Hands-on tutorials for Claude Code, AI agents, cloud and system design
Gen AI Intensive is the free Kaggle × Google 5-day course that 140,000 developers took in its first cohort. It covers large language models, embeddings, vector stores, agents, domain-specific models, and MLOps in five daily blocks of whitepaper plus podcast plus hands-on codelab. You leave with a working RAG pipeline, a LangGraph café ordering agent,… Continue reading
RAG optimization begins before a user submits a query, at the source documents that feed retrieval-augmented generation. Document and context engineering is the discipline of writing for two readers: the human who skims the page and the embedding model that chunks it. RAG Optimization: What You’ll Learn RAG optimization is the practice of writing and… Continue reading
Vector database selection on AWS for RAG: compare OpenSearch, pgvector, MemoryDB, Neptune Analytics, DocumentDB, S3 Vectors, Bedrock Knowledge Bases, and Kendra in 2026.
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Healthcare RAG on AWS using Amazon Bedrock, OpenSearch, and Neptune. Patient data augmentation, re-admission prediction, and talent management solutions grounded in HIPAA-eligible infrastructure.
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