GraphQL is a language that enables you to provide a complete and understandable description of the data in your API, which provides a common interface between the client and the server for data fetching and manipulations. If you ever wondered how to get started with developing GraphQL API using Node.js, then you are in the right place! In this GraphQL with NodeJs: From Beginner to Advanced Concepts you'll learn how to setup a GraphQL server with Node.js and Express. You'll be using the Express middleware express-graphql. Learn Advanced Concepts- Interfaces, Unions, DataLoaders, Caching, Pagination, Sorting, Filtering. Learn Cursor based Pagination in GraphQL. You will learn to build highly scaleable APIS with GraphQL, NodeJs and MongoDB. The course will show you why GraphQL is a viable solution for both new and existing applications and what its advantages are when compared to REST. Furthermore, you'll learn how to use GraphQL on the client side to send queries and mutations to the server. What Will I Learn? Build highly scaleable APIS with GraphQL, NodeJs and MongoDB Secure GraphQL API using JWT Authentication Learn Advanced Concepts- Interfaces, Unions, DataLoaders, Caching, Pagination, Sorting, Filtering Learn Cursor based Pagination in GraphQL Testing with GraphQL, NodeJs and Jest Unit Testing and Integration testing in GraphQL Requirements Knowledge of Javascript is required Knowledge of NodeJs is required Who is the target audience? NodeJs developers who want learn about GraphQL Developers who have basic knowledge of GraphQL but want to learn more advanced concepts in GraphQL Developers who want to learn how to build GraphQL APIs Developers who want to learn how to implement Authentication, Subscriptions, Testing, and Caching in GraphQL Getting Started Create Express Server in NodeJs FREE 00:04:00 Create GraphQL Server using express-graphql FREE 00:08:00 Understand GraphQL Resolver Arguments 00:03:00 Connect GraphQL App with MongoDB using Mongoose 00:04:00 CURD(Create, Read,Update,Delete) Operations with Nodejs, GraphQL, and MongoDB Create Record in MongoDB Using GraphQL Mutation 00:06:00 Get Records From MongoDB Using GraphQL Query 00:02:00 Update Records From MongoDB Using GraphQL Mutation 00:02:00 Delete Record From MongoDB Using GraphQL Mutation 00:02:00 Authentication and Authorization in GraphQL, Nodejs and MongoDB Create GraphQL Server with GraphQL Yoga 00:03:00 Split up your schema definition, resolvers, and Query type into multip 00:07:00 Create a Mongoose User model for Authentication in GraphQL 00:03:00 Register and Encrypt User Data and Return JWT Payload with Graph 00:07:00 Operations and Variables in GraphQL 00:02:00 Validate Input in GraphQL with Joi 00:04:00 Authenticate a User using a JSON Web Token in GraphQL 00:03:00 Merge GraphQL Resolvers into a Single Object using lodash.merge 00:02:00 Create a Middleware for Authentication in GraphQL 00:07:00 Apply Authentication Middleware on GraphQL Resolvers 00:03:00 Create Nested Resolvers to remove duplicate code from individual 00:07:00 Pagination, Filtering, And Sorting in GraphQL Paginate List of Data in GraphQL 00:04:00 Filter Nodes with Matching Rule GraphQL Queries 00:03:00 Sort GraphQL Query Results by Field 00:02:00 Cursor Based Pagination 00:09:00 Fragments, Interfaces, and Unions in GraphQL Send Multiple Queries in a Single Request using Aliases in GraphQL 00:02:00 Enhancing Fields Reusability with Fragments in GraphQL 00:02:00 Create Enum to represents a collection of related values 00:03:00 Create an Interface to represent the reusable fields in GraphQL 00:06:00 Interface Demo with __ResolveType 00:05:00 Create Union to return more than object type from GraphQL field 00:11:00 Subscriptions and DataLoaders in GraphQL Introduction to Subscriptions 00:01:00 Adding real-time functionality with GraphQL Subscriptions 00:06:00 Why Data Loaders in GraphQL 00:02:00 Create DataLoader in GraphQL 00:05:00 Batching in GraphQL 00:05:00 Caching in GraphQL - Udemy 00:03:00 Testing with Jest in GraphQL and NodeJs Integrate Jest Testing Framework with GraphQL, and NodeJs 00:05:00 Write Unit test for Resolvers in GraphQL 00:04:00 Write Integration Test for Queries And Mutations in GraphQL 00:04:00 Course Certification
