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 4.31/5 rating
π₯ 6,570 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 revolutionizes how you approach building and deploying robust Java applications by integrating cutting-edge AI assistance. Designed for developers eager to accelerate their workflow and enhance their coding prowess, this program dives deep into the synergy between human ingenuity and artificial intelligence.
- You’ll explore the concept of “agentic coding,” a paradigm shift that leverages AI as an active partner in the development lifecycle, enabling faster iteration, smarter problem-solving, and more intuitive application creation. Through hands-on demonstrations and practical insights, the course demystifies the process of harnessing tools like the AI-powered Cursor IDE and the intelligent GitHub Copilot within the familiar IntelliJ IDEA environment.
- This course is not just about learning new tools; it’s about fundamentally reimagining your development process. By the end, you’ll be equipped to tackle complex full-stack Java projects with newfound confidence and efficiency, understanding how to guide AI agents to produce high-quality, deployable applications.
- Target Audience
- This course is ideal for Java developers, from beginners looking to gain an edge in the modern development landscape to experienced professionals seeking to optimize their productivity and embrace AI-driven coding practices.
- Software engineers and aspiring developers interested in mastering full-stack application development with a focus on intelligent automation.
- Individuals keen on understanding and implementing the principles of agentic or “vibe” coding to streamline their software creation process.
- Students and professionals preparing for the evolving demands of the tech industry, where AI integration in coding is becoming increasingly crucial.
- Key Learning Pathways
- AI-Enhanced Project Setup: Discover how to initiate and configure Java projects, specifically leveraging AI’s assistance in setting up foundational structures and dependencies, making the initial stages of development significantly smoother and quicker.
- Intelligent Code Generation & Refinement: Explore advanced techniques for generating boilerplate code, writing complex algorithms, and refactoring existing code segments with AI-driven suggestions, significantly reducing manual coding effort and improving code quality.
- Context-Aware Development: Understand how AI tools analyze your project’s context to provide highly relevant code completions, bug fixes, and architectural suggestions, fostering a more intuitive and responsive development experience.
- Bridging the Gap from Code to Cloud: Learn to transition your developed applications from local environments to live, accessible online deployments, with AI potentially assisting in identifying deployment configurations and troubleshooting common issues.
- Strategic AI Integration: Gain insights into strategically employing AI agents throughout the entire application development lifecycle, from initial concept and design to testing and deployment, enabling a holistic and efficient approach to building any software.
- Skills Covered / Tools Used
- Agentic Coding Principles: Grasp the philosophy and practical application of AI-assisted development, understanding how to collaborate effectively with AI to achieve desired outcomes.
- Cursor IDE Mastery: Develop proficiency in utilizing Cursor’s unique AI-driven features for code generation, debugging, and understanding complex codebases.
- GitHub Copilot Integration: Harness the power of Copilot within IntelliJ IDEA for intelligent code autocompletion, function generation, and exploratory coding.
- IntelliJ IDEA Proficiency: Enhance your skills in the industry-standard IDE, leveraging its robust features in conjunction with AI tools.
- Spring Boot Framework: Understand the core concepts and practical application of Spring Boot for building robust and scalable back-end Java applications.
- Thymeleaf Templating Engine: Learn to create dynamic and interactive front-end user interfaces with Thymeleaf, integrating seamlessly with Spring Boot.
- Application Deployment Fundamentals: Acquire the essential knowledge to deploy your full-stack Java applications, making them accessible to a wider audience.
- AI-Driven Debugging & Problem Solving: Develop strategies for using AI tools to identify, diagnose, and resolve code errors more efficiently.
- Benefits / Outcomes
- Accelerated Development Cycles: Significantly reduce the time spent on writing, debugging, and deploying applications by leveraging AI’s speed and efficiency.
- Enhanced Code Quality: Benefit from AI-driven suggestions for cleaner, more idiomatic, and potentially more secure code, leading to fewer bugs and better performance.
- Increased Developer Productivity: Free up your cognitive load by automating repetitive tasks and complex code generation, allowing you to focus on higher-level architectural and creative aspects of development.
- Empowered Problem Solving: Gain new perspectives and solutions to coding challenges through AI’s analytical capabilities and extensive knowledge base.
- Future-Proofing Your Skillset: Become proficient in the latest AI-powered development tools and methodologies, ensuring your skills remain relevant and in demand.
- Confidence in Building Complex Apps: Develop the ability to tackle more ambitious full-stack projects with greater ease and a more streamlined development process.
- Demystified AI in Development: Gain a practical understanding of how to effectively integrate AI into your daily coding routine, moving beyond theoretical discussions to real-world application.
- PROS
- Cutting-Edge Technology: Provides exposure to the latest advancements in AI-assisted coding tools.
- Efficiency Gains: Focuses on practical methods to dramatically speed up development.
- Comprehensive Skillset: Covers both AI tools and core Java full-stack technologies.
- High Rating & Popularity: Indicates strong student satisfaction and course relevance (4.31/5 rating, 6,570 students).
- Regular Updates: Assures content stays current with a September 2025 update.
- CONS
- Potential for Over-Reliance: Developers might become overly dependent on AI, potentially hindering deep understanding of fundamental concepts if not balanced carefully.
Learning Tracks: English,Development,Web Development
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