Master database internals, indexing, and schema design for modern AI applications. Learn how SQL databases power production AI systems at TikTok, Uber, and Netflix. Build RAG systems, feature stores, and high-performance pipelines with PostgreSQL and pgvector.
8 módulos • 45 aulas
Master the principles, architecture, and core components required to build production-ready RAG applications. Learn to create custom knowledge chatbots using Next.js, Supabase with pgvector, and Google's Gemini API. Perfect for JavaScript/Next.js developers who want to integrate advanced AI features.
Master vector databases for AI applications. Learn embeddings, similarity search, and hands-on setup of Pinecone, pgvector, and Chroma. Understand indexing strategies, hybrid search, performance optimization, and how to choose the right database for your use case.
Move beyond chatbots. Build autonomous agents that work for business. Learn to create production-ready AI agents using JavaScript, TypeScript, Next.js, and the Vercel AI SDK. Perfect for JavaScript developers who want to build AI applications without learning Python.
Move beyond writing prompts to engineering them. Build evals and rubrics to measure prompt quality objectively, use AI to write and refine your prompts, get reliable structured outputs, and run optimization loops that cut variance, cost, and latency.
Master the fundamentals of SQL from scratch. Learn to query, manipulate, and design databases using PostgreSQL. Build real-world database systems through hands-on exercises and a capstone project. No prior database experience required.
An advanced, workflow-specific course for litigation attorneys, paralegals, and in-house counsel. Go deeper than the basics with AI-assisted e-discovery, deposition prep, case law synthesis, motion and brief drafting, expert witness analysis, and trial preparation — with a strong focus on US/UK ethics, FRCP/CPR compliance, and hallucination prevention.