Learn to build and deploy full-stack Java apps using AI tools like Cursor IDE and GitHub Copilot within IntelliJ IDEA
β±οΈ Length: 1.2 total hours
β 4.17/5 rating
π₯ 9,762 students
π September 2025 update
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- Course Overview
- Embark on a transformative journey into the future of software development with Agentic Coding: Full-Stack Java Apps with Cursor and Copilot. This intensive, 1.2-hour course is meticulously designed to equip aspiring and experienced developers alike with the cutting-edge skills to architect, build, and deploy robust full-stack Java applications, leveraging the power of artificial intelligence.
- Move beyond traditional coding paradigms and embrace AI-assisted development workflows. You will learn to harness the intelligent capabilities of Cursor IDE, a revolutionary IDE built for AI, and the contextual code generation prowess of GitHub Copilot, seamlessly integrated within the familiar and powerful environment of IntelliJ IDEA.
- This course is not merely about learning a new tool; it’s about fundamentally changing *how* you code. We will explore how AI can act as an intelligent pair programmer, accelerating development cycles, reducing boilerplate code, and enabling you to focus on complex problem-solving and innovative features.
- The curriculum is structured to provide a comprehensive, yet concise, understanding of integrating AI into the full-stack development lifecycle. From initial project setup and intelligent code generation to debugging and deployment strategies, every facet of building modern Java applications will be explored through an AI-augmented lens.
- With a stellar 4.17/5 rating from over 9,762 students and updated in September 2025, this course represents a highly valued and current educational resource in the rapidly evolving tech landscape.
- Requirements / Prerequisites
- A foundational understanding of Java programming is essential. Familiarity with core Java concepts, syntax, and object-oriented principles will allow you to fully grasp the AI-driven code generation and manipulation techniques.
- Basic knowledge of web development fundamentals, including concepts like HTTP, RESTful APIs, and client-server architecture, will be beneficial for understanding the full-stack application context.
- Prior experience with IntelliJ IDEA, while not strictly mandatory, is highly recommended. The course leverages its advanced features and integrates AI tools within this IDE, making familiarity a significant advantage.
- Access to a computer with a stable internet connection is required for downloading necessary software and participating in practical exercises.
- A willingness to embrace new technologies and experiment with AI-powered development tools is paramount. The course encourages an open mind and an iterative approach to learning.
- Skills Covered / Tools Used
- AI-Assisted Code Generation: Master the art of prompting Cursor and Copilot to generate Java code snippets, classes, methods, and even entire components based on natural language descriptions.
- Intelligent Refactoring and Code Completion: Learn how AI can intelligently suggest code improvements, refactor existing code for better readability and performance, and provide highly contextual code completion.
- Full-Stack Java Architecture: Gain practical experience in building comprehensive full-stack applications using popular Java frameworks and libraries, enhanced by AIβs predictive capabilities.
- Cursor IDE Mastery: Become proficient in utilizing Cursor’s unique features, including its deep code understanding, AI-powered documentation lookup, and seamless integration with LLMs.
- GitHub Copilot Integration: Leverage Copilot’s ability to suggest code in real-time within IntelliJ IDEA, accelerating your coding speed and reducing the likelihood of syntax errors.
- Intelligent Debugging Techniques: Explore how AI can assist in identifying bugs, suggesting potential fixes, and explaining complex error messages, thereby streamlining the debugging process.
- Deployment Strategies with AI Assistance: Understand how AI tools can aid in preparing applications for deployment, generating configuration files, and even assisting in script creation for deployment pipelines.
- Natural Language to Code Translation: Develop the skill of articulating your development needs clearly in natural language to effectively guide AI code generation tools.
- Efficient Boilerplate Code Reduction: Discover strategies to significantly minimize manual writing of repetitive code through intelligent AI assistance.
- Benefits / Outcomes
- Accelerated Development Velocity: Significantly reduce the time spent on coding, debugging, and refactoring, allowing you to deliver features faster and more efficiently.
- Enhanced Code Quality: Benefit from AI’s ability to suggest best practices, identify potential issues, and generate more robust and well-structured code.
- Increased Developer Productivity: Free up your cognitive load by offloading routine coding tasks to AI, enabling you to focus on higher-level design and problem-solving.
- Future-Proof Your Skillset: Become an early adopter of AI-driven development, positioning yourself at the forefront of the evolving software engineering landscape.
- Mastery of Modern Development Tools: Gain hands-on expertise with cutting-edge AI coding assistants and IDEs that are rapidly becoming standard in the industry.
- Greater Confidence in Building Complex Applications: Empower yourself to tackle more ambitious full-stack projects with the support of intelligent coding partners.
- Improved Learning Curve for New Technologies: Leverage AI to quickly understand and implement new libraries, frameworks, and architectural patterns.
- A Competitive Edge in the Job Market: Differentiate yourself by showcasing proficiency in AI-augmented development, a highly sought-after skill.
- PROS
- Highly topical and future-oriented curriculum.
- Practical, hands-on approach to AI in coding.
- Focus on a well-regarded and powerful IDE (IntelliJ IDEA).
- Excellent student ratings and a large existing student base.
- Concise delivery for busy professionals.
- CONS
- Short duration might limit depth on highly complex topics.
Learning Tracks: English,Development,Web Development
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