Name: Programming in HTML5 with CSS
Price: 3697 GBP
Availability: InStock

<div id="course-pills-1">Duration<p>1 Days</p><p>6 CPD hours</p>This course is intended for<p>Developers</p>Overview<p>The basics of and motivation for using the functional programming paradigmFeatures of the Scala languageWorking with variables in ScalaUsing Scala collectionsControlling code flow in ScalaImporting and using Scala code libraries</p><p>Scala training course will teach students the key language concepts and programming techniques, essential for students to focus on the covered subjects without having to also learn a complex programming language at the same time.</p></div><div id="course-pills-2"><h4>Scala Basics</h4><ul><li>Scala Background Information</li><li>Key Scala Concepts</li><li>Programming in Scala</li></ul><h4>Variables</h4><ul><li>Scala Variables</li><li>Numerical</li><li>Boolean</li><li>String</li></ul><h4>Collections</h4><ul><li>Tuples</li><li>The Collections Hierarchy</li><li>Sets</li><li>Lists</li><li>Arrays</li><li>Maps</li><li>Common Conversions</li></ul><h4>Flow Control</h4><ul><li>Looping</li><li>Iterators</li><li>Functions</li><li>Passing Functions</li><li>Collection Iteration Methods</li><li>Pattern Matching</li></ul><h4>Libraries</h4><ul><li>Classes and Objects</li><li>Packages</li><li>Import</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Just Enough Scala training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Just Enough Scala course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Duration
1 Days
6 CPD hours
This course is intended for
Developers
Overview
The basics of and motivation for using the functional programming paradigmFeatures of the Scala languageWorking with variables in ScalaUsing Scala collectionsControlling code flow in ScalaImporting and using Scala code libraries
Scala training course will teach students the key language concepts and programming techniques, essential for students to focus on the covered subjects without having to also learn a complex programming language at the same time.
Scala Basics
Scala Background Information
Key Scala Concepts
Programming in Scala
Variables
Scala Variables
Numerical
Boolean
String
Collections
Tuples
The Collections Hierarchy
Sets
Lists
Arrays
Maps
Common Conversions
Flow Control
Looping
Iterators
Functions
Passing Functions
Collection Iteration Methods
Pattern Matching
Libraries
Classes and Objects
Packages
Import
Additional course details:
Nexus Humans Just Enough Scala training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. 

This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.

Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.

While we feel this is the best course for the Just Enough Scala course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.

Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.


Nexus Human

Learning & Development

Service Design Courses (SDC)

Trainers Course

Just Enough Scala

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class.</p>Overview<p>Working in a hands-on learning environment led by our expert instructor you'll:<br />Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills.<br />Discover the power of functional programming and learn techniques that will make your code more efficient,maintainable, and enjoyable to write.<br />Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library.<br />Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance.<br />Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process.<br />Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects,adding a touch of innovation and intelligence to your Scala solutions.<br />If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals.</p><p>Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects.</p></div><div id="course-pills-2"><h4>Introduction to Scala</h4><ul><li>Scala features and benefits</li><li>Comparing Scala with Java and other OO languages</li><li>Installing Scala and setting up the development environment</li></ul><h4>Object-Oriented Programming in Scala</h4><ul><li>Classes and objects</li><li>Traits, mixins, and inheritance</li><li>Companion objects and factories</li><li>Encapsulation and polymorphism</li></ul><h4>Functional Programming Basics</h4><ul><li>Pure functions and referential transparency</li><li>Higher-order functions and currying</li><li>Immutability and persistent data structures</li><li>Pattern matching and recursion</li></ul><h4>Having Fun with Functional Data Structures</h4><ul><li>Lists, sets, and maps in Scala</li><li>Folding and reducing operations</li><li>Stream processing and lazy evaluation For-comprehensions</li></ul><h4>Building Web Applications in Functional Style</h4><ul><li>Introduction to Play Framework</li><li>Functional web routing and request handling</li><li>JSON handling with Play-JSON</li><li>Middleware and functional composition</li></ul><h4>Connecting to a Database</h4><ul><li>Introduction to Slick library</li><li>Database configuration and setup</li><li>Querying and updating with Slick</li><li>Transactions and error handling</li></ul><h4>Building Scalable and Extensible Components </h4><ul><li>Modular architecture and design patterns<br />Dependency injection with MacWire<br />Type classes and type-level programming<br />Implicit parameters and conversions</li></ul><h4>Concurrency Programming &amp; Akka</h4><ul><li>Introduction to Akka framework and Actor model</li><li>Actor systems and message passing</li><li>Futures and Promises</li><li>Supervision and fault tolerance</li><li></li></ul><h4>Building Confidence with Testing</h4><ul><li>Introduction to ScalaTest and ScalaCheck</li><li>Unit testing and property-based testing</li><li>Test-driven development in Scala</li><li>Mocking and integration testing</li><li></li></ul><h4>Interoperability between Scala and Java</h4><ul><li>Calling Java code from Scala</li><li>Using Java libraries in Scala projects</li><li>Converting Java collections to Scala collections</li><li>Writing Scala code that can be called from Java</li></ul><h4>Using Generative AI and GPT</h4><ul><li>Technologies in Scala Programming</li><li>Overview of GPT and generative AI</li><li>Integrating GPT with Scala applications</li><li>Use cases and practical examples</li></ul></div>

Duration
4 Days
24 CPD hours
This course is intended for
This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class.
Overview
Working in a hands-on learning environment led by our expert instructor you'll:
Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills.
Discover the power of functional programming and learn techniques that will make your code more efficient,maintainable, and enjoyable to write.
Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library.
Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance.
Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process.
Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects,adding a touch of innovation and intelligence to your Scala solutions.
If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals.
Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects.
Introduction to Scala
Scala features and benefits
Comparing Scala with Java and other OO languages
Installing Scala and setting up the development environment
Object-Oriented Programming in Scala
Classes and objects
Traits, mixins, and inheritance
Companion objects and factories
Encapsulation and polymorphism
Functional Programming Basics
Pure functions and referential transparency
Higher-order functions and currying
Immutability and persistent data structures
Pattern matching and recursion
Having Fun with Functional Data Structures
Lists, sets, and maps in Scala
Folding and reducing operations
Stream processing and lazy evaluation For-comprehensions
Building Web Applications in Functional Style
Introduction to Play Framework
Functional web routing and request handling
JSON handling with Play-JSON
Middleware and functional composition
Connecting to a Database
Introduction to Slick library
Database configuration and setup
Querying and updating with Slick
Transactions and error handling
Building Scalable and Extensible Components
Modular architecture and design patterns
Dependency injection with MacWire
Type classes and type-level programming
Implicit parameters and conversions
Concurrency Programming & Akka
Introduction to Akka framework and Actor model
Actor systems and message passing
Futures and Promises
Supervision and fault tolerance

Building Confidence with Testing
Introduction to ScalaTest and ScalaCheck
Unit testing and property-based testing
Test-driven development in Scala
Mocking and integration testing

Interoperability between Scala and Java
Calling Java code from Scala
Using Java libraries in Scala projects
Converting Java collections to Scala collections
Writing Scala code that can be called from Java
Using Generative AI and GPT
Technologies in Scala Programming
Overview of GPT and generative AI
Integrating GPT with Scala applications
Use cases and practical examples

Scala

Java

Programming Fundamentals

Programming Languages

Software Development

Fast Track to Scala Programming for OO / Java Developers (TTSCL2104)

