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 4.73/5 rating
π₯ 3,004 students
π September 2025 update
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- Course Overview
- This concise yet impactful course ushers you into the revolutionary era of “agentic coding,” a paradigm shift where artificial intelligence transforms the very essence of software development. It moves beyond traditional coding by integrating powerful AI assistants directly into your workflow, fundamentally altering how you approach project inception, development, and deployment.
- Explore the synergy between human ingenuity and machine intelligence, learning to orchestrate sophisticated AI tools like Cursor IDE and GitHub Copilot to act as your co-pilot and development agent. This isn’t just about code generation; it’s about intelligent collaboration, allowing you to focus on higher-level architectural decisions and creative problem-solving while AI handles the intricate details.
- Discover a future-forward approach to building robust, full-stack Java applications. The course emphasizes practical application, demonstrating how to leverage AI to expedite the creation of UIs with Spring Boot and Thymeleaf, streamline backend logic, and ensure seamless deployment, making your applications accessible to users without unnecessary friction.
- Unpack the strategic advantages of “vibe coding,” a methodology centered on intuitive, AI-assisted development that dramatically enhances productivity and reduces boilerplate. Understand how to maintain a fluid development rhythm, where AI anticipates your needs and provides context-aware suggestions, accelerating your progress on any project type.
- Gain a holistic understanding of how AI agents can act as extensions of your development team, guiding you through project structure, API integration, and even debugging, thereby empowering you to tackle more ambitious projects with greater confidence and efficiency than ever before.
- Position yourself at the forefront of modern software engineering by mastering techniques that are rapidly becoming indispensable. This course is your gateway to understanding how intelligent automation can liberate developers from repetitive tasks, fostering an environment where innovation thrives.
- Despite its brevity, this course is designed to instill a profound shift in your development mindset, equipping you with the foundational principles and practical skills to integrate advanced AI into your daily development routine, making you a more effective and adaptable developer in the rapidly evolving tech landscape.
- Requirements / Prerequisites
- A foundational understanding of basic programming constructs such as variables, control flow (loops, conditionals), and functions is highly recommended to fully grasp the concepts and apply the AI tools effectively.
- While not strictly mandatory, some prior exposure to Java syntax or object-oriented programming principles will enable faster comprehension and application of the course material, particularly concerning Spring Boot.
- Comfort navigating a computer’s file system and executing basic commands via a terminal or command prompt will be beneficial for project setup and deployment tasks.
- Access to a personal computer (Windows, macOS, or Linux) capable of running IntelliJ IDEA, Cursor IDE, and a modern web browser without significant performance issues is essential.
- A stable and reliable internet connection is required for accessing online resources, downloading necessary software, and utilizing cloud-based AI services like GitHub Copilot.
- An open and curious mindset, eager to explore new development paradigms and embrace AI as an integral part of the coding process, is crucial for maximizing learning outcomes.
- While the course covers the setup of the necessary AI tools, having a GitHub account prepared beforehand can streamline the activation of GitHub Copilot.
- No prior experience with AI coding assistants is required; the course is structured to introduce these tools from a beginner-friendly perspective, focusing on practical usage.
- Skills Covered / Tools Used
- Intelligent Prompt Engineering: Develop the nuanced skill of crafting effective prompts for AI assistants, learning how to ask the right questions to solicit precise code, architectural advice, and debugging solutions from Cursor and Copilot.
- AI-Accelerated Debugging: Master techniques for leveraging AI to swiftly identify, understand, and propose fixes for bugs and errors within your Java applications, significantly reducing the time spent on troubleshooting.
- Smart Code Refactoring: Utilize AI tools to suggest improvements to existing code, enhance readability, optimize performance, and maintain best practices, transforming legacy or unwieldy code into clean, maintainable structures.
- Rapid Prototyping with AI: Gain proficiency in using AI to quickly scaffold new projects, generate boilerplate code for common functionalities, and iterate on design ideas at an unprecedented pace, accelerating the initial phases of development.
