AI Engineering Basics
Six lessons on the vocabulary of AI engineering: models and tokens, cost per run, agents and harnesses, context engineering, evals, and MCP. Every lesson is open to everyone; a free account is only needed to claim the certificate.
Models and Tokens
Define model, token, and context window in plain language
Cost per Run and the AI Cost Stack
Compute the difference between cost per run and monthly run cost
Agents, Harnesses, and Loops
Distinguish an agent from an agentic workflow
Context Engineering and Skills
Define context engineering and name what it chooses
Evals and Measurement
Distinguish benchmark evals from production evals
MCP and Interoperability
Explain what MCP standardizes and the roles of server, client, and tool
AI Engineering Basics Certificate of Completion
Complete all 6 lessons (an account is needed only to claim the Certificate of Completion).
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