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class.</p>Overview<p>Working in a hands-on learning environment led by our expert instructor you'll:<br />Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills.<br />Discover the power of functional programming and learn techniques that will make your code more efficient, maintainable, and enjoyable to write.<br />Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library.<br />Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance.<br />Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process.<br />Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects, adding a touch of innovation and intelligence to your Scala solutions.<br />If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals.</p><p>Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects.</p></div><div id="course-pills-2"><h4>Introduction to Scala </h4><ul><li>Scala features and benefits </li><li>Comparing Scala with Java and other OO languages </li><li>Installing Scala and setting up the development environment </li></ul><h4>Object-Oriented Programming in Scala</h4><ul><li>Classes and objects </li><li>Traits, mixins, and inheritance </li><li>Companion objects and factories </li><li>Encapsulation and polymorphism </li></ul><h4>Functional Programming Basics</h4><ul><li>Pure functions and referential transparency </li><li>Higher-order functions and currying </li><li>Immutability and persistent data structures </li><li>Pattern matching and recursion </li></ul><h4>Having Fun with Functional Data Structures </h4><ul><li>Lists, sets, and maps in Scala </li><li>Folding and reducing operations </li><li>Stream processing and lazy evaluation </li><li>For-comprehensions </li></ul><h4>Building Web Applications in Functional Style</h4><ul><li>Introduction to Play Framework </li><li>Functional web routing and request handling </li><li>JSON handling with Play-JSON Middleware and functional composition </li></ul><h4>Connecting to a Database</h4><ul><li>Introduction to Slick library </li><li>Database configuration and setup </li><li>Querying and updating with Slick </li><li>Transactions and error handling</li></ul><h4>Building Scalable and Extensible Components</h4><ul><li>Modular architecture and design patterns </li><li>Dependency injection with MacWire </li><li>Type classes and type-level programming </li><li>Implicit parameters and conversions</li></ul><h4>Concurrency Programming &amp; Akka </h4><ul><li>Introduction to Akka framework and Actor model </li><li>Actor systems and message passing </li><li>Futures and Promises </li><li>Supervision and fault tolerance </li></ul><h4>Building Confidence with Testing </h4><ul><li>Introduction to ScalaTest and ScalaCheck </li><li>Unit testing and property-based testing </li><li>Test-driven development in Scala </li><li>Mocking and integration testing</li></ul><h4>Interoperability between Scala and Java</h4><ul><li>Calling Java code from Scala </li><li>Using Java libraries in Scala projects </li><li>Converting Java collections to Scala collections </li><li>Writing Scala code that can be called from Java </li></ul><h4>Using Generative AI and GPT Technologies in Scala Programming</h4><ul><li>Overview of GPT and generative AI </li><li>Integrating GPT with Scala applications </li><li>Use cases and practical examples</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Fast Track to Scala Programming Essentials for OO / Java Developers  (TTSCL2104) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Fast Track to Scala Programming Essentials for OO / Java Developers  (TTSCL2104) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Duration
4 Days
24 CPD hours
This course is intended for
This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class.
Overview
Working in a hands-on learning environment led by our expert instructor you'll:
Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills.
Discover the power of functional programming and learn techniques that will make your code more efficient, maintainable, and enjoyable to write.
Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library.
Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance.
Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process.
Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects, adding a touch of innovation and intelligence to your Scala solutions.
If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals.
Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects.
Introduction to Scala
Scala features and benefits
Comparing Scala with Java and other OO languages
Installing Scala and setting up the development environment
Object-Oriented Programming in Scala
Classes and objects
Traits, mixins, and inheritance
Companion objects and factories
Encapsulation and polymorphism
Functional Programming Basics
Pure functions and referential transparency
Higher-order functions and currying
Immutability and persistent data structures
Pattern matching and recursion
Having Fun with Functional Data Structures
Lists, sets, and maps in Scala
Folding and reducing operations
Stream processing and lazy evaluation
For-comprehensions
Building Web Applications in Functional Style
Introduction to Play Framework
Functional web routing and request handling
JSON handling with Play-JSON Middleware and functional composition
Connecting to a Database
Introduction to Slick library
Database configuration and setup
Querying and updating with Slick
Transactions and error handling
Building Scalable and Extensible Components
Modular architecture and design patterns
Dependency injection with MacWire
Type classes and type-level programming
Implicit parameters and conversions
Concurrency Programming & Akka
Introduction to Akka framework and Actor model
Actor systems and message passing
Futures and Promises
Supervision and fault tolerance
Building Confidence with Testing
Introduction to ScalaTest and ScalaCheck
Unit testing and property-based testing
Test-driven development in Scala
Mocking and integration testing
Interoperability between Scala and Java
Calling Java code from Scala
Using Java libraries in Scala projects
Converting Java collections to Scala collections
Writing Scala code that can be called from Java
Using Generative AI and GPT Technologies in Scala Programming
Overview of GPT and generative AI
Integrating GPT with Scala applications
Use cases and practical examples
Additional course details:
Nexus Humans Fast Track to Scala Programming Essentials for OO / Java Developers (TTSCL2104) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. 

This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.

Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.

While we feel this is the best course for the Fast Track to Scala Programming Essentials for OO / Java Developers (TTSCL2104) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.

Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.


Computing Skills

Fast Track to Scala Programming Essentials for OO / Java Developers  (TTSCL2104)

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs.</p>Overview<p>Working in a hands-on learning environment led by our expert instructor you'll:<br />Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications.<br />Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions.<br />Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications.<br />Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights.<br />Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data.<br />Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis.</p><p>Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems.</p></div><div id="course-pills-2"><h4>Introduction to Scala</h4><ul><li>Brief history and motivation</li><li>Differences between Scala and Java</li><li>Basic Scala syntax and constructs</li><li>Scala's functional programming features</li></ul><h4>Introduction to Apache Spark</h4><ul><li>Overview and history</li><li>Spark components and architecture</li><li>Spark ecosystem</li><li>Comparing Spark with other big data frameworks</li></ul><h4>Basics of Spark Programming SparkContext and SparkSession</h4><ul><li>Resilient Distributed Datasets (RDDs)</li><li>Transformations and Actions</li><li>Working with DataFrames</li></ul><h4>Spark SQL and Data Sources</h4><ul><li>Spark SQL library and its advantages</li><li>Structured and semi-structured data sources</li><li>Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.)</li><li>Data manipulation using SQL queries</li></ul><h4>Basic RDD Operations</h4><ul><li>Creating and manipulating RDDs</li><li>Common transformations and actions on RDDs</li><li>Working with key-value data</li></ul><h4>Basic DataFrame and Dataset Operations</h4><ul><li>Creating and manipulating DataFrames and Datasets</li><li>Column operations and functions</li><li>Filtering, sorting, and aggregating data</li></ul><h4>Introduction to Spark Streaming</h4><ul><li>Overview of Spark Streaming</li><li>Discretized Stream (DStream) operations</li><li>Windowed operations and stateful processing</li></ul><h4>Performance Optimization Basics</h4><ul><li>Best practices for efficient Spark code</li><li>Broadcast variables and accumulators</li><li>Monitoring Spark applications</li></ul><h4>Integrating External Libraries and Tools, Spark Streaming</h4><ul><li>Using popular external libraries, such as Hadoop and HBase</li><li>Integrating with cloud platforms: AWS, Azure, GCP</li><li>Connecting to data storage systems: HDFS, S3, Cassandra, etc.</li></ul><h4>Introduction to Machine Learning Basics</h4><ul><li>Overview of machine learning</li><li>Supervised and unsupervised learning</li><li>Common algorithms and use cases</li></ul><h4>Introduction to Spark MLlib</h4><ul><li>Overview of Spark MLlib</li><li>MLlib's algorithms and utilities</li><li>Data preparation and feature extraction</li></ul><h4>Linear Regression and Classification</h4><ul><li>Linear regression algorithm</li><li>Logistic regression for classification</li><li>Model evaluation and performance metrics</li></ul><h4>Clustering Algorithms</h4><ul><li>Overview of clustering algorithms</li><li>K-means clustering</li><li>Model evaluation and performance metrics</li></ul><h4>Collaborative Filtering and Recommendation Systems</h4><ul><li>Overview of recommendation systems</li><li>Collaborative filtering techniques</li><li>Implementing recommendations with Spark MLlib</li></ul><h4>Introduction to Graph Processing</h4><ul><li>Overview of graph processing</li><li>Use cases and applications of graph processing</li><li>Graph representations and operations</li><li>Introduction to Spark GraphX</li><li>Overview of GraphX</li><li>Creating and transforming graphs</li><li>Graph algorithms in GraphX</li></ul><h4>Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala</h4><ul><li>Overview of generative AI technologies</li><li>Integrating GPT with Spark and Scala</li><li>Practical applications and use cases Bonus Topics / Time Permitting</li></ul><h4>Introduction to Spark NLP</h4><ul><li>Overview of Spark NLP Preprocessing text data</li><li>Text classification and sentiment analysis</li></ul><h4>Putting It All Together</h4><ul><li>Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.</li></ul></div>

Duration
5 Days
30 CPD hours
This course is intended for
This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs.
Overview
Working in a hands-on learning environment led by our expert instructor you'll:
Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications.
Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions.
Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications.
Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights.
Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data.
Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis.
Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems.
Introduction to Scala
Brief history and motivation
Differences between Scala and Java
Basic Scala syntax and constructs
Scala's functional programming features
Introduction to Apache Spark
Overview and history
Spark components and architecture
Spark ecosystem
Comparing Spark with other big data frameworks
Basics of Spark Programming SparkContext and SparkSession
Resilient Distributed Datasets (RDDs)
Transformations and Actions
Working with DataFrames
Spark SQL and Data Sources
Spark SQL library and its advantages
Structured and semi-structured data sources
Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.)
Data manipulation using SQL queries
Basic RDD Operations
Creating and manipulating RDDs
Common transformations and actions on RDDs
Working with key-value data
Basic DataFrame and Dataset Operations
Creating and manipulating DataFrames and Datasets
Column operations and functions
Filtering, sorting, and aggregating data
Introduction to Spark Streaming
Overview of Spark Streaming
Discretized Stream (DStream) operations
Windowed operations and stateful processing
Performance Optimization Basics
Best practices for efficient Spark code
Broadcast variables and accumulators
Monitoring Spark applications
Integrating External Libraries and Tools, Spark Streaming
Using popular external libraries, such as Hadoop and HBase
Integrating with cloud platforms: AWS, Azure, GCP
Connecting to data storage systems: HDFS, S3, Cassandra, etc.
Introduction to Machine Learning Basics
Overview of machine learning
Supervised and unsupervised learning
Common algorithms and use cases
Introduction to Spark MLlib
Overview of Spark MLlib
MLlib's algorithms and utilities
Data preparation and feature extraction
Linear Regression and Classification
Linear regression algorithm
Logistic regression for classification
Model evaluation and performance metrics
Clustering Algorithms
Overview of clustering algorithms
K-means clustering
Model evaluation and performance metrics
Collaborative Filtering and Recommendation Systems
Overview of recommendation systems
Collaborative filtering techniques
Implementing recommendations with Spark MLlib
Introduction to Graph Processing
Overview of graph processing
Use cases and applications of graph processing
Graph representations and operations
Introduction to Spark GraphX
Overview of GraphX
Creating and transforming graphs
Graph algorithms in GraphX
Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala
Overview of generative AI technologies
Integrating GPT with Spark and Scala
Practical applications and use cases Bonus Topics / Time Permitting
Introduction to Spark NLP
Overview of Spark NLP Preprocessing text data
Text classification and sentiment analysis
Putting It All Together
Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.