This Node.js Express & MongoDB Dev to Deployment course is a well-prepared course and perfect for individuals interested in learning how to structure your Node/Express applications, create data models, relate data, display views, authenticate users, create helpers since this comprehensive course provide some solid insight into NodeJS development. With this course, you'll learn about Node for adding server-side JavaScript to your skill-set and learn to build engaging and responsive applications. You'll also learn to build schemas, structure models and query MongoDB to get the accurate data, and the core concepts of MongoDB for building production-ready applications. The foundations of Node.js including how to prepare and deploy apps to production with Heroku, ES6 concepts like arrow functions, promises, template strings, etc. are an integral part of this course. What you'll learn Build high quality applications built with Node, Express and MongoDB Implement authentication including local & Google OAuth strategies Create data models with Mongoose ODM Prepare & deploy apps to production with Heroku Learn ES6 concepts like arrow functions, template strings & promises Requirements Basic HTML / CSS knowledge A good understanding of JavaScript Fundamentals (functions, objects, loops, etc) Who this course is for: Anyone that wants to learn how to build & deploy apps built with Node, Express & MongoDB Course Introduction Welcome To The Course FREE 00:05:00 Project Files and Questions FREE 00:03:00 Setting Up Dev Environment Setup 00:07:00 What Is Node.js 00:05:00 Installing & Exploring Node.js 00:07:00 Installing MongoDB Locally 00:08:00 Sign Up For mLab 00:03:00 Creating a Heroku Account 00:03:00 VidJot Project & Express Fundamentals Vidjot Project Introduction 00:04:00 Install & Initialize Express 00:08:00 Basic Routing & Nodemon 00:06:00 Express Middleware 00:05:00 Working With Templates 00:10:00 Bootstrap & Partials 00:08:00 Mongoose & Local MongoDB Install Mongoose & Connect To Mongo 00:06:00 Create The Idea Model 00:05:00 Add Idea Form 00:07:00 Server Side Form Validation 00:09:00 Save Idea To MongoDB 00:04:00 Fetching Ideas From MongoDB 00:05:00 Edit Idea Form 00:05:00 Update Idea Data 00:09:00 Remove Idea Data 00:06:00 Flash Messaging 00:11:00 Local Authentication With Passport A Look At Passport 00:05:00 The Express Router 00:11:00 Login & Register Pages 00:13:00 Register Form Validation 00:11:00 User Registration 00:17:00 Hooking Up A Local Strategy 00:11:00 Finishing The Login Functionality 00:12:00 Logout Function 00:04:00 Protecting Routes 00:06:00 Access Control 00:08:00 VidJot Prep & Deployment Preparing Our App For Deployment 00:08:00 Deploying To Heroku 00:08:00 Adding a Domain Name 00:04:00 StoryBooks Project Start & Google OAuth StoryBooks App Introduction 00:04:00 Initial Setup & Heroku Push 00:11:00 Creating Our Google OAuth Credentials 00:08:00 Creating Our Google Strategy 00:12:00 Auth Callback & Remote App 00:09:00 Creating The User Model 00:06:00 Saving The Authenticated User 88 00:10:00 Adding Session & Authentication 00:12:00 Creating Our Ul Index Routes & Handlebars 00:12:00 Header & Navbar 00:09:00 Side Navigation 00:09:00 Dashboard & Stories Routes 00:09:00 Add Button & Footer 00:10:00 Restricting Routes 00:06:00 Add Story Form 00:11:00 Stories & The Database Create The Story Model 00:06:00 Save Story To MongoDB 00:13:00 Fetch & Display Public Stories 00:12:00 Handlebars Helpers 00:07:00 Show Template & Format Date 00:11:00 Creating The Dashboard 00:12:00 Edit Form & Select Helper 00:09:00 Updating Stories 00:08:00 Deleting Stories 00:04:00 Comments, Access control & Cleanup Add Comment Functionality 00:10:00 Listing Comments 00:04:00 Edit Access Control 00:10:00 Get Stories From Specific Users 00:07:00 Block Private Story Details Page 00:05:00 StoryBooks Prep & Deployment Prep & Production Key Variables 00:08:00 Deploy & Test 00:05:00 Domain & Update Google OAuth Creds 00:05:00
