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TAI Labs

Product and Commercial · In production

Tai Labs Certified AI Product Manager

TAI-AIPM

Identifies AI opportunities, specifies them properly, and evaluates model quality, cost and risk before launch.

Effort
10 weeks
Level
Professional
Passing
75%
Verify a credential
Tai Labs Certified AI Product Manager — Product blueprint, decision matrix and prototype frameTAI-AIPMProfessional certificationAI Product Management

Competency blueprint

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

  • Opportunity and discovery

    25%

    Finding and validating AI-shaped problems

  • Specification

    25%

    AI PRDs, model selection and prototypes

  • Quality and economics

    30%

    Evaluation, cost, latency, reliability

  • Responsible launch

    20%

    Risk, disclosure and iteration

Assessment blueprint

Knowledge

20%

Labs

30%

Portfolio

20%

Capstone

30%

75% overall to pass. The capstone must pass independently of every other score. Two retakes per assessment window; capstone may be revised twice within 90 days.

Capstone

Create a complete AI product proposal containing research, PRD, prototype, evaluation framework and launch plan.

Modules

  • AI product fundamentals
  • Opportunity identification
  • User discovery
  • AI product requirements
  • Model selection
  • Prototyping
  • AI UX
  • Model-quality evaluation
  • Cost, latency and reliability
  • Responsible AI
  • Launch and iteration