Pyspark

Data Engineering

Apache Spark

Big Data Analytics

Data Science

Data Skills

Mastering Scala with Apache Spark for the Modern Data Enterprise (TTSK7520)

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course</p>Overview<p>Working in a hands-on learning environment led by our expert instructor you'll:<br />Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations.<br />Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects.<br />Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models<br />Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition.<br />Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer.<br />Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease.<br />Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation.</p><p>Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions.</p></div><div id="course-pills-2"><h4>Introduction to Machine</h4><ul><li>Learning and Scala </li><li>Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. </li><li>What is Machine Learning? </li><li>Machine Learning with Scala: Advantages and Use Cases</li></ul><h4>Supervised Learning in Scala</h4><ul><li>Learn the basics of supervised learning and how to apply it using Scala. </li><li>Supervised Learning: Regression and Classification</li><li>Linear Regression in Scala </li><li>Logistic Regression in Scala </li></ul><h4>Unsupervised Learning in Scala</h4><ul><li>Understand unsupervised learning and how to apply it using Scala. </li><li>Unsupervised Learning:Clustering and Dimensionality Reduction </li><li>K-means Clustering in Scala </li><li>Principal Component Analysis in Scala </li></ul><h4>Neural Networks and Deep Learning in Scala</h4><ul><li>Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. </li><li>Introduction to Neural Networks </li><li>Feedforward Neural Networks in Scala </li><li>Deep Learning and Convolutional Neural Networks</li></ul><h4>Introduction to Generative AI and GPT in Scala</h4><ul><li>Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. </li><li>Generative AI: Overview and Use Cases </li><li>Introduction to GPT (Generative Pre-trained Transformer) </li><li>GPT-Scala: A Library for GPT in Scala</li></ul><h4>Reinforcement Learning in Scala</h4><ul><li>Understand the basics of reinforcement learning and its implementation in Scala. </li><li>Introduction to Reinforcement Learning </li><li>Q-learning and Value Iteration </li><li>Reinforcement Learning with Scala</li></ul><h4>Time Series Analysis using Scala</h4><ul><li>Learn time series analysis techniques and how to apply them in Scala. </li><li>Introduction to Time Series Analysis </li><li>Autoregressive Integrated Moving Average (ARIMA) Models </li><li>Time Series Analysis in Scala </li></ul><h4>Natural Language Processing (NLP) with Scala </h4><ul><li>Gain an understanding of natural language processing techniques and their application in Scala. </li><li>Introduction to NLP: Techniques and Applications </li><li>Text Processing and Feature Extraction </li><li>NLP Libraries and Tools for Scala</li></ul><h4>Image Processing and Computer Vision with Scala </h4><ul><li>Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. </li><li>Introduction to Image Processing and Computer Vision </li><li>Feature Extraction and Image Classification </li><li>Image Processing Libraries for Scala</li></ul><h4>Model Evaluation and Validation</h4><ul><li>Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. </li><li>Model Evaluation Metrics </li><li>Cross-Validation Techniques </li><li>Model Selection and Tuning in Scala</li></ul><h4>Scalable Machine Learning with Scala</h4><ul><li>Learn how to handle large-scale machine learning problems using Scala. </li><li>Challenges of Large-Scale Machine Learning </li><li>Data Partitioning and Parallelization </li><li>Distributed Machine Learning with Scala</li></ul><h4>Machine Learning Deployment and Production</h4><ul><li>Understand the process of deploying machine learning models into production using Scala. </li><li>Deployment Challenges and Best Practices </li><li>Model Serialization and Deserialization </li><li>Monitoring and Updating Models in Production</li></ul><h4>Ensemble Learning Techniques in Scala</h4><ul><li>Discover ensemble learning techniques and their implementation in Scala. </li><li>Introduction to Ensemble Learning </li><li>Bagging and Boosting Techniques </li><li>Implementing Ensemble Models in Scala</li></ul><h4>Feature Engineering for Machine Learning in Scala</h4><ul><li>Learn advanced feature engineering techniques to improve machine learning model performance in Scala. </li><li>Importance of Feature Engineering in Machine Learning </li><li>Feature Scaling and Normalization Techniques </li><li>Handling Missing Data and Categorical Features</li></ul><h4>Advanced Optimization Techniques for Machine Learning</h4><ul><li>Understand advanced optimization techniques for machine learning models and their application in Scala. </li><li>Gradient Descent and Variants </li><li>Regularization Techniques (L1 and L2) </li><li>Hyperparameter Tuning Strategies</li></ul></div>

Duration
3 Days
18 CPD hours
This course is intended for
This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course
Overview
Working in a hands-on learning environment led by our expert instructor you'll:
Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations.
Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects.
Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models
Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition.
Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer.
Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease.
Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation.
Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions.
Introduction to Machine
Learning and Scala
Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain.
What is Machine Learning?
Machine Learning with Scala: Advantages and Use Cases
Supervised Learning in Scala
Learn the basics of supervised learning and how to apply it using Scala.
Supervised Learning: Regression and Classification
Linear Regression in Scala
Logistic Regression in Scala
Unsupervised Learning in Scala
Understand unsupervised learning and how to apply it using Scala.
Unsupervised Learning:Clustering and Dimensionality Reduction
K-means Clustering in Scala
Principal Component Analysis in Scala
Neural Networks and Deep Learning in Scala
Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala.
Introduction to Neural Networks
Feedforward Neural Networks in Scala
Deep Learning and Convolutional Neural Networks
Introduction to Generative AI and GPT in Scala
Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks.
Generative AI: Overview and Use Cases
Introduction to GPT (Generative Pre-trained Transformer)
GPT-Scala: A Library for GPT in Scala
Reinforcement Learning in Scala
Understand the basics of reinforcement learning and its implementation in Scala.
Introduction to Reinforcement Learning
Q-learning and Value Iteration
Reinforcement Learning with Scala
Time Series Analysis using Scala
Learn time series analysis techniques and how to apply them in Scala.
Introduction to Time Series Analysis
Autoregressive Integrated Moving Average (ARIMA) Models
Time Series Analysis in Scala
Natural Language Processing (NLP) with Scala
Gain an understanding of natural language processing techniques and their application in Scala.
Introduction to NLP: Techniques and Applications
Text Processing and Feature Extraction
NLP Libraries and Tools for Scala
Image Processing and Computer Vision with Scala
Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala.
Introduction to Image Processing and Computer Vision
Feature Extraction and Image Classification
Image Processing Libraries for Scala
Model Evaluation and Validation
Understand the importance of model evaluation and validation, and how to apply these concepts using Scala.
Model Evaluation Metrics
Cross-Validation Techniques
Model Selection and Tuning in Scala
Scalable Machine Learning with Scala
Learn how to handle large-scale machine learning problems using Scala.
Challenges of Large-Scale Machine Learning
Data Partitioning and Parallelization
Distributed Machine Learning with Scala
Machine Learning Deployment and Production
Understand the process of deploying machine learning models into production using Scala.
Deployment Challenges and Best Practices
Model Serialization and Deserialization
Monitoring and Updating Models in Production
Ensemble Learning Techniques in Scala
Discover ensemble learning techniques and their implementation in Scala.
Introduction to Ensemble Learning
Bagging and Boosting Techniques
Implementing Ensemble Models in Scala
Feature Engineering for Machine Learning in Scala
Learn advanced feature engineering techniques to improve machine learning model performance in Scala.
Importance of Feature Engineering in Machine Learning
Feature Scaling and Normalization Techniques
Handling Missing Data and Categorical Features
Advanced Optimization Techniques for Machine Learning
Understand advanced optimization techniques for machine learning models and their application in Scala.
Gradient Descent and Variants
Regularization Techniques (L1 and L2)
Hyperparameter Tuning Strategies

Machine Learning (ML)

Learning To Learn

Unsupervised Machine Learning

Azure Machine Learning

Deep Learning

Machine Learning Essentials for Scala Developers (TTML5506-S)

