Technical training modules covering AI implementation patterns, production operations, and engineering practices for government services.
Technical training modules covering AI implementation, production operations, and engineering practices for California state government services.
Master the fundamentals of prompting and context engineering. Covers prompt anatomy, context windows, RAG, agentic AI, CDT compliance (SAM 4986), and practical workflows for policy memos, research, and data analysis.
Best practices for ensuring data quality in RAG systems: deduplication, validation, embedding integrity, and testing.
Case study of building a production RAG chatbot for California Water Boards. Covers architecture, knowledge curation, semantic chunking, adversarial QA testing, and a replicable blueprint.
Real metrics from a 6-phase hardening pipeline: rate limiting, memory caps, Redis caching, Cloudflare edge protection, and k6 load testing. 50+ verified before/after metrics.