Design a machine learning solution
Offered By: Microsoft via Microsoft Learn
Course Description
Overview
- 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.
 
 
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
 
 
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