Sales Professional

3 courses · ~8 hours· 1 certification available

phase 1 — How AI features work

Learn the mechanism behind AI-powered product demos.

[ ] Understanding Tool Calling

When your product uses AI to automate workflows, analyze data, or interact with customers, tool calling is the mechanism. Understanding it makes your demos credible.

4 sections · 10 lessons

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

[→ start course]

phase 2 — Real capabilities vs. marketing claims

Set honest expectations with customers.

[ ] Context Engineering

The 'marketing vs. reality' section helps you set honest expectations with customers. Overselling AI capabilities damages trust and creates churn.

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 — The technology under the hood

Answer technical questions with real knowledge.

[ ] Understanding Transformers [preview]

When a technical buyer asks how the model works, you'll have a real answer — not a marketing talking point.

2 sections · 4 lessons

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

[→ start course]

key terms

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