check patient symptoms, provide support, help with coverage and insurance claims, and improve the patient experience.</p></td></tr><tr><td style='padding: 15px;'><p>6. Chatbots in Business</p><p style='margin: 0'>In this video, we will understand the benefits of chatbots in businesses, including lead qualification, lead nurturing, and data mining techniques.</p></td></tr><tr><td style='padding: 15px;'><p>7. Chatbots in Ecommerce</p><p style='margin: 0'>Let's understand the benefits of chatbots in ecommerce, including personalized services, real-time interaction, collection of feedback, provide metrics, lead generation, deep analytics, and storytelling.</p></td></tr></tbody></table><br><h4>3. Deep Learning-Based Chatbot Architecture and Development</h4><p>This section focuses on chatbot architecture and development based on deep learning, including understanding deep learning architecture, encoders and decoders, data preparation, importing libraries, and making predictions.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Module Introduction</p><p style='margin: 0'>In this video, you will learn more about deep learning and the general architecture, chatbot development with deep learning, and its related concepts.</p></td></tr><tr><td style='padding: 15px;'><p>2. Deep Learning Architecture</p><p style='margin: 0'>This video elaborates on the deep learning architecture in chatbots, integration of deep learning with chatbots, natural language processing (NLP), source content, interaction history, and analytics.</p></td></tr><tr><td style='padding: 15px;'><p>3. Encoder Decoder</p><p style='margin: 0'>In this video, we will understand what encoder and decoder are, their architecture, and long short-term memory (LSTM), a neural network used in deep learning.</p></td></tr><tr><td style='padding: 15px;'><p>4. Steps Involved</p><p style='margin: 0'>In this lesson, you will learn about the various steps involved in developing chatbots based on deep learning techniques. We will install the required packages, define chat models and tokenization, and set up the encoder-decoder model.</p></td></tr><tr><td style='padding: 15px;'><p>5. Project Overview and Packages</p><p style='margin: 0'>After theoretically learning about chatbots, we will now develop a chatbot practically by importing the requisite libraries-TensorFlow NumPy, Keras, and Pickle. We will build a chatbot based on a story and make predictions of true or false.</p></td></tr><tr><td style='padding: 15px;'><p>6. Importing Libraries</p><p style='margin: 0'>This video demonstrates how to import step by step the four main libraries required for our project, including TensorFlow, NumPy, Keras, and Pickle, and you will learn about importing Sequential and Model.</p></td></tr><tr><td style='padding: 15px;'><p>7. Data Preparation</p><p style='margin: 0'>We will use the two datasets available for our project, the training QA and the testing QA. We will save them in our project folder and invoke them as needed.</p></td></tr><tr><td style='padding: 15px;'><p>8. Develop Vocabulary</p><p style='margin: 0'>In this video, you will learn to combine the datasets, test data, and train data; we will use the all_data function to combine the datasets.</p></td></tr><tr><td style='padding: 15px;'><p>9. Max Story and Question Length</p><p style='margin: 0'>In this video, you will learn to define the project's story length and question length, determined by the number of words in the story or question.</p></td></tr><tr><td style='padding: 15px;'><p>10. Tokenizer</p><p style='margin: 0'>You will learn to import the tokenizer with and without filters. We will fit the tokenizer into our vocabulary using the fit_on_texts built-in command.</p></td></tr><tr><td style='padding: 15px;'><p>11. Separation and Sequence</p><p style='margin: 0'>In this video, you will learn to make the train-test story questions and answers. We will then use a for loop to enter the story, question, and answer into the respective parts.</p></td></tr><tr><td style='padding: 15px;'><p>12. Vectorize Stories</p><p style='margin: 0'>In this video, we will understand how to vectorize the story by defining functions, using the data, and developing an index and tokenizer. We will also determine the maximum story length calculated.</p></td></tr><tr><td style='padding: 15px;'><p>13. Vectorizing Train and Test Data</p><p style='margin: 0'>After creating the vectorization function, we will input the stories, queries, and answers using the vectorize function that we created using the train data.</p></td></tr><tr><td style='padding: 15px;'><p>14. Encoding</p><p style='margin: 0'>We will begin to develop our deep learning model and input placeholders to store the maximum story length, question length, and define the vocabulary size. We will now build our encoder using the sequential model.</p></td></tr><tr><td style='padding: 15px;'><p>15. Answer and Response</p><p style='margin: 0'>After learning to create our encoders for the input sequences and the questions, the encoders will match the data and obtain the responses.</p></td></tr><tr><td style='padding: 15px;'><p>16. Model Completion</p><p style='margin: 0'>In this video, after training and testing the data, querying the questions, and obtaining responses, we are now at model completion with compiling the questions and responses to check for accuracy.</p></td></tr><tr><td style='padding: 15px;'><p>17. Predictions</p><p style='margin: 0'>After checking our model for accuracy, we will make predictions of our results from the model we created. We will visualize the predictions using the test data.</p></td></tr></tbody></table>

This comprehensive course will help you learn the basics to advanced mechanisms of chatbot development using deep learning with Python. This course is a complete package for beginners to learn chatbot fundamentals with deep learning and its applications and build it from scratch using deep learning (RNNs) with Python.
AI-powered chatbots are also capable of automating various tasks, including sales and marketing, customer service, and administrative and operational tasks. In this course about developing advanced chatbots with deep learning, we will understand their applications and build from scratch using deep learning with Python. The course begins with a brief overview and the fundamentals of deep learning for chatbots. We will understand and compare conventional chatbots with deep learning-based chatbots. Then, we will explore self-learning chatbots, including generative chatbots and retrieval chatbots. You will learn more about deep learning-empowered chatbot features and compare and distinguish the abilities of conventional chatbots and self-learning chatbots in real action. We will focus on chatbot development with deep learning, tokenization, setting up an Encoder-Decoder, implementing RNN-based model development, and finally, training, testing, and validating the chatbot we developed. Upon completing this course successfully, you will relate concepts and understand theories of chatbots in various domains, understand and implement deep learning models for building real-world chatbots, and evaluate deep learning-based chatbot models. All resources are available at: https://github.com/PacktPublishing/Advanced-Chatbots-with-Deep-Learning-Python
What You Will Learn
Relate the concepts and theories for chatbots in various domains
Compare conventional chatbots with deep learning-based chatbots
Understand deep learning algorithms for chatbots
Implement deep learning models for building real-world chatbots
Learn about tokenization and setting up an encoder-decoder
Implement recurrent neural network-based model development
Audience
This course is designed for individuals looking to advance their skills in applied deep learning, acquire knowledge regarding the relationships of data analysis with deep learning, wish to build customized chatbots for their applications, learn to implement deep learning algorithms for chatbots, and are passionate about rule-based and self-learning chatbots. Deep learning practitioners/scholars working on chatbot concepts would benefit from this course. No prior knowledge of chatbots, deep learning, data analysis, or mathematics is needed. Basic to intermediate Python knowledge is required.
Approach
The course is crafted to help you understand the impact of chatbots in real-world applications and provides a unique hands-on experience using a project. This course is easily understandable, with engaging content covering necessary theoretical concepts, a practical approach with live coding, and an in-depth project covering the complete course content.
Key Features
Learn basic to advanced mechanisms of developing chatbots using deep learning with Python * Use Python to evaluate datasets based on conversational notes, online resources, and websites * Explore conventional/self-learning chatbots in action and chatbot development with deep learning
Github Repo
https://github.com/PacktPublishing/Advanced-Chatbots-with-Deep-Learning-Python 
About the Author
AI Sciences
AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences. Their courses have successfully helped more than 100,000 students master AI and data science.
Course Outline
1. Introduction
This section focuses on introducing the author and the AI Sciences group and describes the course content you will be learning.
1. Course and Instructor Introduction
In this video, we will be introduced to the course's author and his qualifications and experience in teaching learners on the online platform.
2. AI Sciences Introduction
This video briefly introduces the AI Sciences group and discusses the benefits of learning through AI Sciences.
3. Course Description
In this lesson, we will get an overview of what is covered in the course, including a comparison of chatbots and the benefits of chatbots. We will look at the chatbots in action. We will also look at deep learning frameworks in chatbots.
2. Fundamentals of Chatbots for Deep Learning
This section focuses on the basics of chatbots, how deep learning benefits chatbots, conventional versus AI chatbots, the use of chatbots in the medical field, and the use of chatbots in business and ecommerce.
1. Module Introduction
This introduction video elaborates on the concepts to be covered in this module, including comparing chatbots, the conventional versus AI chatbots, and use of chatbots in various fields of applications.
2. Conventional Versus AI Chatbots
In this video, we will understand conventional and artificial intelligence-based chatbots and understand the differences between the two kinds.
3. Generative Versus Retrieval Chatbots
In this lecture, you will learn about a generative and retrieval chatbot and compare the differences between the two chatbots.
4. Benefits of Deep Learning Chatbots
In this video, we will look at what deep learning chatbots are and how they work. We will also understand the benefits of deep learning chatbots, including improved customer experience, service integration, customer care, personalized services, and saving resources.
5. Chatbots in Medical Domain
We will explore the first kind of chatbot operating in the medical domain. We will look at the benefits, including the ability to schedule appointments, check patient symptoms, provide support, help with coverage and insurance claims, and improve the patient experience.
6. Chatbots in Business
In this video, we will understand the benefits of chatbots in businesses, including lead qualification, lead nurturing, and data mining techniques.
7. Chatbots in Ecommerce
Let's understand the benefits of chatbots in ecommerce, including personalized services, real-time interaction, collection of feedback, provide metrics, lead generation, deep analytics, and storytelling.
3. Deep Learning-Based Chatbot Architecture and Development
This section focuses on chatbot architecture and development based on deep learning, including understanding deep learning architecture, encoders and decoders, data preparation, importing libraries, and making predictions.
1. Module Introduction
In this video, you will learn more about deep learning and the general architecture, chatbot development with deep learning, and its related concepts.
2. Deep Learning Architecture
This video elaborates on the deep learning architecture in chatbots, integration of deep learning with chatbots, natural language processing (NLP), source content, interaction history, and analytics.
3. Encoder Decoder
In this video, we will understand what encoder and decoder are, their architecture, and long short-term memory (LSTM), a neural network used in deep learning.
4. Steps Involved
In this lesson, you will learn about the various steps involved in developing chatbots based on deep learning techniques. We will install the required packages, define chat models and tokenization, and set up the encoder-decoder model.
5. Project Overview and Packages
After theoretically learning about chatbots, we will now develop a chatbot practically by importing the requisite libraries-TensorFlow NumPy, Keras, and Pickle. We will build a chatbot based on a story and make predictions of true or false.
6. Importing Libraries
This video demonstrates how to import step by step the four main libraries required for our project, including TensorFlow, NumPy, Keras, and Pickle, and you will learn about importing Sequential and Model.
7. Data Preparation
We will use the two datasets available for our project, the training QA and the testing QA. We will save them in our project folder and invoke them as needed.
8. Develop Vocabulary
In this video, you will learn to combine the datasets, test data, and train data; we will use the all_data function to combine the datasets.
9. Max Story and Question Length
In this video, you will learn to define the project's story length and question length, determined by the number of words in the story or question.
10. Tokenizer
You will learn to import the tokenizer with and without filters. We will fit the tokenizer into our vocabulary using the fit_on_texts built-in command.
11. Separation and Sequence
In this video, you will learn to make the train-test story questions and answers. We will then use a for loop to enter the story, question, and answer into the respective parts.
12. Vectorize Stories
In this video, we will understand how to vectorize the story by defining functions, using the data, and developing an index and tokenizer. We will also determine the maximum story length calculated.
13. Vectorizing Train and Test Data
After creating the vectorization function, we will input the stories, queries, and answers using the vectorize function that we created using the train data.
14. Encoding
We will begin to develop our deep learning model and input placeholders to store the maximum story length, question length, and define the vocabulary size. We will now build our encoder using the sequential model.
15. Answer and Response
After learning to create our encoders for the input sequences and the questions, the encoders will match the data and obtain the responses.
16. Model Completion
In this video, after training and testing the data, querying the questions, and obtaining responses, we are now at model completion with compiling the questions and responses to check for accuracy.
17. Predictions
After checking our model for accuracy, we will make predictions of our results from the model we created. We will visualize the predictions using the test data.

