Everyone's talking about AI adoption. Almost nobody has the real numbers. Help us change that โ€” and get the full report ๐Ÿ‘‰ Engineers | Leaders

Data Analyst

3 courses ยท ~10 hours


phase 1 โ€” How models work

Learn the fundamentals of transformer architecture.

[ ] Understanding Transformers [preview]

Understanding attention and embeddings helps you reason about why AI gives certain answers โ€” and why it sometimes gets them wrong.

2 sections ยท 4 lessons
  • [ ] Attention Mechanisms (3 lessons)
  • [ ] Embeddings (1 lesson)
[โ†’ start course]

phase 2 โ€” How models take action

Learn how AI tools interact with data and systems.

[ ] Understanding Tool Calling

When AI tools query databases, generate charts, or transform data for you, this is the mechanism they use.

4 sections ยท 10 lessons
  • [ ] Foundations (2 lessons)
  • [ ] How Models Decide (2 lessons)
  • [ ] Advanced Patterns (3 lessons)
  • [ ] Security and Production (3 lessons)
[โ†’ start course]

phase 3 โ€” Build your own AI tools

Build a browser extension that extracts and analyzes web data.

[ ] Build Your First Chrome Extension

Build a browser extension that extracts data from any web page and sends it to an AI for analysis โ€” a tool you'll actually use.

5 sections ยท 17 lessons
  • [ ] Understanding Chrome Extensions (3 lessons)
  • [ ] Your First Extension โ€” Hello World Popup (3 lessons)
  • [ ] Upgrading Your Extension โ€” Comic Sans Mode (3 lessons)
  • [ ] Real-World Application โ€” AI-Powered Page Transformer (6 lessons)
  • [ ] Security and Distribution (2 lessons)
[โ†’ start course]

key terms

TransformerยทAttentionยทEmbeddingยทTool CallingยทContext Window