About this course
An engineering-first AI pathway focused on data quality, RAG, tool use, evaluation, observability, privacy, and deployment.
Course curriculum
- AI product architecture and failure modes 18 minutes
- Embeddings, chunking, and retrieval 18 minutes
- Grounded generation and citations 18 minutes
- Tool use and agent workflows 18 minutes
- Evaluation, red teaming, and guardrails 18 minutes
- Deployment, monitoring, and cost control 18 minutes
Interactive labs
- RAG Grounded Answer Evaluation 30 minutes
- AI Prompt Safety Red-Team Lab 25 minutes
- Python Data-Cleaning Lab 25 minutes