<div id="course-pills-1">Duration<p>1 Days</p><p>6 CPD hours</p>This course is intended for<p>This course is intended for:<br />Data platform engineers<br />Architects and operators who build and manage data analytics pipelines</p>Overview<p>In this course, you will learn to:<br />Compare the features and benefits of data warehouses, data lakes, and modern data architectures<br />Design and implement a batch data analytics solution<br />Identify and apply appropriate techniques, including compression, to optimize data storage<br />Select and deploy appropriate options to ingest, transform, and store data<br />Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case<br />Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights<br />Secure data at rest and in transit<br />Monitor analytics workloads to identify and remediate problems<br />Apply cost management best practices</p><p>In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR.</p></div><div id="course-pills-2"><h4>Module A: Overview of Data Analytics and the Data Pipeline</h4><ul><li>Data analytics use cases</li><li>Using the data pipeline for analytics</li></ul><h4>Module 1: Introduction to Amazon EMR</h4><ul><li>Using Amazon EMR in analytics solutions</li><li>Amazon EMR cluster architecture</li><li>Interactive Demo 1: Launching an Amazon EMR cluster</li><li>Cost management strategies</li></ul><h4>Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage</h4><ul><li>Storage optimization with Amazon EMR</li><li>Data ingestion techniques</li></ul><h4>Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR</h4><ul><li>Apache Spark on Amazon EMR use cases</li><li>Why Apache Spark on Amazon EMR</li><li>Spark concepts</li><li>Interactive Demo 2: Connect to an EMR cluster and perform Scala commands using the Spark shell</li><li>Transformation, processing, and analytics</li><li>Using notebooks with Amazon EMR</li><li>Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR</li></ul><h4>Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive</h4><ul><li>Using Amazon EMR with Hive to process batch data</li><li>Transformation, processing, and analytics</li><li>Practice Lab 2: Batch data processing using Amazon EMR with Hive</li><li>Introduction to Apache HBase on Amazon EMR</li></ul><h4>Module 5: Serverless Data Processing</h4><ul><li>Serverless data processing, transformation, and analytics</li><li>Using AWS Glue with Amazon EMR workloads</li><li>Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions</li></ul><h4>Module 6: Security and Monitoring of Amazon EMR Clusters</h4><ul><li>Securing EMR clusters</li><li>Interactive Demo 3: Client-side encryption with EMRFS</li><li>Monitoring and troubleshooting Amazon EMR clusters</li><li>Demo: Reviewing Apache Spark cluster history</li></ul><h4>Module 7: Designing Batch Data Analytics Solutions</h4><ul><li>Batch data analytics use cases</li><li>Activity: Designing a batch data analytics workflow</li></ul><h4>Module B: Developing Modern Data Architectures on AWS</h4><ul><li>Modern data architectures</li></ul></div>

Duration
1 Days
6 CPD hours
This course is intended for
This course is intended for:
Data platform engineers
Architects and operators who build and manage data analytics pipelines
Overview
In this course, you will learn to:
Compare the features and benefits of data warehouses, data lakes, and modern data architectures
Design and implement a batch data analytics solution
Identify and apply appropriate techniques, including compression, to optimize data storage
Select and deploy appropriate options to ingest, transform, and store data
Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case
Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights
Secure data at rest and in transit
Monitor analytics workloads to identify and remediate problems
Apply cost management best practices
In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR.
Module A: Overview of Data Analytics and the Data Pipeline
Data analytics use cases
Using the data pipeline for analytics
Module 1: Introduction to Amazon EMR
Using Amazon EMR in analytics solutions
Amazon EMR cluster architecture
Interactive Demo 1: Launching an Amazon EMR cluster
Cost management strategies
Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage
Storage optimization with Amazon EMR
Data ingestion techniques
Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR
Apache Spark on Amazon EMR use cases
Why Apache Spark on Amazon EMR
Spark concepts
Interactive Demo 2: Connect to an EMR cluster and perform Scala commands using the Spark shell
Transformation, processing, and analytics
Using notebooks with Amazon EMR
Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR
Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive
Using Amazon EMR with Hive to process batch data
Transformation, processing, and analytics
Practice Lab 2: Batch data processing using Amazon EMR with Hive
Introduction to Apache HBase on Amazon EMR
Module 5: Serverless Data Processing
Serverless data processing, transformation, and analytics
Using AWS Glue with Amazon EMR workloads
Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions
Module 6: Security and Monitoring of Amazon EMR Clusters
Securing EMR clusters
Interactive Demo 3: Client-side encryption with EMRFS
Monitoring and troubleshooting Amazon EMR clusters
Demo: Reviewing Apache Spark cluster history
Module 7: Designing Batch Data Analytics Solutions
Batch data analytics use cases
Activity: Designing a batch data analytics workflow
Module B: Developing Modern Data Architectures on AWS
Modern data architectures

Business Analytics & Intelligence

Excel Analytics

AWS (Amazon Web Services)

