Run an AI course project locally
Choose the guide for the course project you have already extracted. Project downloads come from the course's lesson menu as a ZIP that you extract on your computer. Each guide starts with its prerequisites, then helps you install the packages, add any environment values, start the project, and fix likely errors.
AI Engineer Path
- Intro to AI Engineering: run the browser-only Gift Genie or its later Express and Vite version.
- Deployment: run Dream Catcher with SQLite or PostgreSQL on your computer.
- Open-source Models: run a Transformers.js model in the browser or use Ollama on your computer.
- Embeddings and Vector Databases: run the course chatbot against OpenAI and the Supabase database you built.
- Intro to AI Agents: run a lesson's Express server and Vite frontend with your provider values in
.env. - Context Engineering: run the OpenRouter summarization challenge.
- Vercel AI SDK: run the server-side customer-support agent with OpenAI and Supabase.
- Model Context Protocol: run the TypeScript MCP server and test it with Inspector.
- Multimodality: update and run the image generation or vision project.
Other AI courses and projects
- Intro to Mistral AI: run the Vite project and find its function-calling result in the browser console.
- Chef Claude: run the recipe project from the Learn React course, using either the Anthropic route or the Hugging Face route.