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.
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.
Course Overview [Autogenerated] Hi, everybody. My name is Ranjan Villain and welcome to my course, optimizing Microsoft Azure e Solutions. I am a data and tech strategy consultant with over 12 years of industrial experience in the field. Off Data Analytics, which includes big data, data science and management Information systems, as they say, is the new electricity, which many startups are trying to harness to build new platforms on. Businesses are trying to reinvigorate the existing solution offerings for their customers. In this course, we're going to study Microsoft as your cloud platforms. E I service is for designing, deploying on, optimizing your solutions built Microsoft Azure. Some of the media topics that we will cover include howto up to my scalability of training models. On pick data sets advantage off using as your premium blob storage collecting performance metrics off mortals deployed as Web service and production izing your machine learning models with Emma loss. By the end of the scores, you will realize the power which Microsoft's as you're a service, is provides for scaling on optimizing your machine learning applications. I hope you will join me on this journey to learn Microsoft as your service is with the optimizing as you're a solution. Scores at brutal site