Learn to build and deploy full-stack Java apps using AI tools like Cursor IDE and GitHub Copilot within IntelliJ IDEA
Description
Step into the future of software development with Agentic Coding — a revolutionary approach to building software using AI tools like Cursor IDE and GitHub Copilot within IntelliJ IDEA.
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In this hands-on course, you’ll learn how to collaborate with AI agents to write, refactor, and debug code more efficiently than ever before. Whether you’re a Java developer or new to full-stack development, you’ll gain practical skills by building real-world applications guided by AI.
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What You’ll Build:
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A full-stack web application using Spring Boot and Thymeleaf
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A simple desktop Java application with a user interface
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A deployed, publicly accessible web app
What You’ll Learn:
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How to use the Cursor IDE as your AI development assistant
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How to boost productivity with Copilot in IntelliJ IDEA
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The principles and practice of agentic coding (aka vibe coding)
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How to structure Java projects and build UIs using Spring Boot and Thymeleaf
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How to deploy your applications so they’re accessible online
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How to use AI agents to develop any type of application — faster and smarter
By the end of this course, you will:
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Understand how to work with AI agents in your development process
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Be capable of creating and deploying Java web applications
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Know how to apply agentic coding techniques to streamline any project
Whether you’re an aspiring software engineer or a seasoned developer looking to modernize your workflow, this course will give you the tools to build better software with less effort, with AI by your side.
Enroll now and unlock the power of agentic coding.
Total Students | 1196 |
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Duration | 1 hour |
Language | English (US) |
Original Price | |
Sale Price | 0 |
Number of lectures | 16 |
Number of quizzes | 0 |
Total Reviews | 3 |
Global Rating | 5 |
Instructor Name | Anton Voroniuk |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
86% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 1 hour
- Practical value: 8/10
Roadmap Fit
- Beginner → Beginner → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
- Hands On
- Practical
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Hands On
- Practical
- Project
- Step By Step
- Real World
Watch-outs
- Too fast
- Too slow
- Theory only
Difficulty
Best suited for
New learners starting from zero, Doers who prefer project-led learning, Learners who like theory + frameworks
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