AI, LLMs, RAG & Agents
From how language models work to building grounded, cited retrieval-augmented AI applications. Each course below is independent -- start with whichever one fits what you want to learn.
AI, LLMs & RAG
From neural network intuition to production retrieval-augmented generation and agents.
14 lessons8hintermediate
- 1. AI vs Machine Learning vs Deep Learning vs Generative AI
- 2. Neural Network Intuition
- 3. Transformer Intuition, Tokens, and Context Windows
- 4. Prompt Design: Instructions and Structured Outputs
- 5. Embeddings and Vector Similarity
- 6. Chunking and Document Ingestion
- 7. Semantic, Keyword, and Hybrid Search
- 8. Retrieval-Augmented Generation: The Full Pipeline
- 9. Reranking and Citations
- 10. Reducing Hallucination and Evaluating RAG Quality
- 11. Prompt Injection and Data Privacy
- 12. Tool and Function Calling
- 13. AI Agents and Workflows
- 14. Cost, Latency, Caching, Observability, and Production Safeguards