What You'll Learn
- Learn how to write natural language specifications and prompt AI to generate clean, modular, and testable code across services and components.
- Design, containerize, and deploy microservices with secure APIs using OpenAPI, GraphQL, Docker, and Kubernetes, enhanced by AI-assisted code generation.
- Set up distributed tracing, logging, performance monitoring, and root cause analysis using tools like OpenTelemetry, Prometheus, and Grafana.
- Use AI to auto-generate OpenAPI docs, maintain prompt libraries, build knowledge graphs, and even deploy chatbots to support dev teams in real time.
- Analyze and build systems for domains like e-commerce, IoT, healthcare, and gaming—featuring Redis sharding, HIPAA compliance, gRPC, and anti-corruption layers.
- Communicate your technical decisions with clarity, using visual architecture diagrams, AI-generated docs, and structured walkthroughs.
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 This Course is 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
Your Instructor
Vivian Aranha
AI Specialist | IT Professional Trainer | Principal Engineer
4.2 Instructor Rating
596 Reviews
87,810 Students
6 Courses
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