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.
Set up, customize, and safely run OpenClaw — an open source AI agent that automates personal tasks on your computer.
Build a personal knowledge base over your notes, bookmarks, and documents. Search everything with AI and get answers with sources.
Build a complete fine-tuning pipeline — curate training data from your Sales Companion, format for APIs, run fine-tuning jobs, evaluate with automated metrics, and deploy with A/B testing.
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 quantum annealing pipeline for combinatorial optimization — choose feature selection or graph partitioning, solve with simulated annealing, and optionally connect to D-Wave hardware.
Build a multi-agent system where specialized AI agents — researcher, writer, analyst, and coder — coordinate through a supervisor to handle complex tasks no single agent can solve.
Build an AI code review agent that analyzes pull requests, detects bugs and anti-patterns, scores code quality, suggests improvements, and integrates with your CI/CD pipeline.
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