| Part 1 Intro to models and agents | How LLMs work · models and performance · how agents work · computer use | |
| Part 2 Working with AI | Doing work with AI · prompting tips · permissions | |
| Part 3 Standing instructions and connectors | CLAUDE.md · how it remembers you · SKILL.md · MCP connectors · plugins | |
| Part 4 Building agents | How software works · API calls · build a chatbot · build an agent | |
| Part 5 Deploying agents | Academic Studio · running apps and agents locally · Git and GitHub · deploying apps and agents | |
| Part 6 Documents and local models | Retrieval augmented generation · Gemini Notebook · running models locally | |
| Part 7 Agent security | Multi-agent architectures · security risks · mitigating risks | |
| Part 8 Neural networks | Inside a neural network · training · fine-tuning and LoRA |
Part 2 data: northwind.zip · workover.md
Part 6 data: orders.csv · order_details.csv
Part 8 notebook: fine-tuning-gemma.ipynb