Building Batch Data Analytics Solutions on AWS

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>Tier 1 Operators, administrators, and architects for VMware Horizon</p>Overview<p>By the end of the course, you should be able to meet the following objectives:<br />Recognize the features and benefits of VMware Horizon<br />Define a use case for your virtual desktop and application infrastructure<br />Use vSphere to create VMs to be used as desktops for VMware Horizon<br />Create and optimize Windows VMs to create VMware Horizon desktops<br />Install and Configure Horizon Agent on a VMware Horizon desktop<br />Configure, manage, and entitle desktop pools of full VMs<br />Configure and manage the VMware Horizon Client systems and connect the client to a VMware Horizon desktop<br />Configure, manage, and entitle pools of instant-clone desktops<br />Create and use Remote Desktop Services (RDS) desktops and application pools<br />Monitor the VMware Horizon environment using the VMware Horizon Console Dashboard and Horizon Help Desk Tool<br />Identify VMware Horizon Connection Server installation, architecture, and requirements<br />Describe the authentication and certificate options for the VMware Horizon environment<br />Recognize the integration process and benefits of Workspace ONE Accessâ¢ and Horizon 8<br />Compare the remote display protocols that are available in VMware Horizon<br />Describe the 3D rendering options available in Horizon 8<br />Discuss scalability options available in Horizon 8<br />Describe different security options for the Horizon environment</p><p>This five-day course gives you the hands-on skills to deliver virtual desktops and applications through a single virtual desktop infrastructure platform. You build on your skills in configuring and managing VMware HorizonÂ© 8 through a combination of lecture and hands-on labs. You learn how to configure and deploy pools of virtual machines and how to provide a customized desktop environment to end-users. Additionally, you learn how to install and configure a virtual desktop infrastructure platform. You learn how to install and configure VMware HorizonÂ© Connection Server?, VMware Unified Access Gateway?, how to configure a load balancer for use with Horizon, and how to establish Cloud Pod Architecture.</p></div><div id="course-pills-2"><h4>Course Introduction</h4><ul><li>Introductions and course logistics</li><li>Course objectives</li></ul><h4>Introduction to VMware Horizon</h4><ul><li>Recognize the features and benefits of Horizon</li><li>Describe the conceptual and logical architecture of Horizon</li></ul><h4>Introduction to Use Case</h4><ul><li>Convert customer requirements to use-case attributes</li><li>Define a use case for your virtual desktop and application infrastructure</li></ul><h4>vSphere for VMware Horizon</h4><ul><li>Explain basic virtualization concepts</li><li>Use VMware vSphereÂ© Client? to access your VMware vCenter System and VMware ESXi? hosts</li><li>Create a Windows virtual machine using vSphere</li></ul><h4>Create Windows Desktops</h4><ul><li>Outline the steps to install Horizon Agent on Windows virtual machines</li><li>Install Horizon Agent on a Windows virtual Machine</li><li>Optimize and prepare Windows virtual machines to set up Horizon desktop VMs</li></ul><h4>Create Linux Desktops</h4><ul><li>Create a Linux VM for Horizon</li><li>Install Horizon Agent on a Linux virtual machine</li><li>Optimize and prepare Linux virtual machines to set up Horizon desktop VMs</li></ul><h4>Creating and Managing Desktop Pools</h4><ul><li>Identify the steps to set up a template for desktop pool deployment</li><li>List the steps to add desktops to the VMware HorizonÂ© Connection Server? inventory</li><li>Compare dedicated-assignment and floating-assignment pools</li><li>Outline the steps to create an automated pool</li><li>Define user entitlement</li><li>Explain the hierarchy of global, pool-level, and user-level policies</li></ul><h4>VMware Horizon Client Options</h4><ul><li>Describe the different clients and their benefits</li><li>Access the Horizon desktop using various Horizon clients and HTML</li><li>Configure integrated printing, USB redirection, and the shared folders option</li><li>Configure session collaboration and media optimization for Microsoft Teams</li></ul><h4>Creating and Managing Instant-Clone Desktop Pools</h4><ul><li>List the advantages of instant clones</li><li>Explain the provisioning technology used for instant clone desktop pools</li><li>Set up an automated pool of instant clones</li><li>Push updated images to instant clone desktop pools</li></ul><h4>Creating RDS Desktop and Application Pools</h4><ul><li>Explain the difference between an RDS desktop pool and an automated pool</li><li>Compare and contrast an RDS session host pool, a farm, and an application pool</li><li>Create an RDS desktop pool and an application pool</li><li>Access RDS desktops and application from Horizon Client</li><li>Use the instant clone technology to automate the build-out of Remote Desktop Session Host farms</li><li>Configure load-balancing for RDSHs on a farm</li></ul><h4>Monitoring VMware Horizon</h4><ul><li>Monitor the status of the Horizon components using the Horizon Administrator console dashboard</li><li>Monitor desktop sessions using the HelpDesk tool</li><li>Monitor the performance of the remote desktop using the Horizon Performance Tracker</li></ul><h4>Horizon Connection Server</h4><ul><li>Recognize the VMware Horizon reference architecture</li><li>Identify the Horizon Connection Server supported features</li><li>Identify the recommended system requirements for Horizon Connection Server</li><li>Configure the Horizon event database</li><li>Outline the steps for the initial configuration of Horizon Connection Server</li><li>Discuss the AD LDS database as a critical {an important component?} component of the Horizon Connection Server installation</li></ul><h4>Horizon Protocols</h4><ul><li>Compare the remote display protocols that are available in VMware Horizon</li><li>Describe the BLAST Display Protocol Codecs</li><li>Summarize the BLAST Codec options</li><li>List the ideal applications for each BLAST codec</li><li>Describe the BLAST and PCoIP ADMX GPO common configurations</li></ul><h4>Graphics in Horizon</h4><ul><li>Describe the 3D rendering options available in Horizon 8</li><li>Compare vSGA and vDGA</li><li>List the steps to configure graphics cards for use in a Horizon environment</li></ul><h4>Securing Connections: Network</h4><ul><li>Compare tunnels and direct connections for client access to desktops</li><li>Discuss the benefits of using Unified Access Gateway</li><li>List the Unified Access Gateway firewall rules</li><li>Configure TLS certificates in Horizon</li></ul><h4>Securing Connections: Authentication</h4><ul><li>Compare the authentication options that Horizon Connection Server supports</li><li>Restrict access to the Horizon remote desktops using restricted entitlements</li><li>Describe the smart card authentication methods that Horizon Connection Server supports</li><li>Explain the purpose of permissions, roles, and privileges in VMware Horizon</li><li>Create custom roles</li></ul><h4>Horizon Scalability</h4><ul><li>Describe the purpose of a replica connection server</li><li>Explain how multiple Horizon Connection Server instances in a pod maintain synchronization</li><li>List the steps to configure graphics cards for use in a Horizon environment</li><li>Configure a load balancer for use in a Horizon environment</li><li>Explain Horizon Cloud Pod Architecture LDAP replication.</li><li>Explain Horizon Cloud Pod Architecture scalability options</li></ul><h4>Horizon Cloud and Universal Broker</h4><ul><li>Recognize the features and benefits of Horizon Cloud Service</li><li>Use Universal broker to connect to a Horizon Cloud instance</li><li>Configure and pair the Horizon Cloud Connector appliance with Horizon Connection Server</li></ul><h4>Workspace ONE Access and Virtual Application Management</h4><ul><li>Recognize the features and benefits of Workspace ONE Access</li><li>Explain identity management in Workspace ONE Access</li><li>Explain access management in Workspace ONE Access</li><li>Describe the requirements to install and configure True SSO in a Horizon environment</li><li>Describe the Workspace ONE Access directory integration</li><li>Deploy virtual applications with Workspace services</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br />Notes<p>Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC)</p><p>Nexus Humans VMware Horizon: Deploy and Manage [V8.8] training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the VMware Horizon: Deploy and Manage [V8.8] course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Duration
5 Days
30 CPD hours
This course is intended for
Tier 1 Operators, administrators, and architects for VMware Horizon
Overview
By the end of the course, you should be able to meet the following objectives:
Recognize the features and benefits of VMware Horizon
Define a use case for your virtual desktop and application infrastructure
Use vSphere to create VMs to be used as desktops for VMware Horizon
Create and optimize Windows VMs to create VMware Horizon desktops
Install and Configure Horizon Agent on a VMware Horizon desktop
Configure, manage, and entitle desktop pools of full VMs
Configure and manage the VMware Horizon Client systems and connect the client to a VMware Horizon desktop
Configure, manage, and entitle pools of instant-clone desktops
Create and use Remote Desktop Services (RDS) desktops and application pools
Monitor the VMware Horizon environment using the VMware Horizon Console Dashboard and Horizon Help Desk Tool
Identify VMware Horizon Connection Server installation, architecture, and requirements
Describe the authentication and certificate options for the VMware Horizon environment
Recognize the integration process and benefits of Workspace ONE Accessâ¢ and Horizon 8
Compare the remote display protocols that are available in VMware Horizon
Describe the 3D rendering options available in Horizon 8
Discuss scalability options available in Horizon 8
Describe different security options for the Horizon environment
This five-day course gives you the hands-on skills to deliver virtual desktops and applications through a single virtual desktop infrastructure platform. You build on your skills in configuring and managing VMware HorizonÂ© 8 through a combination of lecture and hands-on labs. You learn how to configure and deploy pools of virtual machines and how to provide a customized desktop environment to end-users. Additionally, you learn how to install and configure a virtual desktop infrastructure platform. You learn how to install and configure VMware HorizonÂ© Connection Server?, VMware Unified Access Gateway?, how to configure a load balancer for use with Horizon, and how to establish Cloud Pod Architecture.
Course Introduction
Introductions and course logistics
Course objectives
Introduction to VMware Horizon
Recognize the features and benefits of Horizon
Describe the conceptual and logical architecture of Horizon
Introduction to Use Case
Convert customer requirements to use-case attributes
Define a use case for your virtual desktop and application infrastructure
vSphere for VMware Horizon
Explain basic virtualization concepts
Use VMware vSphereÂ© Client? to access your VMware vCenter System and VMware ESXi? hosts
Create a Windows virtual machine using vSphere
Create Windows Desktops
Outline the steps to install Horizon Agent on Windows virtual machines
Install Horizon Agent on a Windows virtual Machine
Optimize and prepare Windows virtual machines to set up Horizon desktop VMs
Create Linux Desktops
Create a Linux VM for Horizon
Install Horizon Agent on a Linux virtual machine
Optimize and prepare Linux virtual machines to set up Horizon desktop VMs
Creating and Managing Desktop Pools
Identify the steps to set up a template for desktop pool deployment
List the steps to add desktops to the VMware HorizonÂ© Connection Server? inventory
Compare dedicated-assignment and floating-assignment pools
Outline the steps to create an automated pool
Define user entitlement
Explain the hierarchy of global, pool-level, and user-level policies
VMware Horizon Client Options
Describe the different clients and their benefits
Access the Horizon desktop using various Horizon clients and HTML
Configure integrated printing, USB redirection, and the shared folders option
Configure session collaboration and media optimization for Microsoft Teams
Creating and Managing Instant-Clone Desktop Pools
List the advantages of instant clones
Explain the provisioning technology used for instant clone desktop pools
Set up an automated pool of instant clones
Push updated images to instant clone desktop pools
Creating RDS Desktop and Application Pools
Explain the difference between an RDS desktop pool and an automated pool
Compare and contrast an RDS session host pool, a farm, and an application pool
Create an RDS desktop pool and an application pool
Access RDS desktops and application from Horizon Client
Use the instant clone technology to automate the build-out of Remote Desktop Session Host farms
Configure load-balancing for RDSHs on a farm
Monitoring VMware Horizon
Monitor the status of the Horizon components using the Horizon Administrator console dashboard
Monitor desktop sessions using the HelpDesk tool
Monitor the performance of the remote desktop using the Horizon Performance Tracker
Horizon Connection Server
Recognize the VMware Horizon reference architecture
Identify the Horizon Connection Server supported features
Identify the recommended system requirements for Horizon Connection Server
Configure the Horizon event database
Outline the steps for the initial configuration of Horizon Connection Server
Discuss the AD LDS database as a critical {an important component?} component of the Horizon Connection Server installation
Horizon Protocols
Compare the remote display protocols that are available in VMware Horizon
Describe the BLAST Display Protocol Codecs
Summarize the BLAST Codec options
List the ideal applications for each BLAST codec
Describe the BLAST and PCoIP ADMX GPO common configurations
Graphics in Horizon
Describe the 3D rendering options available in Horizon 8
Compare vSGA and vDGA
List the steps to configure graphics cards for use in a Horizon environment
Securing Connections: Network
Compare tunnels and direct connections for client access to desktops
Discuss the benefits of using Unified Access Gateway
List the Unified Access Gateway firewall rules
Configure TLS certificates in Horizon
Securing Connections: Authentication
Compare the authentication options that Horizon Connection Server supports
Restrict access to the Horizon remote desktops using restricted entitlements
Describe the smart card authentication methods that Horizon Connection Server supports
Explain the purpose of permissions, roles, and privileges in VMware Horizon
Create custom roles
Horizon Scalability
Describe the purpose of a replica connection server
Explain how multiple Horizon Connection Server instances in a pod maintain synchronization
List the steps to configure graphics cards for use in a Horizon environment
Configure a load balancer for use in a Horizon environment
Explain Horizon Cloud Pod Architecture LDAP replication.
Explain Horizon Cloud Pod Architecture scalability options
Horizon Cloud and Universal Broker
Recognize the features and benefits of Horizon Cloud Service
Use Universal broker to connect to a Horizon Cloud instance
Configure and pair the Horizon Cloud Connector appliance with Horizon Connection Server
Workspace ONE Access and Virtual Application Management
Recognize the features and benefits of Workspace ONE Access
Explain identity management in Workspace ONE Access
Explain access management in Workspace ONE Access
Describe the requirements to install and configure True SSO in a Horizon environment
Describe the Workspace ONE Access directory integration
Deploy virtual applications with Workspace services
Additional course details:Notes
Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC)
Nexus Humans VMware Horizon: Deploy and Manage [V8.8] training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. 

