Technical · In production
Tai Labs Certified AI Solutions Architect
TAI-AISATranslates business problems into secure, evaluable, cost-aware AI architectures.
- Effort
- 12 weeks
- Level
- Advanced
- Passing
- 75%
Competency blueprint
Assessment weighting is published up front — 20% knowledge, 30% labs, 20% portfolio and 30% capstone.
Problem framing
20%Business problem to system design, build versus buy
Architecture
35%Model, retrieval, agent and data pipeline design
Controls
25%Security, reliability and evaluation
Economics
20%Scaling and cost architecture
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
Design an enterprise AI architecture from a realistic case study.
Modules
- Translating business problems into AI systems
- Build versus buy
- Model selection
- System architecture
- RAG architecture
- Agent architecture
- Data pipelines
- Security
- Reliability
- Evaluation
- Scaling
- Cost architecture