Cloud Computing Essentials Overview Imagine accessing computing power as vast as the sky, scaling it up or down with the agility of a feather, and only paying for what you use. Cloud computing makes this dream a reality, revolutionizing the way we store, manage, and process data. This 'Cloud Computing Essentials' course is your launchpad into this transformative technology, empowering you to navigate the digital stratosphere with confidence. Unravel the mysteries of the cloud as we delve into its core principles and delve into its diverse service models. Explore the compelling reasons businesses are migrating to the cloud, discovering the cost-efficiency, scalability, and agility it offers. Compare and contrast public, private, and hybrid cloud deployments, understanding their unique strengths and suitability for different scenarios. Master key cloud concepts like Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), uncovering their functionalities and use cases. Grasp the economic advantages of cloud computing, including economies of scale and the shared responsibility model. By the end of this journey, you'll be equipped to harness the power of the cloud and elevate your career to new heights. Why You Should Choose Cloud Computing Essentials Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Cloud Computing Essentials is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Cloud Computing Essentials is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Cloud Computing Essentials Introduction 00:04:00 The Need for Cloud Computing 00:13:00 What is Cloud Computing - I 00:05:00 What is Cloud Computing- II 00:06:00 Benefits of Cloud Computing 00:09:00 CapEx Vs OpEx 00:03:00 What are Public Clouds 00:02:00 Characteristics of Public Cloud 00:01:00 What are Private Clouds 00:01:00 Characteristics of Private Cloud 00:02:00 What are Private Clouds 00:01:00 What is Hybrid Cloud 00:01:00 Characteristics of Hybrid Cloud 00:01:00 Review and What Next!! 00:01:00 What is Infrastructure as a service 00:04:00 Use cases of IAAS 00:02:00 What is Platform as a Service? 00:02:00 Use cases of PAAS 00:04:00 What is Software as a Service 00:02:00 Key Concepts and Terminology 00:06:00 Economies of Scale 00:01:00 What is Shared Responsibility model 00:09:00
Explore the Apache Kafka ecosystem and architecture, and learn client API programming in Java
Apache NiFi, a robust, open-source data ingestion/distribution framework, is the core of Hortonworks DataFlow (HDF)
Description: Microsoft Azure is a cloud computing service formerly known as Windows Azure. This cloud computing service is a big part of Microsoft's business, and it competes with similar services from Amazon and Google. With this diploma in Microsoft Azure 2017 course, get a chance to learn about the fundamentals of working in a Microsoft Azure environment to help improve your business. This course will help you get started with Microsoft Azure technologies such as virtual machines, networking, identity, storage and infrastructure. You will get to learn how Microsoft Azure can help you build and manage your business's applications and cloud services and help improve overall business productivity. So why wait? Join this course now! Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Diploma in Microsoft Azure 2017 is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Diploma in Microsoft Azure 2017 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Microsoft Azure 2017 Hello Azure FREE 00:23:00 Subscriptions 00:16:00 Management Portals 00:33:00 App Service 00:22:00 App Settings 00:12:00 Hosting Plans 00:19:00 Deployments 00:22:00 Monitoring 00:15:00 Application Insights 00:25:00 Debugging Part 00:23:00 Function Apps 00:37:00 DevOps 101 00:12:00 Work Backlog 00:19:00 Code 00:12:00 Build 00:10:00 Release 00:12:00 Testing 00:06:00 Mock Exam Mock Exam- Diploma in Microsoft Azure 2017 00:20:00 Final Exam Final Exam- Diploma in Microsoft Azure 2017 00:20:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00
Learn Python OOP language used diversely in applications like data science, game/web development, machine learning, and AI. This course provides all you need to master OOPs like classes, objects, data abstraction, methods, overloading, and inheritance. The course primarily aims to help you tackle complex programming and use OOP paradigms efficiently.
Embark on your journey into the world of programming with our Ultimate Python Training for Beginners Course. Learn the fundamentals of Python from scratch, master essential coding concepts, and build your own projects. Start your programming career today with expert guidance and hands-on practice.