This comprehensive course will help you learn the basics to advanced mechanisms of chatbot development using deep learning with Python. This course is a complete package for beginners to learn chatbot fundamentals with deep learning and its applications and build it from scratch using deep learning (RNNs) with Python.

Advanced Chatbots with Deep Learning and Python

<strong>Do you want to build a simple, reliable, and error-free chatbot for your business? If yes, then this is the course for you! Learn to build a chatbot with Amazon Lex, a fully-controlled AI service with sophisticated natural language models to create, develop, test, and deploy chatbots (conversational interfaces) in applications.</strong>
        <p>Amazon Lex, a fully-controlled AI service, has sophisticated natural language models to create, develop, test, and deploy chatbots (conversational interfaces) in applications. Amazon Web Service (AWS) provides AWS Lambda, a serverless computing service without provisioning or managing servers.

The course begins with an exhaustive overview of the fundamentals of AWS for chatbots, training chatbot development with deep learning.

Afterward, we will delve into the characteristics of AWS and its notable functionalities. Following this, we will embark on constructing a chatbot for hotel booking utilizing Amazon Lex. Subsequently, we will acquire the skills to establish an AWS Lambda function and establish its connection with Amazon Lex. Then, we will cover the concepts of chatbot backend development for AWS Lex and AWS Lambda. We will further advance to integrate the chatbot with Twilio and learn to use the AWS Software Development Kit. Website integration of AWS Lex chatbot and implementing response cards with chatbots is the final concept that we will explore in the course.

Upon completing this course, you will relate concepts and theories for chatbots in various domains, gain extensive understanding, and learn to implement AWS Lex and AWS Lambda for building real-world chatbots. You will independently build customized chatbots with AWS Lex and AWS Lambda and integrate your chatbots with WhatsApp, messaging apps, and websites.

All resources are available at: https://github.com/PacktPublishing/-Chatbots-Development-with-Amazon-Lex</p>
        <h2>What You Will Learn</h2><p>Learn the fundamentals of Amazon Web Services (AWS)<br>Gain hands-on chatbot development with Amazon Lex and Amazon Lambda<br>Explore web-based Amazon Web Services chatbot development<br>Run code on AWS Lambda without provisioning or managing servers<br>Learn practical usage of Twilio and its integration with AWS for chatbots<br>Explore the functionality of Amazon Lex for chatbot development</p>
        <h2>Audience</h2><p>This course is tailored for individuals interested in AWS and applying AWS Lex and AWS Lambda for chatbot development. This course will benefit individuals interested in building customized chatbots for their applications-AI practitioners, chatbot developers, research scholars, data scientists, and so on.</p>
        <h2>Approach</h2><p>The course is created as online tutorials that promote learning by doing. You get comprehensive knowledge via building and testing the implementation of projects in real-world applications. Simple, jargon-free explanations ensure that you understand the concepts clearly. The course provides a sound understanding of the basics before proceeding to more complex concepts.</p>
        <h2>Key Features</h2><p>Learn AWS Lex and Lambda basics and applications of chatbots and build them with hands-on practice * Develop chatbots with AWS Lex and AWS Lambda and test and implement chatbots in real-world apps * Learn essential chatbot integration with Twilio and Boto-3, and integrate websites with the chatbots</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/-Chatbots-Development-with-Amazon-Lex</p>
        <h2>About the Author</h2><h3>AI Sciences</h3><p>AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.

AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences.

Their courses have successfully helped more than 100,000 students master AI and data science.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p>This section focuses on the course introduction and provides a quick overview of the instructor/author of the course, the AI Sciences group and how they deliver courses, and a general course description.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Introduction</p><p style='margin: 0'>The instructor provides a general overview of what you will learn from this course-chatbot development with Amazon Lex. We will also discuss Amazon Lambda and different methodologies for chatbot building.</p></td></tr><tr><td style='padding: 15px;'><p>2. Instructor Introduction</p><p style='margin: 0'>In this video, we will quickly know the instructor/author of the course and look at his qualifications and experience in delivering the course in this online mode.</p></td></tr><tr><td style='padding: 15px;'><p>3. AI Sciences Introduction</p><p style='margin: 0'>This video briefly outlines AI Sciences, how they deliver courses online, their ratings and presence, and the topics they provide courses on.</p></td></tr><tr><td style='padding: 15px;'><p>4. Course Description</p><p style='margin: 0'>This video discusses the concepts to be covered in this course, including Amazon Web Services, Amazon Lex bot, Amazon Twilio, website integration, response cards, and more.</p></td></tr></tbody></table><br><h4>2. Fundamentals of AWS for Chatbots</h4><p>This section focuses on chatbot development with Amazon Lex, including the services offered, the salient features of Lex, the benefits of using Amazon Lex, and the architecture.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Module Overview</p><p style='margin: 0'>In this video, we will discuss the concepts covered in this module, including Amazon Web Services, the web services that Amazon provides, how we can use these services, and the benefits of AWS, apart from the salient features of AWS.</p></td></tr><tr><td style='padding: 15px;'><p>2. Overview of AWS</p><p style='margin: 0'>In this lecture, we will look at Amazon Web Services, which is the most comprehensive and widely adopted web service. We will also discuss its functionality, Amazon Community, security, innovation pace, operational expertise, and more.</p></td></tr><tr><td style='padding: 15px;'><p>3. Services of AWS</p><p style='margin: 0'>This video outlines the various services provided by AWS, including more than 200 services, AWS Compute, AWS Storage, AWS Database, AWS Migration, API Gateway, cloud management services, WAF and shield, elastic transcoder, and more.</p></td></tr><tr><td style='padding: 15px;'><p>4. Salient Features of AWS</p><p style='margin: 0'>Let's understand the salient features of AWS, including pricing, flexibility, and scalability, global architecture, PaaS services, reliability, scheduling, customization, and security.</p></td></tr><tr><td style='padding: 15px;'><p>5. Lex Bot Overview</p><p style='margin: 0'>In this video, we will look at the Amazon Lex bot. Here, we will briefly overview its architecture, define the chat experience and the processes involved, and deploy the chatbot.</p></td></tr><tr><td style='padding: 15px;'><p>6. Benefits of Amazon Lex</p><p style='margin: 0'>Here, we will discuss the benefits of using Lex bot, including seamless deployment and scaling, built-in integration with AWS, input technologies, cost-effectiveness, and simplicity.</p></td></tr><tr><td style='padding: 15px;'><p>7. Framework of Lex</p><p style='margin: 0'>In this lecture, we will discuss the framework of Amazon Lex and how it functions. We will look at the operation cycle of the Amazon chatbot.</p></td></tr></tbody></table><br><h4>3. Chatbot Development with AWS Lex and AWS Lambda</h4><p>This section focuses on chatbot development with Amazon Lex and AWS Lambda. This module is regarding hands-on training in chatbot development using Amazon Lex.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Module Overview</p><p style='margin: 0'>This is an introductory video on the concepts to be learned in this module, including chatbot creation steps, AWS Lambda, Twilio, and project creation.</p></td></tr><tr><td style='padding: 15px;'><p>2. Chatbot Steps</p><p style='margin: 0'>This video provides an in-depth outline of the various steps involved in creating a chatbot with Amazon Lex. We will understand how Amazon Lex connects with Amazon Lambda, Twilio software, and Amazon DynamoDB for storage.</p></td></tr><tr><td style='padding: 15px;'><p>3. AWS Lambda Steps</p><p style='margin: 0'>In this lesson, you will learn to connect Amazon Lambda with Amazon Lex. Amazon Lambda helps with the validation and fulfillment of the chatbot. You will learn about the steps involved in performing the connectivity.</p></td></tr><tr><td style='padding: 15px;'><p>4. Twilio and Website</p><p style='margin: 0'>In this video, you will learn about the Twilio application and how it helps Amazon Lex create the chatbot. You will learn to integrate Twilio with Lex. This is the third step for Twilio connectivity and website connectivity.</p></td></tr><tr><td style='padding: 15px;'><p>5. Response Cards</p><p style='margin: 0'>This is the last step in creating an Amazon Lex chatbot, creating and adding response cards, including the card setup, slot upgradation, chatbot building, and demonstration.</p></td></tr><tr><td style='padding: 15px;'><p>6. Start Developing Chatbot</p><p style='margin: 0'>This video demonstrates the process of creating the Amazon Lex chatbot step by step. You will learn to create your ID on Amazon.com and log in. We will get to the interface and start working from there.</p></td></tr><tr><td style='padding: 15px;'><p>7. Intent Utterance and Slot</p><p style='margin: 0'>In this video, we will discuss intent in depth, which are utterances the user asks, and reveal the user's intent. We will also understand about a slot, which is information that Amazon Lex requires to fulfill an intent.</p></td></tr><tr><td style='padding: 15px;'><p>8. Making Utterances</p><p style='margin: 0'>After understanding intents and slots in detail, we will make utterances in our chatbots. We will begin with creating intent and then create an utterance using the sample utterances tab.</p></td></tr><tr><td style='padding: 15px;'><p>9. Generic Utterance with Slots</p><p style='margin: 0'>This is the continuation of the lesson from the previous video, where we learned how to create a new intent and then create sample utterances. We will look at completing the information required for the chatbot to understand the intent and create the slot.</p></td></tr><tr><td style='padding: 15px;'><p>10. Adding Custom Slots</p><p style='margin: 0'>This video will teach us to add multiple customized slots to the utterances. We will create prompts, add slot types, create multiple slots, and then save our intent on the chatbot.</p></td></tr><tr><td style='padding: 15px;'><p>11. Build and Test</p><p style='margin: 0'>After creating the intents, we will want to create a few messages as responses to be displayed by the chatbot. You will learn to add acceptance and decline responses to the chatbot.</p></td></tr><tr><td style='padding: 15px;'><p>12. Visual Builder</p><p style='margin: 0'>In this video, we will create a conversational flow, plan the utterances, and make the chatbot accept the queries and responses. We will then use the visual builder to set up the visual perspective of the chatbot.</p></td></tr><tr><td style='padding: 15px;'><p>13. Lambda Introduction</p><p style='margin: 0'>After building and testing the chatbot and creating the visual structure, you will learn to create the backend on Amazon Lambda and connect it with our chatbot for seamless working.</p></td></tr><tr><td style='padding: 15px;'><p>14. Interconnection</p><p style='margin: 0'>This video demonstrates the process of connecting Amazon Lambda to our chatbot. We will create the functions required for our chatbot and author it from scratch.</p></td></tr><tr><td style='padding: 15px;'><p>15. Starting Lambda Code</p><p style='margin: 0'>In this video, we will prepare to write the code for the chatbot's functioning; we will import a few required libraries, including JSON, datetime, and time.</p></td></tr><tr><td style='padding: 15px;'><p>16. Session state Dialog Hook and Dialog Action</p><p style='margin: 0'>In this lecture, we will understand what a session state is, basically the state of the conversation between the user and the Amazon Lex chatbot and dialog action, which determines the action that Amazon Lex should take to the Lambda function.</p></td></tr><tr><td style='padding: 15px;'><p>17. Completing Lambda Function</p><p style='margin: 0'>In this lesson, we will complete the Lambda function and the last part of the chatbot build-the fulfillment code hook and add them to the database.</p></td></tr><tr><td style='padding: 15px;'><p>18. Testing Our Chatbot</p><p style='margin: 0'>After completing all the necessary steps in building the chatbot, we will now deploy the chatbot and back to the Lex console. We will then test the chatbot for the intended tasks it is to perform.</p></td></tr><tr><td style='padding: 15px;'><p>19. Chatbot Deployment on WhatsApp with Twilio</p><p style='margin: 0'>In this video, we will look at making sure that the chatbot is being communicated with correctly and that we do not need to use the Lex interface to use the chatbot.</p></td></tr><tr><td style='padding: 15px;'><p>20. Integration with Boto</p><p style='margin: 0'>In this lesson, we will discuss deploying our chatbot using code. We will not use a built-in application such as Twilio; instead, we will use a Python library, Boto.</p></td></tr><tr><td style='padding: 15px;'><p>21. Responses with Boto</p><p style='margin: 0'>After creating a query with Boto and obtaining responses from the chatbot, we will look at the responses obtained with Boto.</p></td></tr><tr><td style='padding: 15px;'><p>22. Chatbot on Website</p><p style='margin: 0'>This video demonstrates how to use the chatbot that we created on a website. We will look at the available code to implement the chatbot and showcase it on the website. We will use the app, Kommunicate.io.</p></td></tr><tr><td style='padding: 15px;'><p>23. Response Cards for User Experience</p><p style='margin: 0'>In this video, you will learn about creating response cards and adding better user themes and experiences.</p></td></tr><tr><td style='padding: 15px;'><p>24. Complete Chatbot with Response Cards</p><p style='margin: 0'>This video will teach us to create complete response cards and check the created slot types with options best suited for enhanced user experience. We will test the bot for the full functionality of the intended tasks.</p></td></tr></tbody></table>

