Full-Stack RAG with Next.js, Supabase & Gemini

Build a private, offline knowledge base over your own notes and PDFs using a local AI model. A hands-on beginner micro course: run a model with Ollama, turn documents into embeddings, store them in a local Chroma database, and ask questions answered from your own files. No cloud APIs, no fees, your data stays on your machine. Want to deploy it as a web app instead? See the Full-Stack RAG course (/courses/fullstack-rag-nextjs-supabase-gemini).

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 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.

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 Next.js from App Router fundamentals to advanced patterns. Learn server vs client components, data fetching strategies, rendering modes, and production optimization for developers who know React and want to fill knowledge gaps.

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.