Revolutionize Your Development Approach with Vibe Coding

Enroll in this Free Udemy Course to embrace AI-assisted development and revolutionize your coding skills!

Welcome to Vibe Coding and Software 3.0, a cutting-edge course that will redefine how you build, scale, and maintain intelligent systems in the age of AI. This isn’t just another programming tutorial—it’s a deep dive into the future of software engineering, where AI-assisted development, specification-driven architecture, and microservices come together to form the foundation of Software 3.0.

In a world where AI tools like ChatGPT, Copilot, and Claude are reshaping how developers write code, manage APIs, and design infrastructure, it’s no longer enough to just “know how to code.” Today’s top engineers must understand how to collaborate with AI, generate code from prompts, build autonomous systems, and orchestrate microservice architectures that are scalable, secure, and observable. This course introduces you to the Vibe Coding paradigm—a developer workflow that begins with human intent, uses natural language specifications, and leverages AI to scaffold everything from API contracts to documentation.

Whether you’re designing a RESTful service, building a GraphQL backend, or deploying to Kubernetes, Vibe Coding enables you to move faster while maintaining clarity, control, and code quality. You’ll learn how to use AI prompts to generate and test APIs, build secure microservices, implement authentication best practices, leverage AI for auto-documentation, and more. By the end of the course, you’ll complete a Capstone Project showcasing your skills and understanding of this modern paradigm in real-world applications. This course is perfect for software engineers, DevOps professionals, and product-minded developers eager to thrive in an AI-first world.

What you will learn:

  • Use AI prompts to generate and test APIs using OpenAPI and GraphQL schemas
  • Build secure, scalable microservices with AI-guided code generation
  • Leverage AI to auto-document your services with Swagger and context-aware chatbots

Course Content:

  • Sections: 12
  • Lectures: 45
  • Duration: 20 hours

Requirements:

  • A basic understanding of programming concepts (any language—Python, JavaScript, etc.)
  • Familiarity with REST APIs or modern web development practices
  • Curiosity about AI-assisted development, automation, and prompt engineering
  • A modern computer with internet access, Docker installed, and optionally a GitHub account

Who is it for?

  • Product-minded engineers who want to combine speed with scalability
  • Developers exploring tools like OpenAPI, GraphQL, Kubernetes, and OpenTelemetry
  • Professionals aiming to build secure, scalable systems powered by AI-generated code
  • Early-career developers eager to learn the mindset and tooling behind Software 3.0

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