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.
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.
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.
Master the probabilistic foundations of artificial intelligence. Learn probability fundamentals, Bayes' theorem, distributions, expected value, maximum likelihood estimation, and how AI systems handle uncertainty to make predictions.
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.
Build autonomous AI agents with Python using LangChain and LangGraph. Learn tool calling, stateful workflows, RAG-powered agents, multi-agent systems, and production deployment. From the ReACT pattern to a full customer support agent capstone.