Available Courses

Build the mental models that distinguish AI application development from ML research.

Understand how language models work: from training to tokens to inference.

Treat the context window as an engineering budget and make deliberate tradeoffs.

Understand embeddings and measure retrieval quality before choosing infrastructure.

Design and debug retrieval-augmented generation pipelines end to end.

Move from ad-hoc prompting to deliberate context assembly and eval-driven iteration.

Build reliable AI workflows with structured outputs, tool calling, and agent harnesses.

Ship AI systems you can measure, monitor, and trust in production.

Microsoft Certified: Machine Learning Operations Engineer Associate