AI Factory Management, FinOps & Infrastructure Economics
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Job-Ready Certification CDI09
Unify compute, MLOps, evals, capacity, reliability and economics; optimize utilization, cost/token, deployment velocity and measurable business value.
Benchmark: Target roles: AI Factory Manager | AI Industrialization Lead | AI Infrastructure Strategy / FinOps Lead -- Current market bar: Unify compute, MLOps, evals, capacity, reliability and economics; optimize utilization, cost/token, deployment velocity and measurable business value. -- Credential note: this is a Zuyini job-readiness certificate built from the cited public courses. It is not issued, sponsored or endorsed by the source institutions, providers or companies.
Core Course Stack
1. Enterprise AI Playbook
2. Use Case Discovery & System Scoping
3. MLOps Engineering
4. MLflow 3.0: AI & MLOps
5. Deployment
6. Monitoring Lab
7. Token Economics + the New Job of FinOps
8. Practical Evaluation Systems
Role-Readiness Capstone
Operate an AI factory portfolio from use-case intake through production. Forecast accelerator demand, manage deployment gates, reliability and AI economics, then reallocate capacity.
Proof Rubric
- intake/stage gates
- architecture
- capacity forecast
- utilization dashboard
- cost/token model
- eval/release gates
- incident metrics
- quarterly factory review