Your cart is empty.
Keep shoppingGitHub Copilot, Claude Code, MCP, Skills : Dev Bootcamp 2026
3,761 students
GitHub Copilot, Claude Code, MCP, Skills : Dev Bootcamp 2026
Write Python, Java, ReactJS, SQL & Selenium Code, Amazon Q w/ Github Copilot, Claude Code, AI Agents, Skills, MCP [2026]
Created byFirstlink Consulting
Last updated 12/2025
English
What you'll learn
- 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
- Creating Postman Collection and Test Automation Scripts using GitHub CoPilot and Amazon Q
- Accelerate RDBMS PL/SQL Development with GitHub Copilot
- Selenium Automation using Copilot and Amazon Q
Explore related topics
Course content
28 sections • 127 lectures • 9h 52m total length
Requirements
- Basic Programming Knowledge: Familiarity with at least one programming language such as Python, JavaScript, Java or Similar.
- Understanding of Development Environments: Basic knowledge of using Integrated Development Environments (IDEs) like VS Code, IntelliJ, or similar tools.
- Curiosity and Willingness to Learn: An open mind to learn new tools and technologies to enhance coding productivity and efficiency.
Description
This GitHub Copilot Course transforms your software development workflow with this end-to-end Generative AI Programming Bootcamp, designed to help you become a 10X more productive developer using GitHub Copilot, Amazon Q, Claude Code, and MCP architecture. Whether you’re a Python developer, Java Spring Boot engineer, ReactJS frontend developer, PL/SQL programmer, Selenium automation tester, or AWS cloud engineer, this course shows you how to accelerate every part of the development lifecycle using AI-powered coding tools.
Master generative AI for developers with hands-on projects in Python application scaffolding, ReactJS component development, Java enterprise applications, database programming with AI assistance, automated testing with Selenium, and AWS CLI automation. Learn prompt engineering techniques for optimal AI code generation, automated unit testing, integration testing, and deployment automation.
Perfect for software developers, full-stack engineers, DevOps engineers, QA automation testers, and programming beginners wanting to leverage artificial intelligence tools for accelerated software development. Course includes real-world projects, AI coding best practices, and comprehensive training in GitHub Copilot, Amazon Q developer assistant, and generative AI programming workflows.
Complete AI Development Mastery - What You'll Learn:
GitHub Copilot & Amazon Q Fundamentals
AI pair programming with GitHub Copilot for faster code development
Amazon Q developer assistant for AWS cloud development and troubleshooting
Generative AI prompt engineering for optimal code generation
AI code completion and intelligent code suggestions
Machine learning for developers - practical AI coding applications
Python Development with AI Assistance
Python application scaffolding using GitHub Copilot auto-generation
Automated Python code writing with AI-powered suggestions
Python unit testing automation using generative AI tools
Python debugging with artificial intelligence assistance
Flask and Django development accelerated by AI coding tools
Java & Spring Boot AI Development
Spring Boot application creation with GitHub Copilot assistance
Java enterprise development using AI code generation
RESTful API development with automated code completion
Java unit testing and integration testing with AI tools
Maven and Gradle project management with AI assistance
ReactJS & Frontend Development
React component development using AI-powered code generation
JavaScript ES6+ programming with GitHub Copilot assistance
Frontend testing automation with AI-generated test cases
React hooks and state management using AI coding assistance
API integration and axios configuration with AI tools
Database Development & PL/SQL
SQL query optimization using AI-powered suggestions
PL/SQL procedure development with GitHub Copilot assistance
Database schema design using artificial intelligence tools
Oracle database programming with AI code generation
Database testing automation and performance optimization
Selenium Test Automation
Selenium WebDriver automation with AI-generated test scripts
Cross-browser testing using AI-powered test case creation
Page Object Model implementation with GitHub Copilot
TestNG and JUnit integration with AI assistance
Automated regression testing using generative AI tools
AWS Cloud Development
AWS CLI automation with Amazon Q assistance
Cloud infrastructure setup using AI-powered guidance
AWS services integration with AI coding assistance
Cloud cost optimization using Amazon Q insights
DevOps automation with AI-generated scripts
MCP
MCP Architecture
MCP Server Components and Transport Types
MCP Flow - Server, Client and Host communication over Transport layer
MCP Hands On
Claude Code
Claude Code Installation
Claude Code Architecture
Claude Code - Slash Commands
Claude Code - Memory
Claude Code - MCP
Claude Code - Sub Agents
Claude Code - GitHub Workflow
Claude Code - Hooks
Through practical examples and hands-on exercises, you will reinforce your learning and gain the confidence to apply these skills in real-world scenarios. Expert guidance from experienced instructors will support you throughout the course, and you'll have the opportunity to join a community of learners for sharing experiences, asking questions, and collaborating on projects.
By the end of this course, you'll be proficient in using GitHub Copilot and Amazon Q to enhance your coding productivity, integrate new technologies efficiently, and follow best practices for code management and collaboration. Join us and take your development skills to the next level!
Who this course is for:
- This GitHub Copilot and Amazon Q course is designed for developers and programmers of all levels who want to enhance their coding productivity using GitHub Copilot. Whether you're a beginner looking to accelerate your learning curve, an intermediate developer aiming to streamline your workflow, or an experienced programmer seeking to integrate AI-powered assistance into your development process, this course offers valuable insights and practical skills.
- Beginners: New programmers who want to learn how to use GitHub Copilot and Amazon Q to write code faster and with fewer errors, gaining a head start in their coding journey.
- Intermediate Developers: Those who are already comfortable with programming and are looking to improve their efficiency by leveraging AI-powered GitHub Copilot and Amazon Q Udemy code suggestions.
- Experienced Programmers: Seasoned developers who want to explore advanced features of GitHub Copilot and Amazon Q to further enhance their productivity and adopt new best practices.
- Software Engineers: Professionals working in various fields of software development who seek to integrate AI tools into their daily workflows to boost productivity.
- Coding Enthusiasts: Individuals passionate about coding and eager to explore the latest tools and technologies to stay ahead in the tech industry.
- This course will equip learners with the skills to effectively use GitHub Copilot and Amazon Q, ensuring they can maximize its potential to write high-quality, efficient code across various programming languages and development environments.