Project Accelerator Stages

This Project Accelerator is logically executed across 4 sequential sections.

  1. ML Ops Foundations: Pre-kick off enablement on core Dev Ops, ML Ops fundamentals, such as:
    • Dev Ops Overview:
      • Key principles
      • Culture
      • CI/CD
      • What is Infrastructure as Code
        • ML Ops Overview:
        • ML Ops v. Dev Ops
        • Key Principles and Maturity Model
        • Skills Roles and Responsibilities
  2. Design for ML Ops with AML: Infrastructure + Service Management Design, such as:
    • AML Foundations:
      • Key Architecture Concepts
      • ML Ops with AML
    • ML Ops Service Management:
      • Process Maps (who does what, where)
    • Infrastructure Design:
      • Technology Choice Guides
      • Reference Architectures + custom scenarios where known (e.g., attach existing ACR)
      • Map team Roles to RBAC
      • Validation Checklists
      • WAF Reviews
  3. Deploy: Infrastructure templates and validation checklists to provision resources per design
    • Templates for deployment – ARM, Terraform
    • Validation test scripts. Validate that the environment is working as intended.
  4. Migrate/ Operate: A reference implementation of ML Ops using AML that can be used to move your existing models
    • Code artefacts to move your first workload (existing model) onto AML and "MLOPs" it across the newly created environments
    • Operational best practices