Software development is shifting from writing every line of code to specifying intent and letting AI generate the implementation. This is Vibe Coding and Software 3.0. This course teaches you how to use natural language specifications, prompt AI (ChatGPT, Copilot, Claude) to generate clean, modular code, and build AI powered microservices with secure APIs using OpenAPI, GraphQL, Docker, and Kubernetes. You will learn to set up distributed tracing with OpenTelemetry, monitor performance with Prometheus and Grafana, and deploy production grade systems across ecommerce, IoT, healthcare, and gaming domains.

This Course Offers

• A complete workflow for AI assisted development: write specs, prompt AI, generate APIs, scaffold microservices.
• Hands on practice with OpenAPI and GraphQL schemas, authentication (API Keys, OAuth2, JWT), and auto documentation with Swagger.
• Observability setup including distributed tracing, logging, performance monitoring, and root cause analysis.
• Building prompt libraries, knowledge graphs, and developer chatbots for ongoing team productivity.
• A capstone project where you define a spec, prompt AI to generate code, and present a full stack system.

Why We Love This Course

1. It is forward looking. This is not just another microservices course. It teaches you how to leverage AI to generate the code, which is the skill of the near future.
2. Over 20,000 students have enrolled, and the course is taught by an instructor with deep experience in AI driven architecture.
3. The course covers real world, production grade concerns including security, scalability, observability, and domain specific requirements (HIPAA compliance, anti corruption layers).
4. It includes a focus on communicating technical decisions with visual architecture diagrams and AI generated documentation.

A note from student feedback: some found the course to be slide heavy and lacking depth for the price. However, for what the course offers in terms of vision, methodology, and tooling (OpenAPI, GraphQL, Kubernetes, OpenTelemetry), it provides a solid framework. If you are a product minded engineer or early career developer who wants to understand the future of AI powered development, this course gives you the mindset and vocabulary.

• 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.
• Tech leads and architects who want to lead AI assisted development teams.
• Anyone tired of writing boilerplate code and ready to shift to specification driven development.

• A basic understanding of programming concepts (Python, JavaScript, or any language).
• 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.

Interested in exploring more lessons? Check out our full course library to continue building your skills and advancing your learning journey.