Leadership and Governance · In production
Tai Labs Certified Responsible AI Professional
TAI-RAIWrites and enforces an AI governance framework, and can assess a deployment against it.
- Effort
- 8 weeks
- Level
- Professional
- Passing
- 75%
Competency blueprint
Assessment weighting is published up front — 20% knowledge, 30% labs, 20% portfolio and 30% capstone.
Risk model
30%Hallucination, bias, privacy and model risk
Controls
30%Human oversight, evaluation and enterprise controls
Documentation
20%Policies, records and disclosure
Regulatory awareness
20%Obligations and responsible deployment
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 governance framework and assess a fictional company's AI deployment.
Modules
- Governance fundamentals
- Hallucination and reliability
- Bias
- Privacy
- Model risk
- Human oversight
- Evaluation
- Documentation
- AI policies
- Enterprise controls
- Regulatory awareness
- Responsible deployment