This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.

Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.

While we feel this is the best course for the VMware Horizon: Deploy and Manage [V8.8] course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.

Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.


VMware Vsphere

vSphere

Microsoft Virtual Academy (MVA)

Remote Desktop Software

VMware Horizon: Deploy and Manage [V8.8]

General Admission

Redhill

<h3><b>Network design training course description</b></h3>
        <p>  This course provides you with the knowledge needed to
perform the design of a network infrastructure that
supports desired network solutions to achieve effective
performance, scalability, and availability. We recognise
that the role of design does not normally require hands
on skills but hands on sessions are used to reinforce the
theory not to teach configuration or troubleshooting.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
         <li>Create HA enterprise network designs.</li>
                  <li>Develop optimum Layer 3 designs.</li>
                  <li>Design effective modern WAN and data center
networks.</li>
                  <li>Develop effective migration approaches to IPv6.</li>
                  <li>Create effective network security designs.</li>
               							 </ul>
        <h5>
        <b>Network design training course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>Anyone involved with network design.</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p>TCP/IP Foundation for engineers</p>
              
							<li><b>Duration</b></li>
							
              <p>5 days</p>
              
							
              
              
						</ul>
					</div>
				</div>
      <h3><b>Network design training course contents</b></h3>
      
				<h6><b>Part I Reliable, resilient enterprise L2/3 network design</b></h6>
         <b>Optimal Enterprise Campus Design:</b><br />Enterprise campus
				design principles, hierarchy, modularity, flexibility, resiliency.<br />
				<b>EIGRP design:</b> <br />EIGRP Design, Should you use EIGRP?<br />
				<b>OSPF design:</b><br /> OSPF scalability designs, OSPF area design,
OSPF Full-Mesh Design, OSPF Hub-and-Spoke Design, OSPF convergence design and optimization techniques.
				<br /><b>IS-IS Design:</b><br />The protocol, IS-IS hierarchical architecture,
IS-IS vs OSPF, IS-IS Deep Dive, IS-IS Design Considerations.
				<br /><b>BGP design:</b><br />BGP overview, Designing Scalable iBGP
Networks, BGP Route Reflector Design, Enhancing the Design
of BGP Policies with BGP Communities, Case Study:
Designing Enterprise wide BGP Policies Using BGP
Communities, BGP Load-Sharing Design.<br />
<h6><b>Part II Enterprise IPv6 Design Considerations</b></h6>
				<b>IPv6 Design Considerations in the Enterprise:</b><br /> IPv6
Deployment and Design Considerations, Considerations for
Migration to IPv6 Design, IPv6 Transition Mechanisms, Final
Thoughts on IPv6 Transition Mechanisms.
				<br /><b>Challenges of the Transition to IPv6:</b><br /> IPv6 Services, Link
Layer Security Considerations.
		<h6><b>Part III Modern Enterprise Wide-Area Networks Design</b></h6>
		<b>Service Provider-Managed VPNs:</b> <br />Choosing Your WAN
Connection, Layer 3 MPLS VPNs, Case Study: MPLS VPN
Routing Propagation, Layer 2 MPLS VPN Services.
		<br /><b>Enterprise-Managed WANs:</b><br /> Enterprise-Managed VPNs,
GRE, Multipoint GRE, Point-to-Point and Multipoint GRE,
IPsec, IPsec and dynamic VTI, DMVPN, Case Study: EIGRP
DMVPN, DMVPN and Redundancy, Case Study: MPLS/VPN
over GRE/DMVPN, SSL VPN.
		<br /><b>Enterprise WAN Resiliency Design:</b><br /> WAN Remote-Site
Overview, MPLS L3 WAN Design Models, Common L2 WAN
Design Models, Common VPN WAN Design Models, 3G/4G
VPN Design Models, Remote Site Using Local Internet,
Remote-Site LAN, Case Study: Redundancy and Connectivity,
NGWAN, SDWAN, and IWAN Solution Overview, IWAN
Design Overview, Enterprise WAN and Access Management.
		
<h6><b>Part IV Enterprise Data Center Designs</b></h6>
		<b>Multitier Data Center Designs:</b><br /> Case Study: Small Data
Centers (Connecting Servers to an Enterprise LAN), Case
Study: Two-Tier Data Center Network Architecture, Case
Study: Three-Tier Data Center Network Architecture.<br />
		<b>Trends and Techniques to Design Modern Data Centers:</b><br />
The Need for a New Network Architecture, Limitations of
Current Networking Technology, Modern Data Center Design
Techniques and Architectures, Multitenant Data Center.
		<br /><b>SDN:</b> <br />SDN characteristics, How SDN addresses current
Networking Limitations, SDN Architecture Components, SDN
Network Virtualization overlays.
		<br /><b>Data Center Connections:</b><br />Data Center Traffic Flows, The
Need for DCI, IP Address Mobility, Case Study: Dark Fiber
DCI, Pseudowire DCI.
				<h6><b>Part V Design QoS for Optimized User Experience</b></h6>
	<b>QoS Overview:</b><br />QoS Overview, IntServ versus DiffServ,
Classification and Marking, Policers and Shapers, Policing
Tools: Single-Rate Three-Color Marker, Policing Tools: TwoRate Three-Color Marker, Queuing Tools, Dropping Tools.
	<b>QoS design principles and best practices:</b><br /> QoS overview,
classification and marking design principles, policing and
remarking design principles, queuing design principles,
dropping design principles, Per-Hop behavior queue design
principles, RFC 4594 QoS Recommendation, QoS Strategy
Models. Campus QoS, WAN QoS, Data Center QoS.<br />
	<b>MPLS VPN QoS Design:</b><br /> The Need for QoS in MPLS VPN,
Layer 2 Private WAN QoS Administration, Fully Meshed
MPLS VPN QoS Administration, MPLS DiffServ Tunneling
Modes, Sample MPLS VPN QoS Roles.
	<br /><b>IPsec VPN QoS Design:</b><br /> The Need for QoS in IPsec VPN,
VPN Use Cases and Their QoS Models, IPsec Refresher,
Encryption and Classification: Order of Operations, MTU
Considerations, DMVPN QoS Considerations.
	<h6><b>Part VI IP Multicast Design</b></h6>
	<b>Enterprise IP Multicast Design:</b><br /> How Does IP Multicast
Work? Multicast Protocols, Multicast Forwarding and RPF
Check, Multicast Protocol Basics, PIM-SM Overview, Multicast
Routing Table, Basic SSM Concepts, Bidirectional PIM. RP
discovery, Anycast RP Features, MSDP.
	<h6><b>Part VII Designing Optimum Enterprise Network Security</b></h6>
	<b>Designing Security Services and Infrastructure Protection</b><br />
Network Security Zoning, Designing Infrastructure Protection.<br />
	<b>Designing firewall &amp; IPS solutions:</b><br /> Firewall architectures,
virtualized firewalls. Case Study: Application Tier separation,
Case Study: Firewalls in a Data Center, Case Study: Firewall
High Availability, IPS Architectures, Case Study: Secure
Campus Edge Design (Internet and Extranet Connectivity).
<br /><b>IP Multicast Security:</b><br /> Multicast Security Challenges,
Multicast Network Security Considerations.
	<br /><b>Designing Network Access Control Solutions:</b><br />IEEE
802.1X, EAP, 802.1X supplicants, 802.1X phased
deployment, Case Study: Authorization Options.
	<h6><b>Part VIII Design scenarios</b></h6>
	<b>Design Case Studies:</b><br /> 1: Enterprise Connectivity, 2:
Enterprise BGP with Internet Connectivity, 3: IPv6, 4: Data
Center Connectivity, 5: Resilient Enterprise WAN, 6: Secure
Enterprise Network, 7: QoS in the Enterprise Network.

