Section fixes

0-GettingStarted/README.md

@@ -1,38 +1,12 @@
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-# Project Accelerator Stages
+# AML-Ops Project Accelerator Execution Guide
 
-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
 
-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
+2. Design for ML Ops with AML: Infrastructure + Service Management Design, such as
 
 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

1-MLOps Foundations/1-MLOpsOverview/README.md

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-sort: 2
+sort: 1
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 # How is MLOps different from DevOps?
 

1-MLOps Foundations/2-SkillsRoles&Responsibilities/README.md

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-sort: 1
+sort: 2
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 # Skills, Roles & Responsibilities