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Foundation · Available

Think Like an AI Engineer

TAI-TAE

The engineering mental model: what a model is doing, how to choose one, how to give it context, and how to catch the failure a demo would hide.

Effort
6 weeks
Level
Professional
Passing
70%
Earn this certificationVerify a credential
Think Like an AI Engineer — The engineering mental model: what a model is doing, how to choose one, how to give it context, and how to catch the failure a demo would hide.TAI-TAEFlagship credentialThink Like an AI Engineer

Competency blueprint

Assessment weighting is published up front — 20% knowledge, 30% labs, 20% portfolio and 30% capstone.

  • Knowledge checks

    20%

    A quiz per module, marked immediately.

  • Practical labs

    30%

    Work done in the tools, submitted as evidence.

  • Portfolio

    20%

    The assignments that accumulate across the track.

  • Capstone

    30%

    A realistic brief, graded against a rubric by a human.

Assessment blueprint

Knowledge

20%

Labs

30%

Portfolio

20%

Capstone

30%

70% overall to pass. The capstone must pass independently of every other score. Two retakes per assessment window.

Capstone

Build something small that uses a model in its core loop — a script, a workflow, a tool — with an eval set of at least five cases including one it fails. Submit the code, the eval results, and what you'd change.

Modules

  • How Modern AI Actually Works
  • Prompting Like a Pro
  • Picking the Right Model for the Job
  • Context Is Everything
  • Working With Files, Images, and Your Own Data
  • AI for Coding
  • Tool Use and Agents
  • Building Simple AI Workflows Without Code
  • Evals
  • Staying Current Without Drowning