====== Role Based Cloud AI Training Plan ======

| Role | Topics | Courses/Certifications | Recommended Duration |
| ML Engineers | ML Fundamentals, Time Series, Model Deployment | Google ML Crash Course, Fast.ai, AWS ML Specialty, Coursera MLOps | Weeks 1–12 |
| DevOps / MLOps Engineers | CI/CD for ML, Monitoring, Auto-remediation, Containerization | AWS MLOps Workshop, Coursera MLOps, Kubernetes CKA | Weeks 5–12 |
| Solution Architects / PMs | Responsible AI, FinOps, Cross-Cloud Governance | AI for Everyone, AI Governance (Coursera), FinOps Practitioner | Weeks 1–4, 13–14 |
| Security Engineers | Responsible AI, Audit Logging, IAM, Multi-cloud Security | Microsoft Responsible AI, AWS Security Specialty | Weeks 13–14 |
| General Team / Support | Ticket Triage, NLP, Generative AI Use Cases | DataCamp NLP, Prompt Engineering Guide, Azure OpenAI | Weeks 9–12 |

[[wiki:ai:home-page|AI Cloud Managed Services Policies and Procedures]]