Do you want to build a simple, reliable, and error-free chatbot for your business? If yes, then this is the course for you! Learn to build a chatbot with Amazon Lex, a fully-controlled AI service with sophisticated natural language models to create, develop, test, and deploy chatbots (conversational interfaces) in applications.
Amazon Lex, a fully-controlled AI service, has sophisticated natural language models to create, develop, test, and deploy chatbots (conversational interfaces) in applications. Amazon Web Service (AWS) provides AWS Lambda, a serverless computing service without provisioning or managing servers. The course begins with an exhaustive overview of the fundamentals of AWS for chatbots, training chatbot development with deep learning. Afterward, we will delve into the characteristics of AWS and its notable functionalities. Following this, we will embark on constructing a chatbot for hotel booking utilizing Amazon Lex. Subsequently, we will acquire the skills to establish an AWS Lambda function and establish its connection with Amazon Lex. Then, we will cover the concepts of chatbot backend development for AWS Lex and AWS Lambda. We will further advance to integrate the chatbot with Twilio and learn to use the AWS Software Development Kit. Website integration of AWS Lex chatbot and implementing response cards with chatbots is the final concept that we will explore in the course. Upon completing this course, you will relate concepts and theories for chatbots in various domains, gain extensive understanding, and learn to implement AWS Lex and AWS Lambda for building real-world chatbots. You will independently build customized chatbots with AWS Lex and AWS Lambda and integrate your chatbots with WhatsApp, messaging apps, and websites. All resources are available at: https://github.com/PacktPublishing/-Chatbots-Development-with-Amazon-Lex
What You Will Learn
Learn the fundamentals of Amazon Web Services (AWS)
Gain hands-on chatbot development with Amazon Lex and Amazon Lambda
Explore web-based Amazon Web Services chatbot development
Run code on AWS Lambda without provisioning or managing servers
Learn practical usage of Twilio and its integration with AWS for chatbots
Explore the functionality of Amazon Lex for chatbot development
Audience
This course is tailored for individuals interested in AWS and applying AWS Lex and AWS Lambda for chatbot development. This course will benefit individuals interested in building customized chatbots for their applications-AI practitioners, chatbot developers, research scholars, data scientists, and so on.
Approach
The course is created as online tutorials that promote learning by doing. You get comprehensive knowledge via building and testing the implementation of projects in real-world applications. Simple, jargon-free explanations ensure that you understand the concepts clearly. The course provides a sound understanding of the basics before proceeding to more complex concepts.
Key Features
Learn AWS Lex and Lambda basics and applications of chatbots and build them with hands-on practice * Develop chatbots with AWS Lex and AWS Lambda and test and implement chatbots in real-world apps * Learn essential chatbot integration with Twilio and Boto-3, and integrate websites with the chatbots
Github Repo
https://github.com/PacktPublishing/-Chatbots-Development-with-Amazon-Lex
About the Author
AI Sciences
AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences. Their courses have successfully helped more than 100,000 students master AI and data science.
Course Outline
1. Introduction
This section focuses on the course introduction and provides a quick overview of the instructor/author of the course, the AI Sciences group and how they deliver courses, and a general course description.
1. Course Introduction
The instructor provides a general overview of what you will learn from this course-chatbot development with Amazon Lex. We will also discuss Amazon Lambda and different methodologies for chatbot building.
2. Instructor Introduction
In this video, we will quickly know the instructor/author of the course and look at his qualifications and experience in delivering the course in this online mode.
3. AI Sciences Introduction
This video briefly outlines AI Sciences, how they deliver courses online, their ratings and presence, and the topics they provide courses on.
4. Course Description
This video discusses the concepts to be covered in this course, including Amazon Web Services, Amazon Lex bot, Amazon Twilio, website integration, response cards, and more.
2. Fundamentals of AWS for Chatbots
This section focuses on chatbot development with Amazon Lex, including the services offered, the salient features of Lex, the benefits of using Amazon Lex, and the architecture.
1. Module Overview
In this video, we will discuss the concepts covered in this module, including Amazon Web Services, the web services that Amazon provides, how we can use these services, and the benefits of AWS, apart from the salient features of AWS.
2. Overview of AWS
In this lecture, we will look at Amazon Web Services, which is the most comprehensive and widely adopted web service. We will also discuss its functionality, Amazon Community, security, innovation pace, operational expertise, and more.
3. Services of AWS
This video outlines the various services provided by AWS, including more than 200 services, AWS Compute, AWS Storage, AWS Database, AWS Migration, API Gateway, cloud management services, WAF and shield, elastic transcoder, and more.
4. Salient Features of AWS
Let's understand the salient features of AWS, including pricing, flexibility, and scalability, global architecture, PaaS services, reliability, scheduling, customization, and security.
5. Lex Bot Overview
In this video, we will look at the Amazon Lex bot. Here, we will briefly overview its architecture, define the chat experience and the processes involved, and deploy the chatbot.
6. Benefits of Amazon Lex
Here, we will discuss the benefits of using Lex bot, including seamless deployment and scaling, built-in integration with AWS, input technologies, cost-effectiveness, and simplicity.
7. Framework of Lex
In this lecture, we will discuss the framework of Amazon Lex and how it functions. We will look at the operation cycle of the Amazon chatbot.
3. Chatbot Development with AWS Lex and AWS Lambda
This section focuses on chatbot development with Amazon Lex and AWS Lambda. This module is regarding hands-on training in chatbot development using Amazon Lex.
1. Module Overview
This is an introductory video on the concepts to be learned in this module, including chatbot creation steps, AWS Lambda, Twilio, and project creation.
2. Chatbot Steps
This video provides an in-depth outline of the various steps involved in creating a chatbot with Amazon Lex. We will understand how Amazon Lex connects with Amazon Lambda, Twilio software, and Amazon DynamoDB for storage.
3. AWS Lambda Steps
In this lesson, you will learn to connect Amazon Lambda with Amazon Lex. Amazon Lambda helps with the validation and fulfillment of the chatbot. You will learn about the steps involved in performing the connectivity.
4. Twilio and Website
In this video, you will learn about the Twilio application and how it helps Amazon Lex create the chatbot. You will learn to integrate Twilio with Lex. This is the third step for Twilio connectivity and website connectivity.
5. Response Cards
This is the last step in creating an Amazon Lex chatbot, creating and adding response cards, including the card setup, slot upgradation, chatbot building, and demonstration.
6. Start Developing Chatbot
This video demonstrates the process of creating the Amazon Lex chatbot step by step. You will learn to create your ID on Amazon.com and log in. We will get to the interface and start working from there.
7. Intent Utterance and Slot
In this video, we will discuss intent in depth, which are utterances the user asks, and reveal the user's intent. We will also understand about a slot, which is information that Amazon Lex requires to fulfill an intent.
8. Making Utterances
After understanding intents and slots in detail, we will make utterances in our chatbots. We will begin with creating intent and then create an utterance using the sample utterances tab.
9. Generic Utterance with Slots
This is the continuation of the lesson from the previous video, where we learned how to create a new intent and then create sample utterances. We will look at completing the information required for the chatbot to understand the intent and create the slot.
10. Adding Custom Slots
This video will teach us to add multiple customized slots to the utterances. We will create prompts, add slot types, create multiple slots, and then save our intent on the chatbot.
11. Build and Test
After creating the intents, we will want to create a few messages as responses to be displayed by the chatbot. You will learn to add acceptance and decline responses to the chatbot.
12. Visual Builder
In this video, we will create a conversational flow, plan the utterances, and make the chatbot accept the queries and responses. We will then use the visual builder to set up the visual perspective of the chatbot.
13. Lambda Introduction
After building and testing the chatbot and creating the visual structure, you will learn to create the backend on Amazon Lambda and connect it with our chatbot for seamless working.
14. Interconnection
This video demonstrates the process of connecting Amazon Lambda to our chatbot. We will create the functions required for our chatbot and author it from scratch.
15. Starting Lambda Code
In this video, we will prepare to write the code for the chatbot's functioning; we will import a few required libraries, including JSON, datetime, and time.
16. Session state Dialog Hook and Dialog Action
In this lecture, we will understand what a session state is, basically the state of the conversation between the user and the Amazon Lex chatbot and dialog action, which determines the action that Amazon Lex should take to the Lambda function.
17. Completing Lambda Function
In this lesson, we will complete the Lambda function and the last part of the chatbot build-the fulfillment code hook and add them to the database.
18. Testing Our Chatbot
After completing all the necessary steps in building the chatbot, we will now deploy the chatbot and back to the Lex console. We will then test the chatbot for the intended tasks it is to perform.
19. Chatbot Deployment on WhatsApp with Twilio
In this video, we will look at making sure that the chatbot is being communicated with correctly and that we do not need to use the Lex interface to use the chatbot.
20. Integration with Boto
In this lesson, we will discuss deploying our chatbot using code. We will not use a built-in application such as Twilio; instead, we will use a Python library, Boto.
21. Responses with Boto
After creating a query with Boto and obtaining responses from the chatbot, we will look at the responses obtained with Boto.
22. Chatbot on Website
This video demonstrates how to use the chatbot that we created on a website. We will look at the available code to implement the chatbot and showcase it on the website. We will use the app, Kommunicate.io.
23. Response Cards for User Experience
In this video, you will learn about creating response cards and adding better user themes and experiences.
24. Complete Chatbot with Response Cards
This video will teach us to create complete response cards and check the created slot types with options best suited for enhanced user experience. We will test the bot for the full functionality of the intended tasks.

