Microsoft Azure AI Fundamentals: Explore visual tools for machine learning
Offered By: Microsoft via Microsoft Learn
Course Description
Overview
- Module 1: Use automated machine learning in Azure Machine Learning
- Module 2: Create a Regression Model with Azure Machine Learning designer
- Module 3: Create a classification model with Azure Machine Learning designer
- Module 4: Create a Clustering Model with Azure Machine Learning designer
Learn how to use the automated machine learning user interface in Azure Machine Learning
Learn how to train and publish a regression model with Azure Machine Learning designer.
Train and publish a classification model with Azure Machine Learning designer
Train and publish a clustering model with Azure Machine Learning designer
Syllabus
- Module 1: Use automated machine learning in Azure Machine Learning
- Introduction
- What is machine learning?
- Create an Azure Machine Learning workspace
- Create compute resources
- Explore data
- Train a machine learning model
- Deploy a model as a service
- Knowledge check
- Summary
- Module 2: Create a Regression Model with Azure Machine Learning designer
- Introduction
- Create an Azure Machine Learning workspace
- Create compute resources
- Explore data
- Create and run a training pipeline
- Evaluate a regression model
- Create an inference pipeline
- Deploy a predictive service
- Knowledge check
- Summary
- Module 3: Create a classification model with Azure Machine Learning designer
- Introduction
- Create an Azure Machine Learning workspace
- Create compute resources
- Explore data
- Create and run a training pipeline
- Evaluate a classification model
- Create an inference pipeline
- Deploy a predictive service
- Knowledge check
- Summary
- Module 4: Create a Clustering Model with Azure Machine Learning designer
- Introduction
- Create an Azure Machine Learning workspace
- Create compute resources
- Explore data
- Create and run a training pipeline
- Evaluate a clustering model
- Create an inference pipeline
- Deploy a predictive service
- Knowledge check
- Summary
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