Executive / C-Suite

3 courses · ~8 hours· 1 certification available

phase 1 — The technology your teams are using

Understand what transformers actually do — enough to evaluate claims and ask hard questions.

[ ] Understanding Transformers [preview]

You don't need to write code, but you need to understand what transformers actually do — enough to evaluate claims, ask hard questions, and not get sold snake oil.

2 sections · 4 lessons

[ ] Attention Mechanisms (3 lessons)
[ ] Embeddings (1 lesson)

[→ start course]

phase 2 — Real capabilities vs. marketing

Learn what those big context window numbers actually mean.

[ ] Context Engineering

The 'marketing vs. reality' section shows you what those big context window numbers actually mean. This is the course that prevents seven-figure mistakes.

8 sections · 25 lessons

[ ] Tokens and Inference (2 lessons)
[ ] The Real Size of Your Context Window (4 lessons)
[ ] Anatomy of the Messages Array (5 lessons)
[ ] Dynamic Allocation: Tool Calling (2 lessons)
[ ] The Ralph Wiggum Loop (3 lessons)
[ ] Sub-Agents: Managed Runtimes for AI (3 lessons)
[ ] Message Passing: The Erlang OTP of AI (3 lessons)
[ ] Context Management Strategies (3 lessons)

certification: Certified Context Engineer

[→ start course]

phase 3 — How AI features are built

Get the vocabulary to discuss AI features with your engineering team.

[ ] Understanding Tool Calling

Understanding tool calling gives you the vocabulary to discuss AI features with your engineering team — and the knowledge to evaluate whether a vendor's architecture is sound.

4 sections · 10 lessons

[ ] Foundations (2 lessons)
[ ] How Models Decide (2 lessons)
[ ] Advanced Patterns (3 lessons)
[ ] Security and Production (3 lessons)

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key terms

Transformer·Context Window·Context Engineering·Tool Calling·Agent·Prompt Injection