Free Download GitHub Copilot Masterclass for Java, Spring & IntelliJ DevsPublished 4/2026
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Language: English |
Duration: 4h 33m |
Size: 6.36 GB
A Project Driven Approach to Mastering the Art of Modern Software Development in GitHub Copilot with Java & IntelliJ
Transform IntelliJ into a fully AI-powered Java development environment
Speed up project setup, architecture, and coding across Spring Boot, Quarkus, and Jakarta EE
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 Quarkus APIs and build native executables with GraalVM
Push Copilot toward modern Java 25+ idioms and stronger enterprise Java development practices
Create reusable Copilot skill files that teach your LLM how you want applications designed and implemented
Build instruction files that dramatically improve the consistency, quality, and architecture of generated code
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 IntelliJ in more powerful ways
Build enterprise Java 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 Spring Boot, Quarkus, and Jakarta EE
RequirementsThe only prerequisite is a love of programming, an IDE that supports GitHub Copilot and a bit of knowledge of Java.
DescriptionThis 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 Java developer needs to know to become both capable and confident with GitHub Copilot and the broader ecosystem of Java frameworks and MCP tools that empower modern, enterprise software developers.
You'll learn about how GitHub Copilot works, how to effectively structure your LLM-driven projects in IntelliJ, 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 IntelliJ and get up and running fast
• How to use Ask, Agent, and Planning modes to work more effectively as a Java 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 Snake game and a JavaFX app
Spring, Quarkus, Micronaut and Jakarta EE Development
• How to build Spring Boot RESTful APIs with GitHub Copilot
• How to steer Copilot with prompt artefacts for better results
• How to push your LLM toward Java 25 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 Java practices
• How to build global skills for persistence, deployment, and reusable development patterns
• How to create Java 25 and Jakarta EE instruction files
• 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 IntelliJ, Chrome DevTools, 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 Java Developer needs
This course is built for Java 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 Java, 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.
Who this course is forJava developers, software engineers and vibe coders will love this course.
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