Choosing the Appropriate Microsoft Azure Services and Features from Pluralsight

This course will set the scene for understanding the different Azure services which are available to enable and support AI solutions and how to map business requirements in order to arrive at the right recommendations for your data teams.

AI solutions in Microsoft Azure consist of a number of independent resources and services working together holistically to produce a complex solution. As an AI Engineer, In this course, Choosing the Appropriate Microsoft Azure Services and Features, you’ll gain understanding of the processes which are inherent within an AI solution as well as some of the challenges faced by data scientists in the building and training of machine learning models in order to be able to recommend the most appropriate services and features. First, you’ll look at the different types of data that you’re going to need to understand and deal with, including recommending the right services to support different data scenarios. Then, you’ll explore the difference between machine learning models and frameworks, including the different types of machine learning models, incorporating both standard machine learning as well as deep learning. Finally, you’ll explore machine learning pipelines and automated machine learning, including the business and technical challenges that these technologies are designed to overcome. At the end of this course, you will have a basic understanding of the different Azure services.

What's inside

Syllabus

Course Overview

Understanding Storage for Azure AI Solutions

Understanding Processing in Azure AI Solutions

Understanding Azure AI Services and Models

Understanding Azure AI Components and Endpoints

Understanding Automated Machine Learning

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Prepares learners to make optimal recommendations for AI solutions within their organization

Explores key considerations for data scientists when designing and developing machine learning models

Covers foundational concepts in Azure AI services, models, and components

Introduces different types of data and their implications for AI solutions

Examines challenges and solutions in building and training machine learning models

Provides a comprehensive overview of Azure AI services for data storage, processing, and modeling

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Choosing the Appropriate Microsoft Azure Services and Features with these activities:

Follow online tutorials on Azure AI services

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Azure is a cloud platform that provides various AI services such as Azure Machine Learning and Cognitive Services. Finding online tutorials about these services will help you better understand the capabilities of Azure AI.

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Search for online tutorials on Azure AI services
Select tutorials that cover the topics you're interested in
Follow the tutorials and complete the exercises

Complete practice problems on machine learning algorithms

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Practice is essential for mastering machine learning algorithms. Completing practice problems will help you improve your understanding of the algorithms and how to apply them to real-world problems.

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Find practice problems online or in textbooks
Attempt to solve the problems on your own
Check your solutions against the provided answers

Build a small machine learning project using Azure AI services

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Building a project will help you apply the concepts you learn in the course to a real-world problem.

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Choose a small project idea that you're interested in
Gather the necessary data and resources
Build the project using Azure AI services
Deploy the project and test it with real data

Three other activities

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Contribute to open-source AI projects

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Contributing to open-source projects is a great way to learn about AI and the latest developments in the field.

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Find open-source AI projects that you're interested in
Read the documentation and understand the codebase
Make a small contribution to the project
Submit a pull request with your changes

Mentor other students learning about AI

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Mentoring others can help you solidify your understanding of AI concepts and improve your communication skills.

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Join a study group or online forum for students learning about AI
Offer to help other students with their questions or problems
Lead discussions or give presentations on AI topics

Create a collection of resources on AI

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Creating a collection of resources will help you organize your learning and make it easier to find the information you need.

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Gather resources from online sources, books, and articles
Organize the resources into different categories
Create a document or website to share your collection

Career center

Learners who complete Choosing the Appropriate Microsoft Azure Services and Features will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers specialize in the development and implementation of machine learning algorithms and models. This course, Choosing the Appropriate Microsoft Azure Services and Features, may be useful for aspiring Machine Learning Engineers, as it can help build a foundation in understanding the different Azure services and features that are available to support AI solutions.

See salaries and explore the career path for Machine Learning Engineer

Data Architect

Data Architects are responsible for designing, building, and maintaining the architecture of data systems. This course, Choosing the Appropriate Microsoft Azure Services and Features, may be useful for aspiring Data Architects who wish to learn about the different Azure services and features that are available to support AI solutions.

See salaries and explore the career path for Data Architect

Cloud Architect

Cloud Architects design, build, and manage cloud computing systems. This course, Choosing the Appropriate Microsoft Azure Services and Features, may be useful for aspiring Cloud Architects who would like to learn about the different Azure services and features that are available to support AI solutions.

See salaries and explore the career path for Cloud Architect

Software Engineer

Software Engineers design, develop, and maintain software systems. This course, Choosing the Appropriate Microsoft Azure Services and Features, may be useful for aspiring Software Engineers who wish to learn about the different Azure services and features that are available to support AI solutions.

See salaries and explore the career path for Software Engineer

Data Scientist

Data Scientists use artificial intelligence for speech recognition, language translation, and image processing technologies to build machine learning models. This course, Choosing the Appropriate Microsoft Azure Services and Features, may be useful for aspiring Data Scientists looking to build strong foundations in the development and deployment of AI solutions using Azure services.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts collect, analyze, and interpret data to draw conclusions about the world around us. This course, Choosing the Appropriate Microsoft Azure Services and Features, may be useful for aspiring Data Analysts who would like to learn about the different Azure services and features that are available to support AI solutions.

See salaries and explore the career path for Data Analyst

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze data and make predictions. This course, Choosing the Appropriate Microsoft Azure Services and Features, may be useful for aspiring Quantitative Analysts who would like to learn about the different Azure services and features that are available to support AI solutions.

See salaries and explore the career path for Quantitative Analyst

Statistician

Statisticians collect, analyze, and interpret data to draw conclusions about the world around us. This course, Choosing the Appropriate Microsoft Azure Services and Features, may be useful for aspiring Statisticians who would like to learn about the different Azure services and features that are available to support AI solutions.

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Security Analyst

Security Analysts identify, assess, and mitigate security risks. This course, Choosing the Appropriate Microsoft Azure Services and Features, may be useful for aspiring Security Analysts who would like to learn about the different Azure services and features that are available to support AI solutions.

See salaries and explore the career path for Security Analyst

Business Analyst

Business Analysts analyze business processes and identify opportunities for improvement. This course, Choosing the Appropriate Microsoft Azure Services and Features, may be useful for aspiring Business Analysts who would like to learn about the different Azure services and features that are available to support AI solutions.

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Database Administrator

Database Administrators design, build, and maintain databases. This course, Choosing the Appropriate Microsoft Azure Services and Features, may be useful for aspiring Database Administrators who would like to learn about the different Azure services and features that are available to support AI solutions.

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Network Administrator

Network Administrators design, build, and maintain computer networks. This course, Choosing the Appropriate Microsoft Azure Services and Features, may be useful for aspiring Network Administrators who would like to learn about the different Azure services and features that are available to support AI solutions.

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Data Engineer

Data Engineers design, build, and maintain data pipelines. This course, Choosing the Appropriate Microsoft Azure Services and Features, may be useful for aspiring Data Engineers who would like to learn about the different Azure services and features that are available to support AI solutions.

See salaries and explore the career path for Data Engineer

Cloud Engineer

Cloud Engineers design, build, and maintain cloud computing systems. This course, Choosing the Appropriate Microsoft Azure Services and Features, may be useful for aspiring Cloud Engineers who would like to learn about the different Azure services and features that are available to support AI solutions.

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Systems Analyst

Systems Analysts design, build, and maintain computer systems. This course, Choosing the Appropriate Microsoft Azure Services and Features, may be useful for aspiring Systems Analysts who would like to learn about the different Azure services and features that are available to support AI solutions.

See salaries and explore the career path for Systems Analyst