Azure ML-Ops (Accelerator)
SECURITY.md
Getting Started
1. Project Accelerator Stages
2. Key Project Roles and Responsibilities
3. Mapping Roles to Project Accelerator Stages
ML Ops Foundations
MLOps Foundation Checklist
What is DevOps?
1. Introduction to planning efficient workloads with DevOps
2. Introduction to developing modern software with DevOps
3. Introduction to delivering quality services with DevOps
4. Introduction to operating reliable systems with DevOps
5. Adopting an Agile culture
6. What is Continuous Integration?
7. What is Continuous Delivery?
8. Automated Testing
9. Infrastructure as Code
10. What are Microservices?
11. Monitoring
/1-MLOpsFoundation/0-DevOpsOverview/media/
What is ML Ops?
1. How is MLOps different from DevOps?
2. MLOps Maturity Model
3. Seven principles for machine learning DevOps
Skills, Roles & Responsibilities
1. Adopting a data science process framework
2. Managing the Data Science Process
3. Skilling Plan
Design and Provision AML Infrastructure
Design and Provision AML Infrastructure Checklist
1. Architecture and Design Concepts of Azure Machine Learning
2. Model management, Deployment, Lineage and Monitoring with Azure Machine Learning
Infrastructure Service Management
1. AML Tool Selection Guide
2. Edge Deployment Technology Selection Criteria
3. Enterprise security and governance for Azure Machine Learning
4. Set up authentication for Azure Machine Learning resources and workflows
5. Manage access to an Azure Machine Learning workspace
6. Cost Management
AML Infrastructure Deployment
AML Infrastructure Deployment Checklist
1. Setup Local Environment for Development
2. Organize and set up Azure Machine Learning environments
3. Creating Separate Environments for Development
Advanced template to create an Azure Machine Learning workspace
Azure Machine Learning Enterprise Terraform Example
Migrate and Operate
1. Key AzureML Concepts for Ops
2. MLOps best practices with Azure Machine Learning
3. ParallelRunStep Performance Tuning Guide
/4-Migrate/dstoolkit-mlops-base/
SECURITY.md
Azure pipeline folder
Notebook Directory
Operation directory
Source folder
Azure ML-Ops (Accelerator)
0-GettingStarted
3-ProjectRolestoStages.md
Mapping Roles to Project Accelerator Stages
ML Ops Foundations:
Design for ML Ops with AML:
Deploy:
Migrate/ Operate:
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2021-2023,
Microsoft
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