AWS Lambda

Do you want to build a simple, reliable, and error-free chatbot for your business? If yes, then this is the course for you! Learn to build a chatbot with Amazon Lex, a fully-controlled AI service with sophisticated natural language models to create, develop, test, and deploy chatbots (conversational interfaces) in applications.

Chatbots Development with Amazon Lex

<strong>Make your code and programs faster and more efficient by using algorithms</strong>
        <p>Using algorithms in your programming allows you to improve the efficiency, performance, speed, and scalability of your code, applications, and programs. If you're looking to get up and running with algorithms in JavaScript from scratch, then this course is for you.

You will learn what algorithms are, why they are important, and how to code them in JavaScript. You will also understand other important programming concepts as you advance such as functional programming, time complexity, and recursion. You'll also discover how to implement them in the algorithms that you build through the course.
This course also features useful diagrams and animations to help you learn easily and effectively. The purpose of this course is not to simply help you memorize the algorithms, but instead to guide you on how the code works so you get hands-on experience in working with algorithms.  The course covers a mix of ES5 and ES6 code to help you grasp the fundamental concepts easily.

By the end of this course, you will have developed the skills you need to make your programs run efficiently using algorithms.

All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Learning-Algorithms-in-JavaScript-from-Scratch</p>
        <h2>What You Will Learn</h2><p>Code important algorithms in JavaScript and understand how they work<br>Improve the efficiency, performance, and scalability of your code, applications, and programs<br>Prepare effectively for technical engineering and programming interviews, as well as coding challenges</p>
        <h2>Audience</h2><p>If you have recently graduated from a coding boot camp or are looking for a developer or engineering job, then this course will help you further develop your skills.</p>
        <h2>Approach</h2><p>This course is designed like a programming job interview. For each section, you will be asked to build a specific type of algorithm. After you have attempted to build the algorithm on your own, you can explore the solution video that will take you through the best-practices for building the algorithm. You'll also find useful diagrams and animations that help to make complex concepts easier to understand. The course structure will help you use the critical thinking and coding skills that you'll grasp through the course.</p>
        <h2>Key Features</h2><p>Explore important algorithms and understand how they work * Learn the skills and concepts that you need to know to build your own algorithms that function the way you need them to</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/learning-algorithms-in-javascript-from-scratch</p>
        <h2>About the Author</h2><h3>Eric Traub</h3><p>Eric Traub currently works as a software engineer in New York City. He has extensive experience working as a teacher and instructing people in a variety of different subjects. He changed his career from teaching to software engineering because of the excitement it brings to him and the passion that he has for it. He is now lucky enough to have the opportunity to combine both of these passions - software engineering and teaching!</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Fizz Buzz</h4><p></p><br><h4>3. Harmless Ransom Note</h4><p></p><br><h4>4. Is Palindrome</h4><p></p><br><h4>5. Caesar Cipher</h4><p></p><br><h4>6. Reverse Words</h4><p></p><br><h4>7. Reverse Array In Place</h4><p></p><br><h4>8. Mean Median Mode</h4><p></p><br><h4>9. Two Sum</h4><p></p><br><h4>10. Binary Search</h4><p></p><br><h4>11. Fibonacci</h4><p></p><br><h4>12. Memoized Fibonacci</h4><p></p><br><h4>13. Sieve of Eratosthenes</h4><p></p><br><h4>14. Bubble Sort</h4><p></p><br><h4>15. Merge Sort</h4><p></p><br><h4>16. Max Stock Profit</h4><p></p><br><h4>17. Next Steps</h4><p></p>

Make your code and programs faster and more efficient by using algorithms
Using algorithms in your programming allows you to improve the efficiency, performance, speed, and scalability of your code, applications, and programs. If you're looking to get up and running with algorithms in JavaScript from scratch, then this course is for you. You will learn what algorithms are, why they are important, and how to code them in JavaScript. You will also understand other important programming concepts as you advance such as functional programming, time complexity, and recursion. You'll also discover how to implement them in the algorithms that you build through the course.
This course also features useful diagrams and animations to help you learn easily and effectively. The purpose of this course is not to simply help you memorize the algorithms, but instead to guide you on how the code works so you get hands-on experience in working with algorithms. The course covers a mix of ES5 and ES6 code to help you grasp the fundamental concepts easily. By the end of this course, you will have developed the skills you need to make your programs run efficiently using algorithms. All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Learning-Algorithms-in-JavaScript-from-Scratch
What You Will Learn
Code important algorithms in JavaScript and understand how they work
Improve the efficiency, performance, and scalability of your code, applications, and programs
Prepare effectively for technical engineering and programming interviews, as well as coding challenges
Audience
If you have recently graduated from a coding boot camp or are looking for a developer or engineering job, then this course will help you further develop your skills.
Approach
This course is designed like a programming job interview. For each section, you will be asked to build a specific type of algorithm. After you have attempted to build the algorithm on your own, you can explore the solution video that will take you through the best-practices for building the algorithm. You'll also find useful diagrams and animations that help to make complex concepts easier to understand. The course structure will help you use the critical thinking and coding skills that you'll grasp through the course.
Key Features
Explore important algorithms and understand how they work * Learn the skills and concepts that you need to know to build your own algorithms that function the way you need them to
Github Repo
https://github.com/packtpublishing/learning-algorithms-in-javascript-from-scratch
About the Author
Eric Traub
Eric Traub currently works as a software engineer in New York City. He has extensive experience working as a teacher and instructing people in a variety of different subjects. He changed his career from teaching to software engineering because of the excitement it brings to him and the passion that he has for it. He is now lucky enough to have the opportunity to combine both of these passions - software engineering and teaching!
Course Outline
1. Introduction

2. Fizz Buzz

3. Harmless Ransom Note

4. Is Palindrome

5. Caesar Cipher

6. Reverse Words

7. Reverse Array In Place

8. Mean Median Mode

9. Two Sum

10. Binary Search

11. Fibonacci

12. Memoized Fibonacci

13. Sieve of Eratosthenes

14. Bubble Sort

15. Merge Sort

16. Max Stock Profit

17. Next Steps


JavaScript

Coding Interview

Algorithms

Make your code and programs faster and more efficient by using algorithms

Learning Algorithms in JavaScript from Scratch

<strong>Learn the advanced concepts of the Laravel and Vue.js frameworks and build a complete real-world project</strong>
        <p>If you're looking for a course that will help you get to grips with the advanced features of the Laravel framework, this advanced Laravel and Vue.js course is all that you need.

In this course, you'll cover advanced features of the Laravel framework, delve into its source code, and understand it effortlessly. You'll explore the core concepts and design patterns in the framework and learn how to build and deploy a real-world application. As you advance, you'll also learn how to build Laravel applications with a VueJS frontend and finally build a complete YouTube clone application from scratch.

Get started on your journey to becoming a professional Laravel developer, building world-class applications now!

All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Advanced-Laravel-and-Vuejs---Build-a-Youtube-clone</p>
        <h2>What You Will Learn</h2><p>Understand Implicit and explicit route model binding<br>Get to grips with video processing, storage, and file systems<br>Create advanced eloquent concepts and work with multiple file uploads<br>Execute any project from start to finish, pairing Laravel and Vuejs effectively</p>
        <h2>Audience</h2><p>This course is for anyone who has a basic understanding of the Laravel PHP framework and the Vue.js front-end framework. You'll learn advanced concepts and get hands-on training on enterprise-grade projects that you can add to your portfolio.</p>
        <h2>Approach</h2><p>This course follows a practical, hands-on, project-based approach. From the first lesson to the last, learn new concepts, best practices, and architectures and have hands on practical examples on how to use these in real-world scenarios.</p>
        <h2>Key Features</h2><p>Plan, organize, structure, and build a real-world full-stack project from scratch * Understand and use the most advanced concepts of the Laravel framework * Create reusable and customizable Vue.js components for your applications</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/advanced-laravel-and-vuejs---build-a-youtube-clone</p>
        <h2>About the Author</h2><h3>Kati Frantz</h3><p>Kati Frantz is a team player software engineer with 6+ years experience developing robust code for high volume businesses. He has proven success in developing scalable and maintainable software following world-class coding standards. Kati is a community builder, software development instructor and passionate about building the next generation of experts.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Setting up the project</h4><p></p><br><h4>3.  Channels and channel subscriptions</h4><p></p><br><h4>4. Video uploading and processing</h4><p></p><br><h4>5. Video updates, views and votes</h4><p></p><br><h4>6. Commenting system</h4><p></p><br><h4>7. Final touches</h4><p></p>