- Context-Aware Development: Learn how to integrate AI tools that understand the full context of your project β from file structure to open tabs β providing highly relevant and actionable suggestions that align with your overall project goals.
- Deployment Automation Concepts: While focused on AI-assisted development, the course touches upon the principles of preparing and deploying web applications, providing a foundational understanding of how to make your AI-generated projects live.
- Spring Boot & Thymeleaf Synergy: Beyond basic usage, discover how AI can assist in architecting scalable Spring Boot applications and designing dynamic, user-friendly interfaces with Thymeleaf, minimizing manual setup and accelerating feature development.
- Version Control Integration (AI-Enhanced): Understand how AI tools can interact with your version control system, assisting with commit message generation, pull request summaries, and even suggesting changes based on repository context.
- Adaptive Development Workflow: Cultivate a flexible and adaptive development workflow that seamlessly integrates human oversight with AI’s generative capabilities, creating a highly efficient and enjoyable coding experience.
- Benefits / Outcomes
- Significant Productivity Boost: Dramatically reduce the time spent on routine coding tasks, allowing you to complete projects faster and take on more ambitious development challenges with confidence.
- Enhanced Problem-Solving Capabilities: Leverage AI as an intelligent assistant to explore alternative solutions, dissect complex problems, and gain fresh perspectives on architectural and implementation challenges, expanding your technical prowess.
- Future-Proof Your Skillset: Acquire cutting-edge skills in agentic coding, positioning yourself as a forward-thinking developer proficient in the AI-driven development methodologies that are rapidly becoming industry standard.
- Reduced Cognitive Load: Offload the burden of memorizing extensive API documentation or syntax specifics to AI tools, freeing up your mental energy for creative design, complex logic, and strategic decision-making.
- Accelerated Learning Curve: Utilize AI to rapidly understand new frameworks, libraries, and coding patterns by generating examples, explanations, and practical implementations on demand, speeding up skill acquisition.
- Increased Project Scalability: Gain the ability to manage and contribute to larger, more complex full-stack Java projects by leveraging AI to maintain consistency, generate modular components, and assist with integration tasks.
- Improved Code Quality: Benefit from AI’s ability to suggest best practices, identify potential anti-patterns, and enforce coding standards, leading to cleaner, more robust, and maintainable applications.
- Greater Innovation Potential: With mundane tasks automated, you’ll have more time and mental space to experiment with new ideas, prototype innovative features, and push the boundaries of what’s possible in application development.
- Competitive Career Advantage: Stand out in the job market by showcasing practical experience with advanced AI development tools and methodologies, demonstrating your readiness for the next generation of software engineering.
- Empowerment to Build Anything: Walk away with the confidence and practical knowledge to use AI agents as a powerful catalyst for developing virtually any type of application, transforming abstract ideas into functional software with unprecedented speed and intelligence.
- PROS
- Exceptional Efficiency: The course provides a concentrated learning experience, delivering significant value and practical skills within a remarkably short duration of 1.2 total hours, perfect for busy professionals.
- High Student Satisfaction: Boasts an impressive 4.73/5 rating from over 3,000 students, indicating a highly effective and well-received curriculum.
- Cutting-Edge Relevance: Focuses on the latest AI tools and agentic coding methodologies, ensuring learners acquire skills that are immediately applicable and future-proof.
- Practical Application: Emphasizes hands-on learning, enabling students to quickly apply concepts to real-world Java full-stack development scenarios.
- Accessible to Many: The high number of students (3,004) suggests the course is well-structured and beneficial for a wide audience, from aspiring developers to experienced engineers.
- Up-to-Date Content: The September 2025 update ensures the course material remains current with the rapid advancements in AI development tools and practices.
- Direct Impact on Productivity: Directly teaches techniques to drastically boost development speed and efficiency using AI, offering immediate returns on investment of time.
- CONS
- The extremely condensed nature of the course (1.2 hours) means that while it provides an excellent introduction and practical application of AI tools, achieving deep mastery of Java, Spring Boot, or advanced deployment strategies might require further self-study or additional resources.
Learning Tracks: English,Development,Web Development
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