Product and Commercial · In production
Tai Labs Certified AI Product Manager
TAI-AIPMIdentifies AI opportunities, specifies them properly, and evaluates model quality, cost and risk before launch.
- Effort
- 10 weeks
- Level
- Professional
- Passing
- 75%
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