Learn the advanced concepts of the Laravel and Vue.js frameworks and build a complete real-world project
If you're looking for a course that will help you get to grips with the advanced features of the Laravel framework, this advanced Laravel and Vue.js course is all that you need. In this course, you'll cover advanced features of the Laravel framework, delve into its source code, and understand it effortlessly. You'll explore the core concepts and design patterns in the framework and learn how to build and deploy a real-world application. As you advance, you'll also learn how to build Laravel applications with a VueJS frontend and finally build a complete YouTube clone application from scratch. Get started on your journey to becoming a professional Laravel developer, building world-class applications now! All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Advanced-Laravel-and-Vuejs---Build-a-Youtube-clone
What You Will Learn
Understand Implicit and explicit route model binding
Get to grips with video processing, storage, and file systems
Create advanced eloquent concepts and work with multiple file uploads
Execute any project from start to finish, pairing Laravel and Vuejs effectively
Audience
This course is for anyone who has a basic understanding of the Laravel PHP framework and the Vue.js front-end framework. You'll learn advanced concepts and get hands-on training on enterprise-grade projects that you can add to your portfolio.
Approach
This course follows a practical, hands-on, project-based approach. From the first lesson to the last, learn new concepts, best practices, and architectures and have hands on practical examples on how to use these in real-world scenarios.
Key Features
Plan, organize, structure, and build a real-world full-stack project from scratch * Understand and use the most advanced concepts of the Laravel framework * Create reusable and customizable Vue.js components for your applications
Github Repo
https://github.com/packtpublishing/advanced-laravel-and-vuejs---build-a-youtube-clone
About the Author
Kati Frantz
Kati Frantz is a team player software engineer with 6+ years experience developing robust code for high volume businesses. He has proven success in developing scalable and maintainable software following world-class coding standards. Kati is a community builder, software development instructor and passionate about building the next generation of experts.
Course Outline
1. Introduction

2. Setting up the project

3. Channels and channel subscriptions

4. Video uploading and processing

5. Video updates, views and votes

6. Commenting system

7. Final touches


Youtube

Learn the advanced concepts of the Laravel and Vue.js frameworks and build a complete real-world project

Advanced Laravel and Vue.js: Build a YouTube Clone

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Accelerate Your Full Stack Developer Career: Fast-Track Program with Exams, TOTUM Card &amp; 5-Year Support. Enrol Today!</p><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><div style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Study method</strong></div>Online</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Duration</strong></div>12months <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&middot;</strong>&nbsp;Self-paced</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Access to content</strong></div>5 years</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Certifications</strong></div></div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);">CompTIA IT Fundamentals Certification</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist HTML5 Application Development</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist HTML and CSS</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist Python</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist AI (Artificial Intelligence)</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist Databases</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist JavaScript</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><br fr-original-style="" style="box-sizing: border-box;"></div></div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Additional info</strong></div><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Exam(s) / assessment(s) is included in price</li><li fr-original-style="" style="box-sizing: border-box;">Tutor is available to students</li><li fr-original-style="" style="box-sizing: border-box;">TOTUM card included in price</li><li fr-original-style="" style="box-sizing: border-box;">Job guarantee programme is included in this course</li></ul><div fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></div><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Overview</h2><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learn the most in-demand digital skills in the world today with the Nuyew Tech Academy</strong></strong></p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">A Full Stack Developer is someone who is familiar and comfortable with all layers in computer software development. Full Stack Developers have the functional knowledge and ability to take a concept and turn it into a finished product. They understand how everything works from top to bottom and can anticipate problems accordingly.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Becoming a Full Stack Developer has many advantages over being a specialist in either front-end or back-end development with one of the main advantages being the fact that they tend to find themselves very much in demand as they have more of the key skills desired by the leading Tech Companies.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Certifications</h2><div style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><h3 fr-original-style="" style="box-sizing: border-box;">CompTIA IT Fundamentals Certification</h3>Awarded by&nbsp;CompTIA</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist HTML5 Application Development</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist HTML and CSS</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist Python</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist AI (Artificial Intelligence)</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist Databases</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist JavaScript</h3>Awarded by Pearson</div></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><h2 fr-original-style="" style="box-sizing: border-box;">Description</h2><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">With a national shortage of&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Full Stack Developers</strong>, starting salaries of up to &pound;25,000 per annum (average UK Salary &pound;52,500) and amazing future employed and self-employed career prospects, take the next step today with our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Fast Track Full Stack Developer Programme.</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">What you can expect from our Fast Track Programme:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">World Class Education</li><li fr-original-style="" style="box-sizing: border-box;">Energetic and unlimited 24/7 Student Support</li><li fr-original-style="" style="box-sizing: border-box;">Real, tangible Career Outcomes</li><li fr-original-style="" style="box-sizing: border-box;">5 Years Career Support and Course Access</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">What our programme includes:</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Foundation Awards</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">CompTIA ITF+ (IT Fundamentals)</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Industry Recognised Qualifications</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist HTML5 Application Development</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist HTML and CSS</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist JavaScript</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist Python</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist AI (Artificial Intelligence)</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist Databases</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Exams</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Includes all Exams and Unlimited Re-Sits</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">5 Years Career Support Guarantee</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">As part of our unique Support Guarantee, our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Career Support Team</strong>&nbsp;will assist you with:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">CV writing</li><li fr-original-style="" style="box-sizing: border-box;">Expert careers advice</li><li fr-original-style="" style="box-sizing: border-box;">Interview preparation</li><li fr-original-style="" style="box-sizing: border-box;">Identifying and applying for the best opportunities in your area</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">As a student in the&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Nuyew Tech Academy</strong>&nbsp;you will also be given exclusive access to our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Career Skills Academy</strong>&nbsp;which includes advanced courses on Employability, CV Preparation, Interview Skills and Technique and everything else you need to get ready for your new Career.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Who is this course for?</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is open to anyone interested in pursuing a Career in Full Stack Web Development. Our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Foundation Level</strong>&nbsp;provides the flexibility for us to accommodate students with any level of previous knowledge and experience.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Requirements</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is open to all and has no pre-requisites All you need is a passion for technology and a strong desire to succeed.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Career path</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Our programme is designed to enable you to achieve an Entry Level/Helpdesk role during training (&pound;18k-&pound;24K) ensuring that you also have the vital work experience required to enter the Tech Industry at a higher level (Av Salary &pound;52.5K).</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;">Our Career Support Guarantee gives you exclusive access to our dedicated Career Support Team and Advanced Career Skills Academy for 5 Years following Graduation.</p><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p></div></section></section></div>

Accelerate Your Full Stack Developer Career: Fast-Track Program with Exams, TOTUM Card & 5-Year Support. Enrol Today!



Study methodOnline
Duration12months · Self-paced
Access to content5 years
CertificationsCompTIA IT Fundamentals CertificationPearson IT Specialist HTML5 Application DevelopmentPearson IT Specialist HTML and CSSPearson IT Specialist PythonPearson IT Specialist AI (Artificial Intelligence)Pearson IT Specialist DatabasesPearson IT Specialist JavaScript
Additional info
Exam(s) / assessment(s) is included in price
Tutor is available to students
TOTUM card included in price
Job guarantee programme is included in this course



Overview
Learn the most in-demand digital skills in the world today with the Nuyew Tech Academy
A Full Stack Developer is someone who is familiar and comfortable with all layers in computer software development. Full Stack Developers have the functional knowledge and ability to take a concept and turn it into a finished product. They understand how everything works from top to bottom and can anticipate problems accordingly.
Becoming a Full Stack Developer has many advantages over being a specialist in either front-end or back-end development with one of the main advantages being the fact that they tend to find themselves very much in demand as they have more of the key skills desired by the leading Tech Companies.
Certifications
CompTIA IT Fundamentals Certification
Awarded by CompTIA
Pearson IT Specialist HTML5 Application Development
Pearson IT Specialist HTML and CSS
Pearson IT Specialist Python
Pearson IT Specialist AI (Artificial Intelligence)
Pearson IT Specialist Databases
Pearson IT Specialist JavaScript
Awarded by Pearson



Description
With a national shortage of Full Stack Developers, starting salaries of up to £25,000 per annum (average UK Salary £52,500) and amazing future employed and self-employed career prospects, take the next step today with our Fast Track Full Stack Developer Programme.
What you can expect from our Fast Track Programme:
World Class Education
Energetic and unlimited 24/7 Student Support
Real, tangible Career Outcomes
5 Years Career Support and Course Access
What our programme includes:
Foundation Awards
CompTIA ITF+ (IT Fundamentals)
Industry Recognised Qualifications
Pearson IT Specialist HTML5 Application Development
Pearson IT Specialist HTML and CSS
Pearson IT Specialist JavaScript
Pearson IT Specialist Python
Pearson IT Specialist AI (Artificial Intelligence)
Pearson IT Specialist Databases
Exams
Includes all Exams and Unlimited Re-Sits
5 Years Career Support Guarantee
As part of our unique Support Guarantee, our Career Support Team will assist you with:
CV writing
Expert careers advice
Interview preparation
Identifying and applying for the best opportunities in your area
As a student in the Nuyew Tech Academy you will also be given exclusive access to our Career Skills Academy which includes advanced courses on Employability, CV Preparation, Interview Skills and Technique and everything else you need to get ready for your new Career.
Who is this course for?
This course is open to anyone interested in pursuing a Career in Full Stack Web Development. Our Foundation Level provides the flexibility for us to accommodate students with any level of previous knowledge and experience.
Requirements
This course is open to all and has no pre-requisites All you need is a passion for technology and a strong desire to succeed.
Career path
Our programme is designed to enable you to achieve an Entry Level/Helpdesk role during training (£18k-£24K) ensuring that you also have the vital work experience required to enter the Tech Industry at a higher level (Av Salary £52.5K).

Our Career Support Guarantee gives you exclusive access to our dedicated Career Support Team and Advanced Career Skills Academy for 5 Years following Graduation.



