Name: AWS AI/ML Template for Finance - Citadel Cloud Management
SKU: AIK-AWS-FIN-CT-002

Description

End-to-end MLOps template for AWS covering model training, experiment tracking, feature stores, model registry, and production serving for finance use cases. Covers SageMaker, Vertex AI, and Azure ML with migration guides between platforms.

Program Positioning: Citadel Applied Outcomes Framework

This offer is structured around three outcomes: delivery speed, operational resilience, and audit-ready governance. The content is implementation-first and mapped to production execution standards.

Who This Is For

Cloud Engineer
Platform Engineer
Security Engineer

Prerequisites

Basic networking (DNS, TLS, HTTP)
Linux/CLI fundamentals
Version control and CI fundamentals

Learning Outcomes

Design target-state architecture with explicit trade-off reasoning.
Implement secure, repeatable delivery workflows with measurable controls.
Translate technical execution into business and compliance outcomes.

Product Implementation Path

Assess baseline state and identify execution gaps
Apply blueprint in staged rollout (dev, test, production)
Run verification, hardening, and governance checks
Handover runbooks, ownership matrix, and KPI dashboard

Expected Deliverables

Reference architecture diagram and decision record
Operational runbook with rollback steps
Validation checklist mapped to acceptance criteria

Success Metrics

Deployment lead time
Change failure rate
Mean time to recovery (MTTR)
Cost-per-environment efficiency

Official Resource References

Certification and Credential Pathways

AWS Certification Paths