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This course will equip you with the essential knowledge and skillset that will make you a confident game designer and take your career to the next level. This comprehensive create professional 2D game assets with inkscape course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this 2D game assets course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective 2D game design practice and equip you with the essential skills, confidence and competence to assist you in the 2D game design industry. You'll gain a solid understanding of the core competencies required to drive a successful career in 2D game design. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. 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Entry Requirements This create professional 2D game assets with inkscape course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This create professional 2D game assets with inkscape course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This create professional 2D game assets with inkscape course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Welcome to Inkscape Introduction 00:02:00 Drawing in Inkscape Drawing your First Object 00:07:00 Working With Multiple Objects 00:00:00 Colors in Inkscape 00:06:00 Path Operations - Creating Simple Shapes 00:09:00 Gradients and Groups 00:10:00 Modify Path - the Best Way Refine Your Objects 00:09:00 Use What You Learned: Draw a Bomb in Inkscape 00:09:00 Exporting Export Bitmap Image 00:06:00 How and Why to Save to SVG 00:03:00 GUI Elements - Creating Buttons First Step - Learn the Text Tool 00:06:00 Button States 00:05:00 Buton Variations 00:17:00 Creating Platforms Design a Basic Platform 00:07:00 Tiling Platforms 00:08:00 Platform Mutations 00:08:00 Design and Animate Game Characters Draw and Move a Character for a Top Down Shooter 00:08:00 Design a a Game Hero 00:10:00 Character Poses 00:11:00 Practice Animation: The Blob 00:14:00 Set up and Understand a More Complex Walk Cycle 00:14:00 Finish the Walk Cycle 00:08:00 Background For Your Games Understanding Backgrounds 00:05:00 Tiling Backgrounds 00:14:00 Add Foreground Elements 00:19:00 Background Variations 00:17:00 More Tips and Tricks and Real Life Case Studies Modularity - be More Creative and Efficient 00:11:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00
Discover the thrilling world of artificial intelligence with the 'Machine Learning Course with Python'. Immerse yourself in a voyage from foundational concepts, unveiling the mysteries behind algorithms, to diving deep into the cores of preprocessing, regression, and classification. Crafted meticulously, this course introduces Python as the catalyst, opening doors to data-driven decision-making and predictive analysis, empowering your journey in the ever-evolving field of machine learning. Learning Outcomes Grasp the foundational knowledge of various machine learning algorithms. Attain proficiency in preprocessing data for optimal outcomes. Master the nuances of regression analysis using Python. Delve into the intricacies of classification techniques. Enhance problem-solving abilities with practical Python-driven machine learning applications. Why choose this Machine Learning Course with Python course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Machine Learning Course with Python Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Machine Learning Course with Python course for? Aspiring data scientists eager to harness the power of machine learning. Python enthusiasts aiming to delve into its applications in AI. Professionals in the tech industry seeking a transition into data roles. Academics and researchers wanting to employ machine learning in their work. Business analysts aiming to leverage predictive analytics for better insights. Career path Data Scientist: £40,000 - £70,000 Machine Learning Engineer: £50,000 - £80,000 AI Researcher: £45,000 - £75,000 Data Analyst: £30,000 - £50,000 Python Developer: £35,000 - £65,000 Business Intelligence Developer: £40,000 - £60,000 Prerequisites This Machine Learning Course with Python does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Course with Python was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: Introduction to Machine Learning Algorithms Introduction to types of ML algorithm 00:02:00 Module 02: Preprocessing Importing a dataset in python 00:02:00 Resolving Missing Values 00:06:00 Managing Category Variables 00:04:00 Training and Testing Datasets 00:07:00 Normalizing Variables 00:02:00 Normalizing Variables - Python Code 00:03:00 Summary 00:01:00 Module 03: Regression Simple Linear Regression - How it works? 00:04:00 Simple Linear Regreesion - Python Implementation 00:07:00 Multiple Linear Regression - How it works? 00:01:00 Multiple Linear Regression - Python Implementation 00:09:00 Decision Trees - How it works? 00:05:00 Random Forest - How it works? 00:03:00 Decision Trees and Random Forest - Python Implementation 00:04:00 Module 04: Classification kNN - How it works? 00:02:00 kNN - Python Implementation 00:10:00 Decision Tree Classifier and Random Forest Classifier in Python 00:10:00 SVM - How it works? 00:04:00 SVM - Python Implementation 00:06:00 Assignment Assignment - Machine Learning Course with Python 00:00:00