NuYew Ltd

Full Stack Developer

Certified Full Stack Developer Pathway with Career Guarantee

<p><strong>*** 10 QLS Endorsed Courses for Programmers | 10 QLS Endorsed Hard Copy Certificates Included | Lifetime Access | Installment Payment | Tutor Support ***</strong></p><p>Imagine being able to code in a multitude of programming languages and expand your skill set, making you an invaluable asset in the tech industry. Imagine navigating complex software development projects confidently and being able to design and implement effective solutions. This dream can become a reality with our<strong> Computer Programmer QLS Endorsed Courses </strong>bundle<strong>.</strong></p><p>Endorsed by the prestigious Quality Licence Scheme, our bundle offers learners <strong>10 QLS Endorsed Certificate hard copies free of charge</strong> upon completion. Whether you're a beginner looking to dip your toes in the world of programming or a seasoned pro wanting to expand your knowledge, our courses cover a wide range of programming languages, from Assembly to C++, HTML to Python, and even machine learning.</p><p>As a tech industry professional in the UK, it's essential to stay up to date with the latest programming languages and tools. With statistics showing that the tech industry is continuing to grow, with a <strong>projected 7% increase in tech job openings</strong> by 2023 in the UK alone, there has never been a better time to invest in your career development. By taking our <strong>Computer Programmer QLS Endorsed Courses</strong>, you can position yourself as a highly skilled and knowledgeable candidate in this competitive field.</p><p>Invest in your future and enrol in our <strong>Computer Programmer QLS Endorsed Courses</strong> bundle today. With our free certificate hardcopies and Quality Licence Scheme endorsement, you'll be on your way to achieving your programming career goals in no time.</p><p><strong>Learning Outcomes:</strong></p><ul><li>Learn assembly programming for various platforms, including Windows, Linux, and macOS.</li><li>Develop a solid foundation in C++ programming language and learn advanced concepts such as templates and exceptions.</li><li>Gain a thorough understanding of HTML 5 and its applications in web development.</li><li>Develop dynamic and secure web applications using PHP, MySQL, and Object-Oriented Programming (OOP) principles.</li><li>Master the basics of HTML and CSS and develop responsive websites with HTML Web development.</li><li>Learn to write secure code and prevent common security vulnerabilities in web applications.</li><li>Gain proficiency in Python programming language and apply it to data analysis and Machine learning.</li></ul><p><strong>Why Choose Imperial Academy?</strong></p><ul><li>Fully Online Training</li><li>QLS Endorsed &amp; CPD Accredited Certificate</li><li>No Time Limits. Study at Your Own Pace</li><li>Expert Instructors</li><li>Audio Visual Training</li><li>Up-to-date Curriculum and Valuable Guidelines</li></ul><p>The <strong>Computer Programmer QLS Endorsed Courses</strong> bundle offers a diverse range of courses covering various programming languages and concepts, career coaching, and self-improvement. The bundle starts with assembly programming, where learners will gain a fundamental understanding of assembly language and develop skills to write assembly programs for different platforms. The C++ development course is designed for learners who want to learn both basic and advanced C++ programming concepts. The Basic HTML 5 course provides a solid foundation in HTML 5, including its new features and applications in web development.</p><p>The PHP &amp; MySQL web development course teaches learners how to develop dynamic web applications using PHP, MySQL, and OOP principles. The HTML Web Development Crash Course covers the basics of HTML and CSS, enabling learners to create responsive websites with a mobile-first approach. The Secure Programming of Web Applications course is designed to help learners prevent common security vulnerabilities in web applications.</p><p>The Python Programming for Non-Programmers Level 5 course teaches learners Python programming from scratch. The Machine Learning with Python course covers machine learning concepts and tools and their applications in data analysis.</p><p><strong>This bundle comprises the following courses:</strong></p><p><strong>QLS Endorsed Courses:</strong></p><ul><li><strong>Course 01:</strong> Assembly Programming For All Platforms</li><li><strong>Course 02:</strong> C++ Development: The Complete Coding Guide</li><li><strong>Course 03:</strong> Basic HTML 5</li><li><strong>Course 04:</strong> Ultimate PHP &amp; MySQL Web Development Course &amp; OOP Coding</li><li><strong>Course 05:</strong> HTML Web Development Crash Course</li><li><strong>Course 06:</strong> Secure Programming of Web Applications - Developers and TPMs</li><li><strong>Course 07:</strong> Python Programming for Non-Programmers Level 5</li><li><strong>Course 08:</strong> Machine Learning with Python</li><li><strong>Course 09:</strong> Career Coaching</li><li><strong>Course 10:</strong> The Unstoppable Self-Confidence &amp; High Self-Esteem Blueprint</li></ul><p><strong>Certificate: </strong></p><p>The Quality Licence Scheme ensures excellence and quality. These courses' learning outcomes also provide the learners with high competence in their line of work. So, <strong>QLS Endorsed</strong> courses deliver not only deep knowledge but also add great value to the resume.</p><p>After completing the assessments, learners will be eligible for a prestigious <strong>QLS Certificate</strong> for each endorsed course in this bundle. Moreover, the certificates will be delivered to their home free of cost!</p><p>Imperial Academy is an approved reselling partner for Quality Licence Scheme courses under One Education.</p><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <ul><li>Individuals interested in learning assembly programming, C++ programming, HTML, PHP, MySQL, and Python.</li><li>Anyone looking to improve their programming skills and gain knowledge in web development and machine learning.</li><li>People interested in improving their self-confidence and self-esteem through the Unstoppable</li><li>Self-Confidence &amp; High Self-Esteem Blueprint course.</li><li>Individuals seeking career coaching to advance their careers and improve their job prospects.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>Anyone can enrol in this <strong>Computer Programmer QLS Endorsed Courses</strong>.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Web Developer: £20,000 - £50,000</li><li>Software Engineer: £25,000 - £65,000</li><li>Data Analyst: £24,000 - £50,000</li><li>Machine Learning Engineer: £30,000 - £80,000</li><li>Cybersecurity Analyst: £25,000 - £60,000</li><li>Career Coach: £20,000 - £60,000</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Hard Copy QLS Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>PDF Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Student ID Card</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

*** 10 QLS Endorsed Courses for Programmers | 10 QLS Endorsed Hard Copy Certificates Included | Lifetime Access | Installment Payment | Tutor Support ***
Imagine being able to code in a multitude of programming languages and expand your skill set, making you an invaluable asset in the tech industry. Imagine navigating complex software development projects confidently and being able to design and implement effective solutions. This dream can become a reality with our Computer Programmer QLS Endorsed Courses bundle.
Endorsed by the prestigious Quality Licence Scheme, our bundle offers learners 10 QLS Endorsed Certificate hard copies free of charge upon completion. Whether you're a beginner looking to dip your toes in the world of programming or a seasoned pro wanting to expand your knowledge, our courses cover a wide range of programming languages, from Assembly to C++, HTML to Python, and even machine learning.
As a tech industry professional in the UK, it's essential to stay up to date with the latest programming languages and tools. With statistics showing that the tech industry is continuing to grow, with a projected 7% increase in tech job openings by 2023 in the UK alone, there has never been a better time to invest in your career development. By taking our Computer Programmer QLS Endorsed Courses, you can position yourself as a highly skilled and knowledgeable candidate in this competitive field.
Invest in your future and enrol in our Computer Programmer QLS Endorsed Courses bundle today. With our free certificate hardcopies and Quality Licence Scheme endorsement, you'll be on your way to achieving your programming career goals in no time.
Learning Outcomes:
Learn assembly programming for various platforms, including Windows, Linux, and macOS.
Develop a solid foundation in C++ programming language and learn advanced concepts such as templates and exceptions.
Gain a thorough understanding of HTML 5 and its applications in web development.
Develop dynamic and secure web applications using PHP, MySQL, and Object-Oriented Programming (OOP) principles.
Master the basics of HTML and CSS and develop responsive websites with HTML Web development.
Learn to write secure code and prevent common security vulnerabilities in web applications.
Gain proficiency in Python programming language and apply it to data analysis and Machine learning.
Why Choose Imperial Academy?
Fully Online Training
QLS Endorsed & CPD Accredited Certificate
No Time Limits. Study at Your Own Pace
Expert Instructors
Audio Visual Training
Up-to-date Curriculum and Valuable Guidelines
The Computer Programmer QLS Endorsed Courses bundle offers a diverse range of courses covering various programming languages and concepts, career coaching, and self-improvement. The bundle starts with assembly programming, where learners will gain a fundamental understanding of assembly language and develop skills to write assembly programs for different platforms. The C++ development course is designed for learners who want to learn both basic and advanced C++ programming concepts. The Basic HTML 5 course provides a solid foundation in HTML 5, including its new features and applications in web development.
The PHP & MySQL web development course teaches learners how to develop dynamic web applications using PHP, MySQL, and OOP principles. The HTML Web Development Crash Course covers the basics of HTML and CSS, enabling learners to create responsive websites with a mobile-first approach. The Secure Programming of Web Applications course is designed to help learners prevent common security vulnerabilities in web applications.
The Python Programming for Non-Programmers Level 5 course teaches learners Python programming from scratch. The Machine Learning with Python course covers machine learning concepts and tools and their applications in data analysis.
This bundle comprises the following courses:
QLS Endorsed Courses:
Course 01: Assembly Programming For All Platforms
Course 02: C++ Development: The Complete Coding Guide
Course 03: Basic HTML 5
Course 04: Ultimate PHP & MySQL Web Development Course & OOP Coding
Course 05: HTML Web Development Crash Course
Course 06: Secure Programming of Web Applications - Developers and TPMs
Course 07: Python Programming for Non-Programmers Level 5
Course 08: Machine Learning with Python
Course 09: Career Coaching
Course 10: The Unstoppable Self-Confidence & High Self-Esteem Blueprint
Certificate: 
The Quality Licence Scheme ensures excellence and quality. These courses' learning outcomes also provide the learners with high competence in their line of work. So, QLS Endorsed courses deliver not only deep knowledge but also add great value to the resume.
After completing the assessments, learners will be eligible for a prestigious QLS Certificate for each endorsed course in this bundle. Moreover, the certificates will be delivered to their home free of cost!
Imperial Academy is an approved reselling partner for Quality Licence Scheme courses under One Education.
 Who is this course for? 
Individuals interested in learning assembly programming, C++ programming, HTML, PHP, MySQL, and Python.
Anyone looking to improve their programming skills and gain knowledge in web development and machine learning.
People interested in improving their self-confidence and self-esteem through the Unstoppable
Self-Confidence & High Self-Esteem Blueprint course.
Individuals seeking career coaching to advance their careers and improve their job prospects.
 Requirements 
Anyone can enrol in this Computer Programmer QLS Endorsed Courses.
 Career path 
Web Developer: £20,000 - £50,000
Software Engineer: £25,000 - £65,000
Data Analyst: £24,000 - £50,000
Machine Learning Engineer: £30,000 - £80,000
Cybersecurity Analyst: £25,000 - £60,000
Career Coach: £20,000 - £60,000
 Certificates 
Hard Copy QLS Certificate
 Hard copy certificate - Included 
PDF Certificate
 Digital certificate - Included 
Student ID Card
 Digital certificate - Included 

Imperial Academy

Computer Programming: Where Inspiration Meets Logic And Dreams Become Lines Of Code

Computer Programmer QLS Endorsed Courses

London

<article>
					<div>
						<h5>C++ Bootcamp  Course, 2-Months.</h5>
					</div>
					<div></div>
					<p>
						<span> </span>
						<br /> C++ Bootcamp is for coding beginners:
						<br />You want all the basic stuff, all the advanced stuff and practical experience and get a fantastic job in C++
					
						<br /><br /><b>Location: </b>Instructor-led, Online.
						<br /><b>Our Style: </b>Hands-on, Practical Course.
						<br /><b>Group Size: </b>Max 4 people per group.  
						<br /><b>Qualification: </b>PCWorkshops C++ Bootcamp Certification
						<br /><b>Hours: </b>2-Months, 1 day per week, 10am-5pm 
						<br /><b>Practical: </b>Exercises to be completed between sessions 
						<br /><b>1-1 Mentoring: </b>1-1 sessions to be scheduled individally between sessions
						<br /><b>Project: </b>Showcase your work online
						
