6 modules each. First course free, $20 after. Keep your code forever.
Start here
Learn how LLMs actually work, then master zero-shot, few-shot, chain-of-thought, and system prompts. Build a reusable prompt library.
Build a question-answering system over your own documents. Upload, chunk, embed, search, and generate cited answers — the complete RAG pipeline.
Go deeper
Use the Claude API and tool use to build a personal assistant that handles email, calendar, research, and tasks.
Build a personal knowledge base over your notes, bookmarks, and documents. Search everything with AI and get answers with sources.
Build AI agents that take action — CRM lookups, email drafts, calendar bookings, Slack posts. With LangGraph orchestration, MCP server, guardrails, and human-in-the-loop approval.
Build a document processing pipeline that extracts text and tables from PDFs, classifies document types, pulls structured fields, validates data quality, and outputs clean structured data.
Build an anomaly detection system that monitors time-series metrics, detects unusual patterns using statistical and ML methods, triggers alerts, and provides AI-powered root cause analysis.
Build event-driven AI pipelines that automate real business workflows — from webhook triggers through AI processing to action execution, with retry logic and monitoring.
You'll build:
"Write a system prompt that extracts invoice data with 95% accuracy"
After this, try:
6 Modules
How LLMs Think
Zero-Shot & Few-Shot
Chain-of-Thought
System Prompts
Structured Output
Prompt Library