Network design training course description
 This course provides you with the knowledge needed to
perform the design of a network infrastructure that
supports desired network solutions to achieve effective
performance, scalability, and availability. We recognise
that the role of design does not normally require hands
on skills but hands on sessions are used to reinforce the
theory not to teach configuration or troubleshooting.
What will you learn
Create HA enterprise network designs.
Develop optimum Layer 3 designs.
Design effective modern WAN and data center
networks.
Develop effective migration approaches to IPv6.
Create effective network security designs.
Network design training course details
Who will benefit:
Anyone involved with network design.
Prerequisites:
TCP/IP Foundation for engineers
Duration
5 days
Network design training course contents
Part I Reliable, resilient enterprise L2/3 network designOptimal Enterprise Campus Design:Enterprise campus design principles, hierarchy, modularity, flexibility, resiliency.EIGRP design:EIGRP Design, Should you use EIGRP?OSPF design: OSPF scalability designs, OSPF area design,
OSPF Full-Mesh Design, OSPF Hub-and-Spoke Design, OSPF convergence design and optimization techniques. IS-IS Design:The protocol, IS-IS hierarchical architecture,
IS-IS vs OSPF, IS-IS Deep Dive, IS-IS Design Considerations. BGP design:BGP overview, Designing Scalable iBGP
Networks, BGP Route Reflector Design, Enhancing the Design
of BGP Policies with BGP Communities, Case Study:
Designing Enterprise wide BGP Policies Using BGP
Communities, BGP Load-Sharing Design.Part II Enterprise IPv6 Design ConsiderationsIPv6 Design Considerations in the Enterprise: IPv6
Deployment and Design Considerations, Considerations for
Migration to IPv6 Design, IPv6 Transition Mechanisms, Final
Thoughts on IPv6 Transition Mechanisms. Challenges of the Transition to IPv6: IPv6 Services, Link
Layer Security Considerations. Part III Modern Enterprise Wide-Area Networks DesignService Provider-Managed VPNs:Choosing Your WAN
Connection, Layer 3 MPLS VPNs, Case Study: MPLS VPN
Routing Propagation, Layer 2 MPLS VPN Services. Enterprise-Managed WANs: Enterprise-Managed VPNs,
GRE, Multipoint GRE, Point-to-Point and Multipoint GRE,
IPsec, IPsec and dynamic VTI, DMVPN, Case Study: EIGRP
DMVPN, DMVPN and Redundancy, Case Study: MPLS/VPN
over GRE/DMVPN, SSL VPN. Enterprise WAN Resiliency Design: WAN Remote-Site
Overview, MPLS L3 WAN Design Models, Common L2 WAN
Design Models, Common VPN WAN Design Models, 3G/4G
VPN Design Models, Remote Site Using Local Internet,
Remote-Site LAN, Case Study: Redundancy and Connectivity,
NGWAN, SDWAN, and IWAN Solution Overview, IWAN
Design Overview, Enterprise WAN and Access Management. Part IV Enterprise Data Center DesignsMultitier Data Center Designs: Case Study: Small Data
Centers (Connecting Servers to an Enterprise LAN), Case
Study: Two-Tier Data Center Network Architecture, Case
Study: Three-Tier Data Center Network Architecture.Trends and Techniques to Design Modern Data Centers:
The Need for a New Network Architecture, Limitations of
Current Networking Technology, Modern Data Center Design
Techniques and Architectures, Multitenant Data Center. SDN:SDN characteristics, How SDN addresses current
Networking Limitations, SDN Architecture Components, SDN
Network Virtualization overlays. Data Center Connections:Data Center Traffic Flows, The
Need for DCI, IP Address Mobility, Case Study: Dark Fiber
DCI, Pseudowire DCI. Part V Design QoS for Optimized User ExperienceQoS Overview:QoS Overview, IntServ versus DiffServ,
Classification and Marking, Policers and Shapers, Policing
Tools: Single-Rate Three-Color Marker, Policing Tools: TwoRate Three-Color Marker, Queuing Tools, Dropping Tools. QoS design principles and best practices: QoS overview,
classification and marking design principles, policing and
remarking design principles, queuing design principles,
dropping design principles, Per-Hop behavior queue design
principles, RFC 4594 QoS Recommendation, QoS Strategy
Models. Campus QoS, WAN QoS, Data Center QoS.MPLS VPN QoS Design: The Need for QoS in MPLS VPN,
Layer 2 Private WAN QoS Administration, Fully Meshed
MPLS VPN QoS Administration, MPLS DiffServ Tunneling
Modes, Sample MPLS VPN QoS Roles. IPsec VPN QoS Design: The Need for QoS in IPsec VPN,
VPN Use Cases and Their QoS Models, IPsec Refresher,
Encryption and Classification: Order of Operations, MTU
Considerations, DMVPN QoS Considerations. Part VI IP Multicast DesignEnterprise IP Multicast Design: How Does IP Multicast
Work? Multicast Protocols, Multicast Forwarding and RPF
Check, Multicast Protocol Basics, PIM-SM Overview, Multicast
Routing Table, Basic SSM Concepts, Bidirectional PIM. RP
discovery, Anycast RP Features, MSDP. Part VII Designing Optimum Enterprise Network SecurityDesigning Security Services and Infrastructure Protection
Network Security Zoning, Designing Infrastructure Protection.Designing firewall & IPS solutions: Firewall architectures,
virtualized firewalls. Case Study: Application Tier separation,
Case Study: Firewalls in a Data Center, Case Study: Firewall
High Availability, IPS Architectures, Case Study: Secure
Campus Edge Design (Internet and Extranet Connectivity).
IP Multicast Security: Multicast Security Challenges,
Multicast Network Security Considerations. Designing Network Access Control Solutions:IEEE
802.1X, EAP, 802.1X supplicants, 802.1X phased
deployment, Case Study: Authorization Options. Part VIII Design scenariosDesign Case Studies: 1: Enterprise Connectivity, 2:
Enterprise BGP with Internet Connectivity, 3: IPv6, 4: Data
Center Connectivity, 5: Resilient Enterprise WAN, 6: Secure
Enterprise Network, 7: QoS in the Enterprise Network.

Systems & Network Training

Network & Security

Network Engineer

Network design

<h3><b>Perl training course description</b></h3>
      <p> A hands on introduction to programming in Perl.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
	   <li>Write Perl programs.</li>
																						<li>Use Perl modules.</li>
                    <li>Debug Perl programs.</li>
                    <li>Examine existing code and determine its function. </li>
                  </ul>
        <h5>
        <b>Perl training course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>Anyone wishing to learn Perl.</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p>None although experience in another high level language would be useful.
							</p>
              
							<li><b>Duration</b></li>
							
              <p>5 days
						</p>
              
							
              
              
						</ul>
					</div>
				</div>
      <h3><b>Perl training course contents</b></h3>
      <ul>
				<li>Introduction to Perl </li><p>
What is Perl? When to use Perl, downloading Perl, installing Perl, documentation, perldoc, running Perl, the Perl environment. Perl under UNIX, Perl under Windows. "Hello world".

</p><li>Variables </li><p>
Scalars, data types, $_, strings and numbers, assignment, constants, strict, scope, STDIN.

</p><li>Operators </li><p>
Number operators, string operators, precedence and associativity, converting numbers and strings, shortcut operators.

</p><li>Flow control </li><p>
Blocks, if, else, elseif, unless, foreach, while, for do, until.

</p><li>Regular expressions </li><p>
What are regular expressions? Pattern matching, Perl as a filter, file editing.

</p><li>Strings </li><p>
Comparing strings, concatenating, substrings, chomp, chop, formatting, string manipulation.

</p><li>Subroutines </li><p>
Comparing strings, concatenating, substrings, chomp, chop, formatting, string manipulation.

</p><li>Arrays and hashes </li><p>
				Working with arrays, element access, push(), pop(), shift(), unshift(), &lt;STDIN&gt; as an array, associative arrays, hashes of arrays, hash references, arrays of hashes, hashes of hashes.

</p><li>Files </li><p>
Simple file handling, open, close, &lt;FILEHANDLE&gt;, &lt;&gt;, file tests, directory access, directory handles, database access, packing and packing binary data.

</p><li>I/O </li><p>
STDIN, STDOUT and STDERR, Command line arguments,@ARGV.

</p><li>Perl debugging </li><p>
The built in debugger, running the debugger, debugger commands, graphical debuggers. Script syntax errors, single stepping, breakpoints, watches.

</p><li>Packages and modules </li><p>
CPAN, Finding modules, installing modules, using modules, scope.

</p><li>Report formatting </li><p>
Formats, defining a format, invoking a format, field holders.

