Optimizing Microsoft Azure AI Solutions

by Ranjan Relan

Microsoft's cloud-based platform Azure provides multiple AI services such as AzureML Compute Cluster, Azure HDInsight, Azure Databricks, Azure DevOps. In this course you will learn how to design, deploy, and optimize applications built with Microsoft AI Solutions.

What you'll learn

Cloud-based platform Microsoft Azure has multiple AI services which could be used to train your model for big data sets as well as to deploy your model as a web service. In this course, Optimizing Microsoft Azure AI Solutions, you will learn the foundational knowledge of how to train your machine learning models using Azure's services such AzureML Compute Cluster, Azure HDInsight, Azure Databricks, and Azure Data Science Virtual Machine. Next, you will discover how to optimize your storage by using Azure Premium blob storage service and data formats such as Pickle and Parquet. Finally, you will explore how to scale your machine learning models and manage end-to-end machine learning life cycle using the principle of MLOps. When you’re finished with this course, you will have the skills and knowledge of Mircosoft Azure's core AI services needed to design, deploy, and optimize your model.

About the author

Ranjan Relan is a Data and Tech Strategy Consultant with more than 11+ years of experience in the field of Analytics which includes working on Machine Learning, Big data and Data ware housing projects. He has helped clients across Hi Tech, Telecom and Pharma domain in developing data strategy, cloud adoption strategy, analytics strategy ,solution architecture,etc.

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