						
				  	</p>
	    		</article> 
				
				<article>
					<div>
						<h5>C++ Bootcamp  Course, Course Outline.</h5>
					</div>
					<div></div>
					<p> 
						 		<b> WEEK 1: BASICS</b> 
								<br />C++ Language Introduction
								<br />Benefits of C++ over other languages
								<br />Compilation of C++ program
								<br />Hello World Program in C++

								<br /><br />Variables and Keywords in C++
								<br />Scope rules in C++
								<br />Data Types in C++
								<br />Operators &amp; Its Types
								<br />Typecasting in C++

								<br /><br />Decision Making Statements

								<br /><br />Loops in C++
								<br />Switch Statement in C++
								<br />Continue Statement | Break Statement
								<br />C++ Loops &amp; Control Structure Practice Questions

								<br /><br /><b>WEEK 2: STRINGS, MATH AND RANDOM</b>
								<br />Arrays in C++
								<br />Strings in C++
								<br />Multidimensional Arrays in C++
								<br />String functions in C++
								<br />Single-quoted &amp; Double-quoted declaration of the char array
								<br />Math in C++
								<br />Random Numbers in C++

								<br /><br /><b>WEEK 3: OOP</b>
								<br />Functions in C++
								<br />Function Prototype
								<br />Parameter Passing Techniques in C++
								<br />Function Overloading, 
								<br /><br />Storage Classes in C++, Classes/Objects, Class Methods, Constructors, Access Specifiers, Encapsulation, Inheritance, Polymorphism
								<br />Recursion Concept

								<br /><br /><b>WEEK 4: DATA STRUCTURES</b>
								<br />Multidimensional Arrays in C++
								<br />Pointers in C++, Double Pointer
								<br />Structures, Union, Enumeration (or enum) in C++
								<br />Declare a pointer to a function
								<br />Pointer vs Array in C++
								<br />Operations on struct variables in C++
								<br />Dynamic Memory Allocation in C++
								<br />Linked List Data Structure
								<br />Memory Leak
								<br />Stack 
								<br />Queue
								<br />Difference between malloc and calloc

								<br /><br /><b>WEEK 5: FILES</b>
								<br />Files and Streams
								<br />Exception Handling
								<br />File Handling, Read Write, Append to Files in C
								<br />Txt and Binary Files
								<br />Multiline macros in C++
								<br />Merge the content of two files into a third one
								<br />Preprocessor in C++
								<br />Preprocessor directives

								<br /><br /><b>WEEK 6 AND 7: C++ ADVANCED</b>
								<br />Dynamic Memory
								<br />Namespaces
								<br />Templates
								<br />Preprocessor
								<br />Signal Handling
								<br />Multithreading

								<br /><br /><b>WEEK 8: DATABASE PROGRAMMING WITH C++</b>
								Connecting to a database, Retrieve data, display a result set,  insert, update, delete records, create a database and table

								<br /><br /><b>WEEK 9: PRACTICAL </b>



							</p>
							<br />					

							<h4>Alternative Bootcamp Courses</h4>
							 
							<br /><br />
				  	<p></p>
	    		</article> 

			    <div>  
				     
	     
	               <div id="cincluded">
	                  <div>
	                     <h5>Included with the C++ Bootcamp  Course</h5>
	                  </div>

	                  <article>
	                  <div>
	                     <ul>
	                        <li>PCWorkshops C++ Bootcamp  Certificate on completion  </li>
							                  
						    <li>C++ Bootcamp  Notes</li>
							<li>C++ Code Examples</li>
	                        <li>Practical C++ Bootcamp  exercises</li>
							 <li>Practical C++ Project Online</li>
							
	                        <li>Personal attention in small groups of max 4 delegates, and 1-1 mentoring</li>
	                        
	                     </ul>
	                  </div>
						   
	                  </article>
	               </div>
			
				    
					
					
					
				   <div id="booking">
	                  <div>
	                     <h5>Book the C++ Bootcamp  Course</h5>
	                  </div>
							 
 							 
								<div id="eventbrite-widget-container-608486368107"></div>

									

									
								
							 
	               </div>
				   <div id="cincluded">
	                  <div>
	                     <h5>About us</h5>
	                  </div> 
	                  	<article>
					    <div>
					    	<div>
					    		<div>
					    			
					    			<h5>Our experienced trainers are award winners. </h5> 
					    			<ul>
										<li>
											More about us
										</li>
										<li>
											FAQ's
										</li>
										<li>
											Client Comments  
										</li>
									 </ul>
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					    		</div>
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					    </div>
					    </article>						
	               </div>
				   
				   
	            </div>

C++ Bootcamp Course, 2-Months.
   
 C++ Bootcamp is for coding beginners: 
You want all the basic stuff, all the advanced stuff and practical experience and get a fantastic job in C++ 

Location: Instructor-led, Online. 
Our Style: Hands-on, Practical Course. 
Group Size: Max 4 people per group. 
Qualification: PCWorkshops C++ Bootcamp Certification 
Hours: 2-Months, 1 day per week, 10am-5pm 
Practical: Exercises to be completed between sessions 
1-1 Mentoring: 1-1 sessions to be scheduled individally between sessions 
Project: Showcase your work online 
C++ Bootcamp Course, Course Outline.
  WEEK 1: BASICS 
C++ Language Introduction 
Benefits of C++ over other languages 
Compilation of C++ program 
Hello World Program in C++ 

Variables and Keywords in C++ 
Scope rules in C++ 
Data Types in C++ 
Operators & Its Types 
Typecasting in C++ 

Decision Making Statements 

Loops in C++ 
Switch Statement in C++ 
Continue Statement | Break Statement 
C++ Loops & Control Structure Practice Questions 

WEEK 2: STRINGS, MATH AND RANDOM 
Arrays in C++ 
Strings in C++ 
Multidimensional Arrays in C++ 
String functions in C++ 
Single-quoted & Double-quoted declaration of the char array 
Math in C++ 
Random Numbers in C++ 

WEEK 3: OOP 
Functions in C++ 
Function Prototype 
Parameter Passing Techniques in C++ 
Function Overloading, 

Storage Classes in C++, Classes/Objects, Class Methods, Constructors, Access Specifiers, Encapsulation, Inheritance, Polymorphism 
Recursion Concept 

WEEK 4: DATA STRUCTURES 
Multidimensional Arrays in C++ 
Pointers in C++, Double Pointer 
Structures, Union, Enumeration (or enum) in C++ 
Declare a pointer to a function 
Pointer vs Array in C++ 
Operations on struct variables in C++ 
Dynamic Memory Allocation in C++ 
Linked List Data Structure 
Memory Leak 
Stack 
Queue 
Difference between malloc and calloc 

WEEK 5: FILES 
Files and Streams 
Exception Handling 
File Handling, Read Write, Append to Files in C 
Txt and Binary Files 
Multiline macros in C++ 
Merge the content of two files into a third one 
Preprocessor in C++ 
Preprocessor directives 

WEEK 6 AND 7: C++ ADVANCED 
Dynamic Memory 
Namespaces 
Templates 
Preprocessor 
Signal Handling 
Multithreading 

WEEK 8: DATABASE PROGRAMMING WITH C++ Connecting to a database, Retrieve data, display a result set, insert, update, delete records, create a database and table 

WEEK 9: PRACTICAL  
Alternative Bootcamp Courses

Included with the C++ Bootcamp Course
PCWorkshops C++ Bootcamp Certificate on completion
C++ Bootcamp Notes
C++ Code Examples
Practical C++ Bootcamp exercises
Practical C++ Project Online
Personal attention in small groups of max 4 delegates, and 1-1 mentoring
Book the C++ Bootcamp Course
About us
Our experienced trainers are award winners.
More about us
FAQ's
Client Comments

PCWorkshops

Online Course Creation

Programming Fundamentals

Computer Programming

Bootcamp

 C++ Bootcamp is for coding beginners:  You want all the basic stuff, all the advanced stuff and practical experience and get a fantastic job in C++ 

C++ Bootcamp Course, 2-Months

General admission

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			<h2><b>Course Overview</b></h2>		</div>
				</div>
				<div>
				<div>
					<div><p><span>Master one of the most versatile operator interface options in the business when you take this training for </span><b>HMI Panelview 800 Configuring and Programming Level 3. </b><span>Panelview monitors have revolutionised the way in which operators use keypads and touch screens. By completing this course, you can become skilled in the configuration and practical uses of the most popular models.    </span></p><p><span>This </span><b>HMI </b><span>course will provide invaluable competencies for the total set-up of Human Machine Interface screens, giving you the edge when it comes to industry and manufacturing roles in prominent business sectors. You will be shown a wealth of technological tips, such as connecting outputs to the HMI, programming counters, and adding screens. This is the total learning package for those that want to be at the forefront of touchscreen technology. </span></p></div>
				</div>
				</div>
				<div>
				<div>
					<div><p>This best selling <strong>HMI Panelview 800 Configuring and Programming Level 3 </strong>has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth <strong>HMI Panelview 800 Configuring and Programming Level 3 </strong>is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p>
<p>The <strong>HMI Panelview 800 Configuring and Programming Level 3 </strong>is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The <strong>HMI Panelview 800 Configuring and Programming Level 3 </strong>is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p>
<p>After successfully completing the<strong> HMI Panelview 800 Configuring and Programming Level 3</strong>, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the <strong>HMI Panelview 800 Configuring and Programming Level 3 </strong>will help you stand out from the crowd. You can also validate your certification on our website.</p>
<p>We know that you are busy and that time is precious, so we have designed the <strong>HMI Panelview 800 Configuring and Programming Level 3 </strong>to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p>
<p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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Course Overview
Master one of the most versatile operator interface options in the business when you take this training for HMI Panelview 800 Configuring and Programming Level 3. Panelview monitors have revolutionised the way in which operators use keypads and touch screens. By completing this course, you can become skilled in the configuration and practical uses of the most popular models. 
This HMI course will provide invaluable competencies for the total set-up of Human Machine Interface screens, giving you the edge when it comes to industry and manufacturing roles in prominent business sectors. You will be shown a wealth of technological tips, such as connecting outputs to the HMI, programming counters, and adding screens. This is the total learning package for those that want to be at the forefront of touchscreen technology. 
This best selling HMI Panelview 800 Configuring and Programming Level 3 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth HMI Panelview 800 Configuring and Programming Level 3 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.
The HMI Panelview 800 Configuring and Programming Level 3 is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The HMI Panelview 800 Configuring and Programming Level 3 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.
After successfully completing the HMI Panelview 800 Configuring and Programming Level 3, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the HMI Panelview 800 Configuring and Programming Level 3 will help you stand out from the crowd. You can also validate your certification on our website.
We know that you are busy and that time is precious, so we have designed the HMI Panelview 800 Configuring and Programming Level 3 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. 
Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Course Cloud

