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GitHub Copilot Masterclass for Java, Spring, AI and IntelliJ
Rating: 4.5 out of 5(83 ratings)
570 students

GitHub Copilot Masterclass for Java, Spring, AI and IntelliJ

A Project Driven Approach to Mastering the Art of Modern Software Development in GitHub Copilot with Java and IntelliJ
Created byCameron McKenzie
Last updated 6/2026
English
English [Auto],

What you'll learn

  • 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

Course content

7 sections • 36 lectures • 4h 52m total length

  • Introduction to the GitHub Copilot Masterclass for Enterprise Java Developers4:32

    Learn to master GitHub Copilot for enterprise Java in a hands-on seven-day project-based course inside IntelliJ, covering prompts, prompt engineering, skills, instruction files, agents, and the Copilot command line interface.

  • How to Install GitHub Copilot in IntelliJ and Smoke Test with a Snake Game4:25

    Install the GitHub Copilot plugin in IntelliJ, sign in, and smoke test by generating a browser-based snake game in HTML, JavaScript, and CSS, using agent and planning modes.

  • Build Your First Java Project with GitHub Copilot's Ask, Agent & Planning Modes13:56

    Learn to build your first Java project with GitHub Copilot in IntelliJ, using ask, agent, and plan modes to query versions, update the pom, run Maven, and write code safely.

  • From Ghost Code to Inline Editing - How to Write Code with GitHub Copilot7:41

    Create a new Java class and generate add, subtract, and divide methods with GitHub Copilot, convert ghost code to real code using tab, and explore inline editing and agent modes.

  • Explain, Fix and Setup Tests with Built-In GitHub Copilot Prompts9:39

    Explore built-in GitHub Copilot prompts to explain, fix, simplify, and test code, auto‑generate and run Maven tests with JUnit in Java projects.

  • Build an Interactive JavaFX App with GitHub Copilot in Less Than 5 Minutes8:25

    Build an interactive JavaFX calculator front end with GitHub Copilot in minutes, demonstrating standalone desktop apps, front-end integration with a calculator class, and rapid UI iterations in IntelliJ.

Requirements

  • The only prerequisite is a love of programming, an IDE that supports GitHub Copilot and a bit of knowledge of Java.
  • 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 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 for:

  • Java developers, software engineers and vibe coders will love this course.

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