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 4.25/5 rating
π₯ 7,921 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 program is meticulously designed for developers eager to harness the power of Artificial Intelligence to accelerate and elevate their full-stack Java application development process.
- Moving beyond traditional coding paradigms, this course introduces you to the concept of “agentic coding,” where AI tools act as intelligent collaborators, augmenting your capabilities and streamlining every stage of the software development lifecycle.
- You will explore how to integrate cutting-edge AI assistants directly into your workflow, focusing on practical application within the robust IntelliJ IDEA ecosystem. The curriculum is structured to provide immediate, actionable insights that can be applied to real-world projects.
- With a stellar 4.25/5 rating from over 7,921 students and an update in September 2025, this course represents a current and highly relevant approach to modern Java development.
- The emphasis is on building sophisticated, production-ready full-stack Java applications efficiently, leveraging the synergy between human expertise and AI-driven assistance.
- Requirements / Prerequisites
- A foundational understanding of Java programming language concepts is essential. Familiarity with core language features, object-oriented programming principles, and basic syntax is assumed.
- Prior experience with web development concepts, including client-server architecture, HTTP protocols, and basic understanding of front-end and back-end interaction, will be beneficial.
- While not strictly mandatory, having a grasp of SQL databases and their interaction with Java applications will enhance your learning experience.
- Access to a development environment capable of running IntelliJ IDEA is required. Ensure your system meets the minimum specifications for smooth operation.
- A stable internet connection is necessary for accessing AI services and downloading necessary tools and dependencies.
- Skills Covered / Tools Used
- AI-Assisted Code Generation: Learn to prompt and guide AI to generate boilerplate code, complex algorithms, and even entire application modules, significantly reducing development time.
- Intelligent Code Completion and Refactoring: Master the use of AI-powered suggestions for smarter code completion, error detection, and automated refactoring to improve code quality and maintainability.
- Leveraging Cursor IDE Features: Explore the unique capabilities of the Cursor IDE, an AI-native development environment, and how it integrates seamlessly with AI assistants for enhanced productivity.
- GitHub Copilot Integration: Understand how to effectively utilize GitHub Copilot within IntelliJ IDEA to receive context-aware code suggestions, generate test cases, and explore alternative implementations.
- Full-Stack Java Application Architecture: Gain practical experience in designing and building the complete stack of a Java application, from the database layer to the user interface, with AI guidance.
- Debugging and Problem Solving with AI: Discover AI-driven strategies for identifying bugs, understanding error messages, and finding solutions more rapidly than traditional methods.
- Best Practices in Agentic Development: Develop an understanding of how to work collaboratively with AI tools, ensuring ethical considerations and maintaining control over the development process.
- Benefits / Outcomes
- Accelerated Development Cycles: Dramatically reduce the time spent on coding, debugging, and repetitive tasks, allowing you to deliver features faster.
- Enhanced Code Quality: Benefit from AI-driven suggestions that promote cleaner, more efficient, and less error-prone code.
- Increased Developer Productivity: Empower yourself with tools that act as intelligent partners, boosting your overall output and problem-solving capabilities.
- Future-Proof Your Skills: Acquire cutting-edge skills in AI-assisted development, positioning yourself at the forefront of the evolving software engineering landscape.
- Build More Complex Applications: Tackle more ambitious projects with confidence, as AI assistance helps to manage complexity and accelerate implementation.
- Improved Learning Curve for New Technologies: Utilize AI to quickly grasp and implement new libraries, frameworks, or programming concepts within your Java projects.
- Gain a Competitive Edge: Differentiate yourself in the job market by demonstrating proficiency in modern AI-powered development methodologies.
- PROS
- Highly Practical and Hands-On: Focuses on immediate application of AI tools in real-world full-stack Java development scenarios.
- Expertly Curated for Modern Development: Leverages the latest advancements in AI coding assistants for maximum efficiency.
- Concise and Time-Efficient: Delivers significant value within a short, manageable timeframe.
- Positive Student Feedback: High rating indicates a strong track record of student satisfaction and learning outcomes.
- Up-to-Date Content: September 2025 update ensures relevance and incorporation of recent developments.
- CONS
- Assumes Existing Java Fundamentals: Learners new to Java may find it challenging without prior exposure to core concepts.
Learning Tracks: English,Development,Web Development
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