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Introduction to machine learning operations (MLOps)

Offered By: Microsoft via Microsoft Learn

Tags

MLOps Courses DevOps Courses Git Courses GitHub Courses Visual Studio Code Courses Azure Machine Learning Courses Azure DevOps Courses

Course Description

Overview

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  • Module 1: Learn about DevOps for machine learning, machine learning operations, and MLOps.

    In this module, you'll learn:

    • Why DevOps is useful for machine learning projects.
    • Which DevOps principles can be applied to machine learning projects.
    • How to connect Azure DevOps and GitHub with Azure Machine Learning.
  • Module 2: Learn about source control for machine learning, machine learning operations, and MLOps.
    • Trunk-based development with Git.
    • How to work with Git in Azure Repos and GitHub.
    • How to develop locally with Visual Studio Code.
  • Module 3: Learn about automation for machine learning, machine learning operations, and MLOps.
    • How to use Azure Machine Learning pipelines.
    • How to use Azure Pipelines and GitHub Actions to automate workflows.
  • Module 4: Learn about continuous development for machine learning, machine learning operations, and MLOps.
    • How to set up environments for development and production.
    • How to control deployments with approval gates.

Syllabus

  • Module 1: Module 1: Introduction to DevOps principles for machine learning
    • Introduction
    • DevOps for machine learning
    • DevOps tools
    • Integrate Azure Machine Learning with DevOps tools
    • Knowledge check
    • Summary
  • Module 2: Module 2: Source control for machine learning projects
    • Introduction
    • Repositories and trunk-based development
    • Work with Azure Repos and GitHub repos
    • Develop locally with Visual Studio Code
    • Verify your code locally
    • Knowledge check
    • Summary
  • Module 3: Module 3: Automate machine learning workflows
    • Introduction
    • Azure Machine Learning pipelines
    • Azure Pipelines
    • GitHub Actions
    • Knowledge check
    • Summary
  • Module 4: Module 4: Continuous deployment for machine learning
    • Introduction
    • Set up environments for development and production
    • Control deployments with approval gates
    • Knowledge check
    • Summary

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