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10X Developer Productivity: GitHub Copilot, Amazon Q, Claude

  • Accelerate Development: Use GitHub Copilot and Amazon Q for faster coding in Python, ReactJS, Spring Boot and other programming languages with test automation
  • Efficiently Learn and Integrate New Tech Stacks: Quickly master Python, ReactJS, and Spring Boot, using scaffolded setups to streamline, accelerate development
  • Master Prompt Engineering for Effective Code Generation: Craft precise prompts to maximize GitHub Copilot's code generation capabilities, ensuring high-quality

Course Content

21 sections • 98 lectures • 8h 2m total length

4.9 (2 reviews)

₹ 799

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8 hours on-demand video
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  • Agenda
  • Introduction
  • Udemy Ratings and Reviews
  • Exploring Key Features of GitHub Copilot
  • Signing up for GitHub Copilot
  • Setup inside Visual Studio Code
  • Optional – Setup inside Intellij
  • Building the Foundation: Scaffolding a Python Application with GitHub Copilot
  • Create Python Modules
  • Initializing App and Database with GitHub Copilot
  • Streamlining App Launch, Testing, and curl CLI Generation with Copilot
  • Effortless ReactJS App Scaffolding with GitHub Copilot
  • Using Copilot to Add a Product Route in ReactJS
  • Managing Products: List, Create, and Update with Copilot
  • Enhancing UI: Add Bootstrap and Navigation Using Copilot
  • Debugging Terminal Errors with GitHub Copilot
  • GitHub Copilot: Automating Unit Test Creation
  • Selenium Automation for CRUD Operations with GitHub Copilot
  • Extra – Selenium Automation using Java and NodeJS
  • Quick Start: Scaffold a Java Application Using Copilot
  • Sorting, Filtering, and Pagination with Copilot Assistance
  • Exporting Books to Excel Using Copilot
  • Write Unit Tests using Copilot
  • Build Swagger API Docs with GitHub Copilot
  • Learn to Simplify Code with GitHub Copilot
  • Extra – Authentication and Containerization
  • Setting up SQLTools in Visual Studio for database management
  • Installing Oracle Client/Driver for SQLTools
  • Establishing a connection to Oracle Database
  • Creating a Products Table
  • Adding Constraints and Indexes
  • Resolving Syntax Errors
  • Creating a SKU Table with Foreign Key Constraints
  • Generating Product Test Data with Mockaroo
  • Generating SKU Test Data with Mockaroo
  • Loading Product Data via CSV with SQL*Loader
  • Loading SKU Data via CSV with SQL*Loader
  • Creating a Procedure for Adding a New Product
  • Enhancing Procedure with Constraint Validation
  • Creating a Function and Resolving Terminal Errors
  • Exploring Inner Join, Left Outer Join, Right Outer Join, and Full Outer Join
  • Add Categories Table with Test Data and Join with Products
  • Subqueries and Common Table Expressions
  • Scaffold a New Selenium Application for The Internet Herokuapp
  • Implementing and Executing Login Tests with GitHub Copilot
  • Automating Dropdown Functionality Tests with GitHub Copilot
  • Creating and Automating Dynamic Loading Tests Using GitHub Copilot
  • Automating File Upload Tests Using GitHub Copilot
  • Free Tier – Install Amazon Q on Visual Studio
  • Exploring Basic Features – Build a Chat Application using Amazon Q
  • Scaffold Expense Tracker Application using Amazon Q
  • Create a Postman Collection using Amazon Q
  • Compile and Test the Application
  • Enhance the application using Dev Command
  • Inline Suggestions
  • Create Project Documentation
  • Fix the Issues with the Code
  • Generate the Unit Tests
  • Optimize the Code
  • Querying the Code using Chat
  • Refactor the Code
  • Optional – Migration Process Walkthrough
  • Migrate Java Application using Amazon Q
  • Build a ReactJS Counter Application using Amazon Q
  • Optional – Introduction to Amazon Q Chat
  • Optional – Troubleshooting AWS Services
  • Troubleshooting AWS Resources
  • Cost Explorer
  • Optional – Introduction
  • Optional – Working of CLI
  • Install CLI
  • Autocomplete Commands
  • Translate Text to Commands
  • Create an Architecture Diagram
  • Create UML Diagrams
  • Create the Sequence and Class Diagrams
  • Need for MCP – Current Solutions and their Limitations –
  • Client Server Architecture
  • MCP Architecture
  • MCP Server Components
  • MCP Transport Types
  • MCP Flow – Server, Client and Host communication over Transport layer
  • Install Dependencies with UV package
  • Walkthrough Weather API
  • Invoke Weather API
  • Getting MCP Server Ready
  • MCP Host, Client and Server
  • MCP Inspector
  • Integrate Claud Desktop with Github
  • Github MCP Server on local Docker and Claude Desktop
  • MCP with Github, Docker and Claude
  • Optional – GitHub Copilot Prompt Engineering
  • Optional – GitHub Copilot Context
  • Course Conclusion
  • Thank You!
  • Bonus

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