Microsoft Azure AI Fundamentals AI-900 Exam Prep Specialization

Launch Your Career in Artificial Intelligence. User services on Microsoft Azure to create AI solutions

Instructor: Microsoft

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5 course series

Get in-depth knowledge of a subject

4.6

(735 reviews)

Beginner level

Recommended experience

1 month

at 10 hours a week

Flexible schedule

Learn at your own pace

5 course series

Get in-depth knowledge of a subject

4.6

(735 reviews)

Beginner level

Recommended experience

1 month

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

You will learn about the types of solutions AI makes possible, and the services on Microsoft Azure that you can use to create them.

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

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Earn 50% off your Microsoft Azure AI Fundamentals AI-900 Certification Exam

Specialization - 5 course series

This Specialization is intended for anyone interested in preparing for the Certified AI-900 Microsoft Azure AI Fundamentals Exam. This program consists of 5 courses to help prepare you to take the certification exam.

You will acquire foundational knowledge of the core concepts related to artificial intelligence (AI) and the services in Microsoft Azure that can be used to create AI solutions. This program is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure.

By the end of this program, you will be ready to take and sign-up for the AI-900 exam. The AI Fundamentals exam is an opportunity to demonstrate your knowledge of how to create AI solutions on Microsft Azure. Each course teaches you the core concepts and skills that are measured by the exam.

Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.

This Specialization will prepare you to take the AI-900: Microsoft Azure AI Fundamentals exam. Upon completion of the Specialization, you will be offered a discount to the Microsoft Azure AI Fundamentals Certification Exam to be redeemed at Pearson Vue, Microsoft's proctor exam site. Limited discount vouchers are available on first-come-first-serve basis. Coursera and Microsoft may end the offer at any time.

Applied Learning Project

You will engage in interactive exercises throughout this program that offers opportunities to practice and implement what you are learning. You will use the Microsoft Learn Sandbox and work directly with services and resources on Microsoft Azure Portal. You will explore Microsoft Azure and get hands-on with live Microsoft Azure resources and services. The beauty about this is that you will be working with real technology but in a controlled environment, which allows you to apply what you learn, and at your own pace.

You will need a Microsoft account to sign into the Sandbox and use Azure services. If you don't have one, you can create one for free. The Learn Sandbox allows free, fixed-time access to a cloud subscription with no credit card required. Learners can safely explore, create, and manage resources without the fear of incurring costs or "breaking production".

Artificial Intelligence on Microsoft Azure

Course 13 hours4.6 (763 ratings)

What you'll learn

How to identify guiding principles for responsible AI
How to identify features of common AI workloads

Skills you'll gain

Category: Human Learning

Category: Computer Vision

Category: Applied Machine Learning

Category: Machine Learning Algorithms

Category: Machine Learning

Microsoft Azure Machine Learning

Course 211 hours4.4 (229 ratings)

What you'll learn

How to describe capabilities of no-code machine learning with Azure Machine Learning Studio
How to identify core tasks in creating a machine learning solution
How to describe core machine learning concepts
How to identify common machine learning types

Skills you'll gain

Category: Algorithms

Category: Human Learning

Category: Computer Vision

Category: Applied Machine Learning

Category: Machine Learning Algorithms

Category: Machine Learning

Computer Vision in Microsoft Azure

Course 38 hours4.6 (104 ratings)

What you'll learn

How to identify Azure tools and services for computer vision tasks
How to identify common types of computer vision solutions

Skills you'll gain

Category: Algorithms

Category: Regression

Category: Human Learning

Category: Applied Machine Learning

Category: Cloud Computing

Category: Machine Learning Algorithms

Category: Machine Learning

Natural Language Processing in Microsoft Azure

Course 47 hours4.7 (105 ratings)

What you'll learn

How to describe features of Natural Language Processing (NLP) workloads on Azure
How to identify features of common NLP Workload Scenarios
How to identify Azure tools and services for NLP workloads

Skills you'll gain

Category: Computer Vision

Preparing for AI-900: Microsoft Azure AI Fundamentals exam

Course 59 hours4.7 (137 ratings)

What you'll learn

How to refresh and test your knowledge of the skills mapped to all the main topics covered in the AI-900 exam
How to demonstrate proficiency in the skills measured in Exam AI-900: Microsoft Azure AI Fundamentals
How to outline the key points covered in the Microsoft Azure AI Fundamentals Specialization
How to describe best practices for preparing for the Exam AI-900: Microsoft Azure AI Fundamentals

Skills you'll gain

Category: Human Learning

Category: Human Computer Interaction

Category: Applied Machine Learning

Category: Machine Learning Algorithms

Category: Machine Learning

Instructor

Microsoft

217 Courses1,475,669 learners

Offered by

Microsoft

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Frequently asked questions

It should take you between four and six months to complete this Specialization. You will be assigned approximately one hours worth of work to complete every week for the fifteen weeks it takes to complete the four courses.

Candidates for this specialization should have a foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services. Specifically, learners should have a broad understanding of how ML and AI can be used to:

process natural language to evaluate sentiment and learn how to recognize what users want.
convert speech into text and text into natural-sounding speech.
translate from one language to another and enable speaker verification and recognition.
analyze pictures, videos, and other visual content.
make decisions and recommendations that automatically improve over time.
moderate content to monitor and remove offensive or risky content.
detect abnormalities in time series data.

This specialization is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience is not required; however, some general programming knowledge or experience would be beneficial.

Yes. We highly recommend taking the courses of each certificate program in the order they are presented. The content in the first four courses builds on information from earlier courses. The final course, Preparing for the AI-900 Microsoft Azure Fundamentals Exam, contains practice exams that assess your knowledge of the content covered in the previous three courses. It makes the most sense to take them in the order they come in.

When you have completed this Specialization you will be able to implement and maintain common machine learning and artificial intelligence workloads on Microsoft Azure. You will know about the types of solutions artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. By the end, you will be ready to take and sign-up for the AI-900 exam.

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.