Published 4/2026
Created by Cameron McKenzie
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 42 Lectures ( 4h 53m ) | Size: 8 GB
A Project Driven Approach to Mastering the Art of Modern Software Development in Python, Java, Node, TypeScript & VSCode
What you’ll learn
✓ Transform VSCode into a fully AI-powered, full-stack development environment
✓ Speed up project setup, architecture, and coding across Python, Node, JavaScript and Jakarta EE applications
✓ Generate cleaner, more useful code by steering Copilot with better prompts, prompt artefacts, skill files, and instruction files
✓ Extend AI-assisted development beyond the IDE with the GitHub Copilot CLI
✓ Design and build microservices with OpenAPI, Python’s FastAPI, ExpressJS, Flask, Django and even Spring Boot
✓ Push Copilot toward modern, full-stack idioms and stronger enterprise development practices
✓ Create reusable Copilot skill files that teach your LLM how you want applications designed and implemented
✓ Accelerate full-stack application development by guiding Copilot through backend, frontend, configuration, and persistence tasks
✓ Create and use custom agents to break complex software work into smarter, more manageable development flows
✓ Configure and connect MCP servers so GitHub Copilot can work with tools like Jira, Chrome DevTools, and VSCode in more powerful ways
✓ Build full-stack applications dramatically faster by combining Copilot with a practical enterprise development workflow
✓ Eliminate common development slowdowns like configuration mistakes, port conflicts, and logging confusion
✓ Speed up project setup, architecture, and coding across TypeScript, Python, JavaScript, Jakarta EE, and Java applications
Requirements
● The only prerequisite is a love of programming, an IDE that supports GitHub Copilot and a bit of programming knowledge.
● A passion for solving puzzles, fixing problems and creative thinking will go a long way as well.
Description
This isn’t your typical Udemy course. That’s one thing I can assure you.
A Better Way to Learn
In this course, you won’t find any long PowerPoint presentations or teleprompter driven lectures that put you to sleep. That’s a promise.
I’ve always believed that training has to be project driven, and that the best learning happens when a developer gets hands on experience with the tools, technologies and APIs they have to master.
I have also always believed that conversations are better than slideshows, and that the mantra that shapes this entire course.
What This Course Covers
So what do we cover in this course?
Quite frankly, we’ll cover everything a full-stack developer needs to know to become both capable and confident with GitHub Copilot and the broader ecosystem of popular frameworks and MCP tools that empower modern, full-stack, software developers.
You’ll learn about how GitHub Copilot works, how to effectively structure your LLM-driven projects in VSCode, and you’ll learn how to architect and design modern applications so you can get the most out of AI-enabled tools.
What You Will Build and Learn
This is a hands-on masterclass packed with practical topics, tasks, and real projects. Here’s a non-exhaustive list of the tools, technologies and frameworks covered in this course, along with the projects that drive that learning
GitHub Copilot Fundamentals
• How to install GitHub Copilot in VSCode and get up and running fast
• How to use Ask, Agent, and Planning modes to work more effectively as a full-stack developer
• How to use inline suggestions, edits, and guided prompting to write code faster
• How to explain code, fix bugs, and generate tests with Copilot
• How to build practical starter projects like a web-based Snake game and a stand-alone Python app
Python, JavaScript, NodeJS, TypeScript and Java Development
• How to build contract-first RESTful APIs with OpenAPI and GitHub Copilot
• How to steer Copilot with prompt artefacts for better results
• How to push your LLM toward the latest language features and modern coding practices
• How to fix common problems like devtools reload issues, port conflicts, and logging challenges
• How to improve application setup and workflow in real development scenarios
Skills, Instructions, and Reusable Guidance
• How to create skill files that improve the quality of Copilot’s generated code
• How to teach your LLM stronger RESTful API and enterprise, full-stack development practices
• How to build global skills for persistence, deployment, and reusable development patterns
• How to create instruction files for Python, Node and Jakarta EE development
• How to dramatically improve Copilot output with better guidance
Custom Agents and Smarter AI Workflows
• How to understand custom agents and where they fit into software development
• How to build projects using agent-based workflows
• How to design handoffs between agents with different responsibilities
• How to use memorable agent examples like the Cautious Captain, Planning Pirate, and Building Buccaneer
• How to use advanced Copilot workflows on more complex applications
MCP, Chrome DevTools, Jira Connectivity and the Copilot CLI
• How to use Model Context Protocol to expand what GitHub Copilot can do
• How to connect MCP servers to VSCode, Chrome DevTools, SonarQube and Jira
• How to audit websites for performance, SEO, accessibility, and vulnerabilities with MCP tools
• How to use the GitHub Copilot CLI from the command line
• How to build, review, ship, and manage code from the terminal with Copilot support
What This Course Will Do for You
This masterclass will not teach you everything there is to know about GitHub Copilot. No course can, especially given how quickly the AI-augmented, coding landscape is changing.
What this GitHub Copilot Masterclass will do is teach you everything you need to know to understand and explore GitHub Copilot with confidence, competence, and credibility, even as the AI landscape changes and grows.
The GitHub Copilot Masterclass that Every Full-Stack Developer needs
This course is built for full-stack developers who want to move into the AI space and do it the right way.
It is designed to help you get started, keep progressing, and maintain the pace of learning required to stay current with the rapid changes happening across the full-stack, Copilot, machine learning, and Agentic AI space.
If you want a practical, project-driven course that helps you build real skills, and maybe even have a bit of fun while doing it, this course is made for you.
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