End-to-end machine learning operations (MLOps) with Azure Machine Learning

Overview

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Module 1: MLOps, machine learning operations
In this module, you'll learn how to:
- Convert notebook to scripts.
- Work with YAML to define a command or pipeline job.
- Run scripts as a job with the CLI v2.
Module 2: MLOps, machine learning operations
In this module, you'll learn how to:
- Create and assign a service principal the permissions needed to run an Azure Machine Learning job.
- Store Azure credentials securely using secrets in GitHub Secrets.
- Create a GitHub Action using YAML that uses the stored Azure credentials to run an Azure Machine Learning job.
Module 3: Learn how to trigger GitHub Actions with feature-based development to achieve machine learning operations or MLOps.
In this module, you'll learn how to:
- Work with feature-based development.
- Protect the main branch.
- Trigger a GitHub Actions workflow by merging a pull request.
Module 4: machine learning operations, MLOps, linter, linting, unit tests, code check
In this module, you'll learn how to:
- Run linters and unit tests with GitHub Actions.
- Integrate code checks with pull requests.
- Troubleshoot errors to improve your code.
Module 5: machine learning operations, MLOps, environments
In this module, you'll learn how to:
- Set up environments in GitHub.
- Use environments in GitHub Actions.
- Add approval gates to assign required reviewers before moving the model to the next environment.
Module 6: machine learning operations, MLOps, model deployment, online endpoint
In this module, you'll learn how to:
- Deploy a model to a managed endpoint.
- Trigger model deployment with GitHub Actions.
- Test the deployed model.

Syllabus

Module 1: Module 1: Use an Azure Machine Learning job for automation
- Introduction
- Understand the business problem
- Explore the solution architecture
- Create Azure Machine Learning jobs
- Exercise
- Knowledge check
- Summary
Module 2: Module 2: Trigger Azure Machine Learning jobs with GitHub Actions
- Introduction
- Understand the business problem
- Explore the solution architecture
- Use GitHub Actions for model training
- Exercise
- Knowledge check
- Summary
Module 3: Module 3: Trigger GitHub Actions with feature-based development
- Introduction
- Understand the business problem
- Explore the solution architecture
- Trigger a workflow
- Exercise
- Knowledge check
- Summary
Module 4: Module 4: Work with linting and unit testing in GitHub Actions
- Introduction
- Understand the business problem
- Explore the solution architecture
- Run linting and unit testing
- Exercise
- Knowledge check
- Summary
Module 5: Module 5: Work with environments in GitHub Actions
- Introduction
- Understand the business problem
- Explore the solution architecture
- Set up environments
- Exercise
- Knowledge check
- Summary
Module 6: Module 6: Deploy a model with GitHub Actions
- Introduction
- Understand the business problem
- Explore the solution architecture
- Model deployment
- Exercise
- Knowledge check
- Summary