Course Tracks
Practical AI tooling, prompt engineering, and automation workflows for professionals who need to use AI effectively in real work environments.
What you'll learn
This track covers how senior engineers actually integrate AI tools into their day-to-day work — not demo environments, not toy examples.
Systematic prompt design, chain-of-thought, few-shot learning, and managing prompt templates at production scale.
OpenAI, Anthropic, and open-source LLMs in real applications. Rate limiting, error handling, cost control, and observability.
Copilot, Cursor, and Claude API used the way senior engineers use them — for code review, documentation, test generation, and refactoring.
Retrieval-augmented generation pipelines — chunking, embeddings, vector stores, and reranking for real internal knowledge systems.
Pick any course individually. No subscription required.
Browse the Lab Catalog