Build real-world enterprise apps with AI-powered Vibe Coding techniques using tools like Copilot, RooCode, Docker, etc
β±οΈ Length: 4.5 total hours
β 4.59/5 rating
π₯ 3,057 students
π December 2025 update
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- Course Overview
- Introduction to the Vibe Coding Paradigm: This course introduces a revolutionary shift in software engineering, moving away from manual syntax-heavy development toward high-level intent-based programming. You will explore how to “vibe” with AI agents to build complex enterprise structures by communicating logic rather than just writing lines of code.
- Bridging Intent and Architecture: Learn the specialized art of translating business requirements into technical blueprints that AI agents can execute with precision. The course focuses on the conceptual bridge between a developer’s vision and the final production-ready enterprise application.
- Enterprise-Grade Development Standards: Unlike hobbyist coding, this course focuses strictly on professional standards. You will learn how to maintain rigorous code quality, security protocols, and scalable infrastructure while leveraging the speed of generative AI.
- The Evolution of the Developer Role: Understand how your role as a coder is evolving into that of a “Solution Architect and Vibe Conductor.” We dive deep into why understanding system design is more critical now than ever before in the era of autonomous coding tools.
- Navigating the 2025 AI Ecosystem: Stay ahead of the curve with a curriculum updated for the latest advancements in LLMs and developer tools, ensuring you are using the most efficient workflows available in the current market.
- Requirements / Prerequisites
- Foundational Programming Logic: While you won’t be writing every line of code manually, a strong grasp of algorithmic thinking, data structures, and general programming logic (in any language like Python, JavaScript, or Java) is essential to guide the AI effectively.
- Basic Understanding of Web Architectures: Familiarity with how client-server models, APIs, and databases interact is required to provide the “vibe” or high-level direction that the enterprise solution demands.
- Access to AI Development Tools: You should have active accounts or access to tools like GitHub Copilot, RooCode (or similar AI agents), and a modern IDE like VS Code or Cursor to follow along with the hands-on modules.
- Containerization Basics: A high-level understanding of what containers are will be helpful, as the course utilizes Docker for environment consistency, though deep expertise is not required beforehand.
- An Innovative Mindset: A willingness to let go of traditional “manual-first” coding habits and embrace an “AI-first” workflow is the most critical prerequisite for success in this course.
- Skills Covered / Tools Used
- Mastering RooCode for Autonomous Tasking: Deep dive into using RooCode as a powerful AI agent that can read your entire codebase, execute terminal commands, and perform multi-step refactoring without constant human intervention.
- Advanced GitHub Copilot Integration: Move beyond simple autocomplete and learn how to use Copilot Chat and specialized prompts to generate entire enterprise modules, test suites, and documentation.
- Dockerized Enterprise Environments: Learn to instruct AI to build complex Dockerfile configurations and Docker Compose files for multi-container microservices, ensuring your enterprise apps are portable and scalable.
- Natural Language System Design: Develop the skill of “Prompt Engineering for Architects,” where you learn to describe complex database schemas and service relationships in a way that AI can perfectly implement.
- Automated Testing and Debugging: Leverage AI to generate comprehensive unit, integration, and end-to-end tests, and learn the “vibe-check” method for rapid debugging and error resolution.
- CI/CD Pipeline Orchestration: Utilize AI to write and maintain GitHub Actions or GitLab CI scripts, automating the deployment of your enterprise solutions to cloud providers.
- Benefits / Outcomes
- Exponential Increase in Productivity: By the end of this course, you will be able to build enterprise-level features in a fraction of the time it takes using traditional methods, effectively 10x-ing your output as a solo developer or team lead.
- Reduction in Boilerplate Fatigue: Learn to offload the repetitive, “boring” parts of codingβsuch as setting up boilerplate, configuration files, and basic CRUD operationsβto AI, allowing you to focus on high-level business logic.
- Enterprise-Ready Portfolio Project: You will emerge with a fully functional, containerized, and architecturally sound enterprise application that demonstrates your ability to lead AI-driven development projects.
- Mastery of AI Collaboration: Gain the confidence to lead development teams in adopting AI-powered workflows, making you an invaluable asset to modern tech organizations looking to optimize their engineering spend.
- Future-Proofing Your Career: As the industry moves toward “Vibe Coding,” you will be positioned as an early adopter who knows how to harness AI for complex systems, rather than being replaced by it.
- PROS
- Real-World Application Focus: The course avoids “todo list” examples and focuses on the complexities of enterprise environments, including security and scalability.
- Hands-on Tooling: You get practical experience with the latest 2025-ready tools like RooCode, providing a competitive edge in the modern job market.
- Highly Efficient Learning: At just 4.5 hours, the course is packed with high-density information, cutting out the fluff to respect the time of professional developers.
- Focus on Logic over Syntax: It empowers developers to build in languages they may not be experts in by focusing on the underlying engineering principles.
- CONS
- Tool Dependency Risks: The workflow relies heavily on third-party AI tools and subscriptions, which may incur additional costs and are subject to platform changes or downtime.
Learning Tracks: English,Development,No-Code Development
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