From Prompt to Production: A Practical Guide to Agentic AI Architecture

DataTalksClub founder Alexey Grigorev shared the full syllabus for his AI Engineering Buildcamp — six modules covering LLM APIs, RAG, Agentic Flows, Monitoring & Guardrails, Evaluation, and a Capstone project. It's one of the most complete learning paths for building agentic AI applications in production.

Dr. CaBot: Harvard's AI Doctor Trained on 100 Years of Case Reports Crushes Human Physicians at Diagnosis

Harvard's Dr. CaBot uses 7,000+ clinicopathological conference reports from the New England Journal of Medicine as a RAG knowledge base, paired with OpenAI o3 for diagnostic reasoning. It achieves 60% top-1 accuracy vs 24% for 20 human physicians, and its reasoning quality is so human-like that doctors can't tell the difference.