</p><li>Process management </li><p>
System interaction, system(), exec(), signals. Security issues.</p>
			
      </ul>

Perl training course description
 A hands on introduction to programming in Perl.
What will you learn
Write Perl programs.
Use Perl modules.
Debug Perl programs.
Examine existing code and determine its function.
Perl training course details
Who will benefit:
Anyone wishing to learn Perl.
Prerequisites:
None although experience in another high level language would be useful. 
Duration
5 days 
Perl training course contents
Introduction to Perl

What is Perl? When to use Perl, downloading Perl, installing Perl, documentation, perldoc, running Perl, the Perl environment. Perl under UNIX, Perl under Windows. "Hello world". 
Variables

Scalars, data types, $_, strings and numbers, assignment, constants, strict, scope, STDIN. 
Operators

Number operators, string operators, precedence and associativity, converting numbers and strings, shortcut operators. 
Flow control

Blocks, if, else, elseif, unless, foreach, while, for do, until. 
Regular expressions

What are regular expressions? Pattern matching, Perl as a filter, file editing. 
Strings

Comparing strings, concatenating, substrings, chomp, chop, formatting, string manipulation. 
Subroutines

Comparing strings, concatenating, substrings, chomp, chop, formatting, string manipulation. 
Arrays and hashes
 Working with arrays, element access, push(), pop(), shift(), unshift(), <STDIN> as an array, associative arrays, hashes of arrays, hash references, arrays of hashes, hashes of hashes. 
Files

Simple file handling, open, close, <FILEHANDLE>, <>, file tests, directory access, directory handles, database access, packing and packing binary data. 
I/O

STDIN, STDOUT and STDERR, Command line arguments,@ARGV. 
Perl debugging

The built in debugger, running the debugger, debugger commands, graphical debuggers. Script syntax errors, single stepping, breakpoints, watches. 
Packages and modules

CPAN, Finding modules, installing modules, using modules, scope. 
Report formatting

Formats, defining a format, invoking a format, field holders. 
Process management

System interaction, system(), exec(), signals. Security issues.

Complete Perl programming

<h3><b>Programming in HTML5 with CSS course description</b></h3>
      <p> This course provides an introduction to HTML5, CSS3,
and JavaScript. It is an entry point into both the Web
application and Windows Store apps training paths.
The course focuses on using HTML5 / CSS3 /
JavaScript to implement programming logic, define and
use variables, perform looping and branching, develop
user interfaces, capture and validate user input, store
data, and create well-structured application.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
	  
                    <li>Create and style HTML5 pages.</li>
				  	                <li>Use JavaScript.</li>
                       <li>Style HTML5 pages by using CSS3.</li>
                      	<li>Use common HTML5 APLs in interactive Web applications.</li>
                       <li>Create HTML5 Web pages that can adapt to different devices and form factors.</li>
																							<li>Enhance the user experience by adding animations to the HTML5 page.</li>
                  </ul>
        <h5>
        <b>Programming in HTML5 with CSS course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>Website developers.</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p>HTML5 development fundamentals.
							</p>
              
							<li><b>Duration</b></li>
							
              <p>5 days
						</p>
              
							
              
              
						</ul>
					</div>
				</div>
      <h3><b>Programming in HTML5 with CSS course contents</b></h3>
      <ul>
				<li>Overview of HTML and CSS </li><p>
Overview of HTML, Overview of CSS, Creating a Web Application by Using Visual Studio 2012.
<br /><span>Hands on</span> Exploring the Contoso Conference Application.

</p><li>Creating and Styling HTML5 Pages </li><p>
Creating an HTML5 Page, Styling an HTML5 Page.
<br /><span>Hands on</span> Creating and Styling HTML5 Pages.

</p><li>Introduction to JavaScript </li><p>
Overview of JavaScript Syntax, Programming the HTML DOM with JavaScript, Introduction to jQuery.
<br /><span>Hands on</span> Displaying Data and Handling Events by Using JavaScript.

</p><li>Creating Forms to Collect and Validate User Input </li><p>
Overview of Forms and Input Types, Validating User Input by Using HTML5 Attributes, Validating User Input by Using JavaScript.
<br /><span>Hands on</span> Creating a Form and Validating User Input.

		</p><li>Communicating with a Remote Data Source </li><p>
Sending and Receiving Data by Using XMLHTTPRequest, Sending and Receiving Data by Using jQuery AJAX operations.
<br /><span>Hands on</span> Communicating with a Remote Data Source.

</p><li>Styling HTML5 by Using CSS3 </li><p>
Styling Text, Styling Block Elements, CSS3 Selectors, Enhancing Graphical Effects by Using CSS3.
<br /><span>Hands on</span> Styling Text and Block Elements using CSS3.

</p><li>Creating Objects and Methods by Using JavaScript </li><p>
Writing Well-Structured JavaScript, Creating Custom Objects, Extending Objects.
<br /><span>Hands on</span> Refining Code for Maintainability and Extensibility.

</p><li>Creating Interactive Pages using HTML5 APIs </li><p>
Interacting with Files, Incorporating Multimedia, Reacting to Browser Location and Context, Debugging and Profiling a Web Application.
<br /><span>Hands on</span> Creating Interactive Pages by Using HTML5 APIs.

</p><li>Adding Offline Support to Web Applications </li><p>
Reading and Writing Data Locally, Adding Offline Support by Using the Application Cache.
<br /><span>Hands on</span> Adding Offline Support to a Web Application.

</p><li>Implementing an Adaptive User Interface </li><p>
Supporting Multiple Form Factors, Creating an Adaptive User Interface.
<br /><span>Hands on</span> Implementing an Adaptive User Interface.

</p><li>Creating Advanced Graphics </li><p>
Creating Interactive Graphics by Using Scalable Vector Graphics, Programmatically Drawing Graphics by Using a Canvas.
<br /><span>Hands on</span> Creating Advanced Graphics.

</p><li>Animating the User Interface </li><p>
Applying CSS Transitions, Transforming Elements, Applying CSS Key-frame Animations.
<br /><span>Hands on</span> Animating User Interface Elements.

</p><li>Web Sockets for Real-Time Communications </li><p>
Introduction to Web Sockets, Sending and Receiving Data by Using Web Sockets.
<br /><span>Hands on</span> Implementing Real-Time Communications by Using Web Sockets.

</p><li>Creating a Web Worker Process </li><p>
Introduction to Web Workers, Performing Asynchronous Processing by Using a Web Worker.
<br /><span>Hands on</span> Creating a Web Worker Process.</p>
			
      </ul>

Programming in HTML5 with CSS course description
 This course provides an introduction to HTML5, CSS3,
and JavaScript. It is an entry point into both the Web
application and Windows Store apps training paths.
The course focuses on using HTML5 / CSS3 /
JavaScript to implement programming logic, define and
use variables, perform looping and branching, develop
user interfaces, capture and validate user input, store
data, and create well-structured application.
What will you learn
Create and style HTML5 pages.
Use JavaScript.
Style HTML5 pages by using CSS3.
Use common HTML5 APLs in interactive Web applications.
Create HTML5 Web pages that can adapt to different devices and form factors.
Enhance the user experience by adding animations to the HTML5 page.
Programming in HTML5 with CSS course details
Who will benefit:
Website developers.
Prerequisites:
HTML5 development fundamentals. 
Duration
5 days 
Programming in HTML5 with CSS course contents
Overview of HTML and CSS

Overview of HTML, Overview of CSS, Creating a Web Application by Using Visual Studio 2012.

Hands on Exploring the Contoso Conference Application. 
Creating and Styling HTML5 Pages

Creating an HTML5 Page, Styling an HTML5 Page.

Hands on Creating and Styling HTML5 Pages. 
Introduction to JavaScript

Overview of JavaScript Syntax, Programming the HTML DOM with JavaScript, Introduction to jQuery.

Hands on Displaying Data and Handling Events by Using JavaScript. 
Creating Forms to Collect and Validate User Input

Overview of Forms and Input Types, Validating User Input by Using HTML5 Attributes, Validating User Input by Using JavaScript.

Hands on Creating a Form and Validating User Input. 
Communicating with a Remote Data Source

Sending and Receiving Data by Using XMLHTTPRequest, Sending and Receiving Data by Using jQuery AJAX operations.

Hands on Communicating with a Remote Data Source. 
Styling HTML5 by Using CSS3

Styling Text, Styling Block Elements, CSS3 Selectors, Enhancing Graphical Effects by Using CSS3.

Hands on Styling Text and Block Elements using CSS3. 
Creating Objects and Methods by Using JavaScript

Writing Well-Structured JavaScript, Creating Custom Objects, Extending Objects.

Hands on Refining Code for Maintainability and Extensibility. 
Creating Interactive Pages using HTML5 APIs

Interacting with Files, Incorporating Multimedia, Reacting to Browser Location and Context, Debugging and Profiling a Web Application.

Hands on Creating Interactive Pages by Using HTML5 APIs. 
Adding Offline Support to Web Applications

Reading and Writing Data Locally, Adding Offline Support by Using the Application Cache.

Hands on Adding Offline Support to a Web Application. 
Implementing an Adaptive User Interface

Supporting Multiple Form Factors, Creating an Adaptive User Interface.

Hands on Implementing an Adaptive User Interface. 
Creating Advanced Graphics

Creating Interactive Graphics by Using Scalable Vector Graphics, Programmatically Drawing Graphics by Using a Canvas.

Hands on Creating Advanced Graphics. 
Animating the User Interface

Applying CSS Transitions, Transforming Elements, Applying CSS Key-frame Animations.

Hands on Animating User Interface Elements. 
Web Sockets for Real-Time Communications

Introduction to Web Sockets, Sending and Receiving Data by Using Web Sockets.

Hands on Implementing Real-Time Communications by Using Web Sockets. 
Creating a Web Worker Process

Introduction to Web Workers, Performing Asynchronous Processing by Using a Web Worker.

Hands on Creating a Web Worker Process.

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