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Developing AI Models in Microsoft Azure

Sahil Malik
AI is all around us, and it is no longer just the work of scientists. In this course, Developing AI Models in Microsoft Azure, you will learn the ins and outs of Azure Machine Learning Service. You'll start with the basics, and learn how to set up your...
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AI is all around us, and it is no longer just the work of scientists. In this course, Developing AI Models in Microsoft Azure, you will learn the ins and outs of Azure Machine Learning Service. You'll start with the basics, and learn how to set up your development environment with a demo walking through each important step. With your development environment set up, you'll examine how to use the facilities of the Azure machine learning workspace, interact with it via VSCode and Jupyter notebooks using the Azure ML SDK, how to provision remote compute, and how to deploy a model to the various options, such as docker image, ACI, or AKS. By the end of this course, you will have the necessary skills to tackle any enterprise class custom AI problem in the Microsoft Azure ecosystem.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops essential skills for tackling enterprise class custom AI problems in the Microsoft Azure ecosystem
Taught by Sahil Malik, a recognized expert in AI and Azure Machine Learning
Explores Azure Machine Learning Service, which is widely used in industry
Provides hands-on labs and interactive materials for practical experience
Covers a comprehensive range of topics, from basics to advanced concepts
Advises students to take Introduction to Azure Machine Learning before enrolling, which may be a prerequisite for some learners

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Career center

Learners who complete Developing AI Models in Microsoft Azure will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineers lead the development of machine learning solutions, from concept to implementation. They collaborate with data scientists, software engineers, and business stakeholders to gather requirements, design and build models, and deploy them into production. This course, Developing AI Models in Microsoft Azure, provides a comprehensive foundation in Azure Machine Learning Service, enabling you to gain the skills necessary to succeed as a Machine Learning Engineer. You'll learn how to set up your development environment, provision remote compute, deploy models, and more.
Data Scientist
Data Scientists use their knowledge of statistics, machine learning, and programming to extract insights from data. They work with businesses to identify problems that can be solved with data-driven solutions, and then develop and implement those solutions. This course provides a solid foundation in Azure Machine Learning Service, a powerful platform for building and deploying machine learning models. You'll learn how to use Azure ML SDK, provision remote compute, and deploy models to various options. This course can help you build the skills you need to succeed as a Data Scientist.
Software Engineer
Software Engineers design, develop, and maintain software systems. They work with a variety of programming languages and technologies to create software solutions that meet the needs of businesses. This course, Developing AI Models in Microsoft Azure, can help Software Engineers build the skills they need to work with machine learning models. You'll learn how to set up your development environment, use the Azure ML SDK, provision remote compute, and deploy models. This knowledge can be valuable for Software Engineers who want to work on projects that involve machine learning.
Cloud Architect
Cloud Architects design and implement cloud computing solutions. They work with businesses to identify their cloud needs, and then design and build cloud solutions that meet those needs. This course, Developing AI Models in Microsoft Azure, can help Cloud Architects build the skills they need to work with machine learning models in the cloud. You'll learn how to use Azure Machine Learning Service, provision remote compute, and deploy models to the cloud. This knowledge can be valuable for Cloud Architects who want to work on projects that involve machine learning.
Data Analyst
Data Analysts use data to identify trends and patterns. They work with businesses to understand their data, and then develop and implement solutions that improve business outcomes. This course, Developing AI Models in Microsoft Azure, can help Data Analysts build the skills they need to work with machine learning models. You'll learn how to use Azure Machine Learning Service, provision remote compute, and deploy models. This knowledge can be valuable for Data Analysts who want to work on projects that involve machine learning.
Business Analyst
Business Analysts identify and solve business problems. They work with businesses to understand their needs, and then develop and implement solutions that improve business outcomes. This course, Developing AI Models in Microsoft Azure, can help Business Analysts build the skills they need to work with machine learning models. You'll learn how to use Azure Machine Learning Service, provision remote compute, and deploy models. This knowledge can be valuable for Business Analysts who want to work on projects that involve machine learning.
Project Manager
Project Managers plan and execute projects. They work with teams to define project goals, develop project plans, and track project progress. This course, Developing AI Models in Microsoft Azure, can help Project Managers build the skills they need to manage machine learning projects. You'll learn how to use Azure Machine Learning Service, provision remote compute, and deploy models. This knowledge can be valuable for Project Managers who want to manage projects that involve machine learning.
Technical Writer
Technical Writers create documentation for software and other technical products. They work with engineers and other technical experts to gather information and write documentation that is clear, accurate, and easy to understand. This course, Developing AI Models in Microsoft Azure, can help Technical Writers build the skills they need to document machine learning models. You'll learn how to use Azure Machine Learning Service, provision remote compute, and deploy models. This knowledge can be valuable for Technical Writers who want to document projects that involve machine learning.
Product Manager
Product Managers develop and manage products. They work with teams to define product goals, develop product roadmaps, and launch products to market. This course, Developing AI Models in Microsoft Azure, can help Product Managers build the skills they need to work with machine learning models. You'll learn how to use Azure Machine Learning Service, provision remote compute, and deploy models. This knowledge can be valuable for Product Managers who want to work on products that involve machine learning.
Sales Engineer
Sales Engineers help customers evaluate and purchase software and other technical products. They work with customers to identify their needs, and then develop and implement solutions that meet those needs. This course, Developing AI Models in Microsoft Azure, can help Sales Engineers build the skills they need to sell machine learning solutions. You'll learn how to use Azure Machine Learning Service, provision remote compute, and deploy models. This knowledge can be valuable for Sales Engineers who want to sell products that involve machine learning.
Marketing Manager
Marketing Managers develop and execute marketing campaigns. They work with teams to define marketing goals, develop marketing plans, and track marketing results. This course, Developing AI Models in Microsoft Azure, can help Marketing Managers build the skills they need to market machine learning products. You'll learn how to use Azure Machine Learning Service, provision remote compute, and deploy models. This knowledge can be valuable for Marketing Managers who want to market products that involve machine learning.
Financial Analyst
Financial Analysts evaluate and recommend investments. They work with clients to assess their financial needs, and then develop and implement investment strategies.
Human Resources Manager
Human Resources Managers develop and implement HR policies and procedures. They work with employees to address HR issues, and ensure that the organization is compliant with all applicable laws and regulations.
Operations Manager
Operations Managers plan and execute operations. They work with teams to define operational goals, develop operational plans, and track operational results.
Customer Service Representative
Customer Service Representatives provide customer support. They work with customers to answer questions, resolve problems, and process orders.

Reading list

We've selected three 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 Developing AI Models in Microsoft Azure.
Comprehensive textbook on deep learning. Good reference for readers who want to learn more about the theory and practice of deep learning.
Introduction to reinforcement learning. Good reference for readers who want to learn more about this important subfield of ML.

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