HMI Panelview 800 Configuring and Programming Level 3

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					<div><p>The comprehensive Complete SAS Programming has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Complete SAS Programming today, and learn from the very best the industry has to offer!</p></div>
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					<div><p>This best selling Complete SAS Programming has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Complete SAS Programming is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The Complete SAS Programming is CPD-accredited, so you can be confident you're completing a quality training course  will boost your CV and enhance your career potential. The Complete SAS Programming is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the Complete SAS Programming, you will be awarded a certificate of completion  as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Complete SAS Programming will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the Complete SAS Programming to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
				</div>
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The comprehensive Complete SAS Programming has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Complete SAS Programming today, and learn from the very best the industry has to offer!
This best selling Complete SAS Programming has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Complete SAS Programming is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.
The Complete SAS Programming is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Complete SAS Programming is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.
After successfully completing the Complete SAS Programming, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Complete SAS Programming will help you stand out from the crowd. You can also validate your certification on our website.
We know that you are busy and that time is precious, so we have designed the Complete SAS Programming to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. 
Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Complete SAS Programming

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					<div><p>The comprehensive Level-4 Julia Programming Course has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Level-4 Julia Programming Course today, and learn from the very best the industry has to offer!</p></div>
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					<div><p>This best selling Level-4 Julia Programming Course has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Level-4 Julia Programming Course is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The Level-4 Julia Programming Course is CPD-accredited, so you can be confident you're completing a quality training course  will boost your CV and enhance your career potential. The Level-4 Julia Programming Course is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the Level-4 Julia Programming Course, you will be awarded a certificate of completion  as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Level-4 Julia Programming Course will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the Level-4 Julia Programming Course to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.</p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p><p> </p></div>
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The comprehensive Level-4 Julia Programming Course has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Level-4 Julia Programming Course today, and learn from the very best the industry has to offer!
This best selling Level-4 Julia Programming Course has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Level-4 Julia Programming Course is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.
The Level-4 Julia Programming Course is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Level-4 Julia Programming Course is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.
After successfully completing the Level-4 Julia Programming Course, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Level-4 Julia Programming Course will help you stand out from the crowd. You can also validate your certification on our website.
We know that you are busy and that time is precious, so we have designed the Level-4 Julia Programming Course to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.
Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.
 

Level-4 Julia Programming Course

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			<h2><b>Course Overview</b></h2>		</div>
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					<div><p><span>Learn how to excel in industrial maintenance and manufacturing by taking this professional training for </span><b>VFD 120 Volt Powerflex 4M Configuring and Programming Level 2. </b><span>Variable Frequency Drives (VFD) are critical for controlling the speed of single and three-phase motors, making them fundamental to operations in many industries. You can use this advanced tuition to successfully control a VFD, utilising the functions of a  human-machine interface (HMI). </span></p><p><span>This </span><b>VFD </b><span>course will provide invaluable competencies for the wiring and practical setup for a VFD, making it quickly available for use in any mechanical infrastructure. You will be shown all aspects of wire controlling, programming, and HMI operations. This coaching is considered to be the last stage in a learning path that will make your skills complete and your knowledge invaluable in maintenance and manufacturing sectors of all types. </span></p></div>
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				<div>
					<div><p>This best selling <strong>VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 </strong>has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth <strong>VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 </strong>is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p>
<p>The <strong>VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 </strong>is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The <strong>VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 </strong>is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p>
<p>After successfully completing the<strong> VFD 120 Volt Powerflex 4M Configuring and Programming Level 2</strong>, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the <strong>VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 </strong>will help you stand out from the crowd. You can also validate your certification on our website.</p>
<p>We know that you are busy and that time is precious, so we have designed the <strong>VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 </strong>to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p>
<p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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Course Overview
Learn how to excel in industrial maintenance and manufacturing by taking this professional training for VFD 120 Volt Powerflex 4M Configuring and Programming Level 2. Variable Frequency Drives (VFD) are critical for controlling the speed of single and three-phase motors, making them fundamental to operations in many industries. You can use this advanced tuition to successfully control a VFD, utilising the functions of a human-machine interface (HMI). 
This VFD course will provide invaluable competencies for the wiring and practical setup for a VFD, making it quickly available for use in any mechanical infrastructure. You will be shown all aspects of wire controlling, programming, and HMI operations. This coaching is considered to be the last stage in a learning path that will make your skills complete and your knowledge invaluable in maintenance and manufacturing sectors of all types. 
This best selling VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.
The VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.
After successfully completing the VFD 120 Volt Powerflex 4M Configuring and Programming Level 2, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 will help you stand out from the crowd. You can also validate your certification on our website.
We know that you are busy and that time is precious, so we have designed the VFD 120 Volt Powerflex 4M Configuring and Programming Level 2 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. 
Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

VFD 120 Volt Powerflex 4M Configuring and Programming Level 2

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			<h2><b>Course Overview</b></h2>		</div>
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					<div><p><span>The Bash Scripting, Linux and Shell Programming Complete Guide has been designed by industry experts to equip learners with the knowledge and industry skills required to become a successful Shell Script Developer or Linux Engineer. This training course has no particular entry requirements, but is particularly suitable for those with some knowledge of the command line.</span></p><p><span>Through this training, you will learn the key principles of shell scripting and bash programming for a variety of operating systems. It will guide you through how to create complex scripts that take advantage of advanced bash features, automate routine tasks using shell scripts, debug a shell script, and carry out other procedures.</span></p><p><span>By the end of this course, you will have the ability to write bash scripts that solve real-world problems, fix scripting errors, process command line arguments, and much more.</span></p></div>
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					<div><p>This best selling <strong>Bash Scripting, Linux and Shell Programming Complete Guide </strong>has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth <strong>Bash Scripting, Linux and Shell Programming Complete Guide </strong>is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The <strong>Bash Scripting, Linux and Shell Programming Complete Guide </strong>is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The <strong>Bash Scripting, Linux and Shell Programming Complete Guide </strong>is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the<strong> Bash Scripting, Linux and Shell Programming Complete Guide</strong>, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the <strong>Bash Scripting, Linux and Shell Programming Complete Guide </strong>will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the <strong>Bash Scripting, Linux and Shell Programming Complete Guide </strong>to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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Course Overview
The Bash Scripting, Linux and Shell Programming Complete Guide has been designed by industry experts to equip learners with the knowledge and industry skills required to become a successful Shell Script Developer or Linux Engineer. This training course has no particular entry requirements, but is particularly suitable for those with some knowledge of the command line.
Through this training, you will learn the key principles of shell scripting and bash programming for a variety of operating systems. It will guide you through how to create complex scripts that take advantage of advanced bash features, automate routine tasks using shell scripts, debug a shell script, and carry out other procedures.
By the end of this course, you will have the ability to write bash scripts that solve real-world problems, fix scripting errors, process command line arguments, and much more.
This best selling Bash Scripting, Linux and Shell Programming Complete Guide has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Bash Scripting, Linux and Shell Programming Complete Guide is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.
The Bash Scripting, Linux and Shell Programming Complete Guide is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Bash Scripting, Linux and Shell Programming Complete Guide is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.
After successfully completing the Bash Scripting, Linux and Shell Programming Complete Guide, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Bash Scripting, Linux and Shell Programming Complete Guide will help you stand out from the crowd. You can also validate your certification on our website.
We know that you are busy and that time is precious, so we have designed the Bash Scripting, Linux and Shell Programming Complete Guide to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. 
Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Bash Scripting, Linux and Shell Programming Complete Guide

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					<div><p>The comprehensive Bash Shell Scripting Level 4 has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Bash Shell Scripting Level 4 today, and learn from the very best the industry has to offer!</p></div>
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					<div><p>This best selling Bash Shell Scripting Level 4 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Bash Shell Scripting Level 4 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The Bash Shell Scripting Level 4 is CPD-accredited, so you can be confident you're completing a quality training course  will boost your CV and enhance your career potential. The Bash Shell Scripting Level 4 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the Bash Shell Scripting Level 4, you will be awarded a certificate of completion  as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Bash Shell Scripting Level 4 will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the Bash Shell Scripting Level 4 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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The comprehensive Bash Shell Scripting Level 4 has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Bash Shell Scripting Level 4 today, and learn from the very best the industry has to offer!
This best selling Bash Shell Scripting Level 4 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Bash Shell Scripting Level 4 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.
The Bash Shell Scripting Level 4 is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Bash Shell Scripting Level 4 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.
After successfully completing the Bash Shell Scripting Level 4, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Bash Shell Scripting Level 4 will help you stand out from the crowd. You can also validate your certification on our website.
We know that you are busy and that time is precious, so we have designed the Bash Shell Scripting Level 4 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. 
Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Bash Shell Scripting Level 4

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			<h2><b>Course Overview</b></h2>		</div>
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					<div><p><span>Learn how to be a professional coder and construct any kind of GUI application for commercial or personal use with this introductory </span><b>Java AWT Programming Project </b><span>course. Java has the best built-in support functions for GUI programming, and AWT (Abstract Window Toolkit) allows for the speedy construction of window-based applications. Using the knowledge gained here, you will be able to master one of the most powerful programming languages ââin current use and apply those principles to other forms of coding and design.    </span></p><p><span>This </span><b>Java Programming </b><span>tutorial contains ten sections of easy-to-understand information that will take you from being a programming novice to a coding completist. You will be taught the basic principles of Java before being shown how to create menu bars, mouse listening events, and checkbox groups. This all leads to you constructing a practical calendar application to demonstrate your gained programming abilities. By mastering Java, you will open new doors in the IT industry and increase your career potential in a computing career.    </span></p></div>
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					<div><p>This best selling <strong>Java AWT Programming Project </strong>has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth <strong>Java AWT Programming Project </strong>is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p>
<p>The <strong>Java AWT Programming Project </strong>is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The <strong>Java AWT Programming Project </strong>is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p>
<p>After successfully completing the<strong> Java AWT Programming Project</strong>, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the <strong>Java AWT Programming Project </strong>will help you stand out from the crowd. You can also validate your certification on our website.</p>
<p>We know that you are busy and that time is precious, so we have designed the <strong>Java AWT Programming Project </strong>to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p>
<p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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Course Overview
Learn how to be a professional coder and construct any kind of GUI application for commercial or personal use with this introductory Java AWT Programming Project course. Java has the best built-in support functions for GUI programming, and AWT (Abstract Window Toolkit) allows for the speedy construction of window-based applications. Using the knowledge gained here, you will be able to master one of the most powerful programming languages ââin current use and apply those principles to other forms of coding and design. 
This Java Programming tutorial contains ten sections of easy-to-understand information that will take you from being a programming novice to a coding completist. You will be taught the basic principles of Java before being shown how to create menu bars, mouse listening events, and checkbox groups. This all leads to you constructing a practical calendar application to demonstrate your gained programming abilities. By mastering Java, you will open new doors in the IT industry and increase your career potential in a computing career. 
This best selling Java AWT Programming Project has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Java AWT Programming Project is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.
The Java AWT Programming Project is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Java AWT Programming Project is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.
After successfully completing the Java AWT Programming Project, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Java AWT Programming Project will help you stand out from the crowd. You can also validate your certification on our website.
We know that you are busy and that time is precious, so we have designed the Java AWT Programming Project to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. 
Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

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