- Module 1: Learn how to design a data ingestion solution for training data used in machine learning projects.
In this module, you'll learn how to:
- Identify your data source and format
- Choose how to serve data to machine learning workflows
- Design a data ingestion solution
- Module 2: Azure Machine Learning Python SDK v2
In this module, you'll learn how to:
- Identify machine learning tasks
- Choose a service to train a model
- Choose between compute options
- Module 3: Azure Machine Learning Python SDK v2
In this module, you'll learn how to:
- Understand how a model will be consumed.
- Decide whether to deploy your model to a real-time or batch endpoint.
- Module 4: Design machine learning operations MLOps solution with Azure Machine Learning Python SDK v2.
In this module, you will:
- Explore an MLOps architecture.
- Design for monitoring.
- Design for retraining.
Overview
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Syllabus
- Module 1: Module 1: Design a data ingestion strategy for machine learning projects
- Introduction
- Identify your data source and format
- Choose how to serve data to machine learning workflows
- Design a data ingestion solution
- Exercise: Design a data ingestion strategy
- Knowledge check
- Summary
- Module 2: Module 2: Design a machine learning model training solution
- Introduction
- Identify machine learning tasks
- Choose a service to train a machine learning model
- Decide between compute options
- Exercise: Design a model training strategy
- Knowledge check
- Summary
- Module 3: Module 3: Design a model deployment solution
- Introduction
- Understand how model will be consumed
- Decide on real-time or batch deployment
- Exercise - Design a deployment solution
- Summary
- Module 4: Module 4: Design a machine learning operations solution
- Introduction
- Explore an MLOps architecture
- Design for monitoring
- Design for retraining
- Knowledge check
- Summary