Optimizing Microsoft Azure AI Solutions from Pluralsight

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.

What's inside

Syllabus

Course Overview

Optimizing Core Services

Optimizing Storage and Logging

Optimizing Deployments and Operations

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops learning paths that clearly map out steps to achieve objectives

Emphasizes strategies in cloud-based platform Microsoft Azure for building AI solutions

focuses on implementation and optimization of AI solutions with Azure services

Career center

Learners who complete Optimizing Microsoft Azure AI Solutions will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers design, build, and maintain machine learning models. They use their knowledge of mathematics, statistics, and computer science to create models that can learn from data and make predictions. This course would be particularly helpful for Machine Learning Engineers who are looking to learn how to use Microsoft Azure's AI services, such as AzureML Compute Cluster, Azure HDInsight, and Azure Databricks, to optimize their models.

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Data Scientist

Data Scientists use machine learning, statistics, and data mining to extract insights from data. They use this information to solve business problems and make predictions. This course could be helpful for Data Scientists who want to learn how to use Microsoft Azure's AI services to manage the end-to-end machine learning life cycle.

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Software Engineer

Software Engineers design, develop, and maintain software applications. They use their knowledge of programming languages and software development tools to create software that meets the needs of users. This course could be helpful for Software Engineers who want to learn how to develop and deploy machine learning models using Microsoft Azure's AI services.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze data and make predictions. They use this information to make investment decisions and manage risk. This course could be helpful for Quantitative Analysts who want to learn how to use Microsoft Azure's AI services to develop and deploy machine learning models.

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Business Analyst

Business Analysts use data analysis and modeling to identify and solve business problems. They use this information to make recommendations to decision-makers. This course could be helpful for Business Analysts who want to learn how to use Microsoft Azure's AI services to develop and deploy machine learning models that can be used to solve business problems.

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Data Analyst

Data Analysts use data analysis and modeling to identify and solve business problems. They use this information to make recommendations to decision-makers.

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Statistician

Statisticians use mathematical and statistical models to analyze data and make predictions. They use this information to solve problems in a variety of fields, including medicine, finance, and marketing.

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Operations Research Analyst

Operations Research Analysts use mathematical and statistical models to improve the efficiency of operations. They use this information to make recommendations to decision-makers.

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Reading list

We've selected one books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Optimizing Microsoft Azure AI Solutions.

Fundamentals of Azure

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Provides a comprehensive overview of Microsoft Azure, including topics such as cloud computing, virtual machines, and storage. It useful resource for anyone who wants to learn more about Azure.

Fundamentals of Azure Microsoft Azure Essentials

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Optimizing Microsoft Azure AI Solutions

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