- Describe fundamental principles of machine learning on Azure
- Describe AI workloads and considerations
- Describe features of conversational AI workloads on Azure
- Describe features of computer vision workloads on Azure
- Describe features of Natural Language Processing (NLP) workloads on Azure
- Artificial Intelligence (AI)
- Microsoft Azure
- Machine Learning
- Computer Vision
- Natural Language Processing
- Test Preparation
Microsoft Azure AI Fundamentals AI-900 Exam Prep Specialization
Launch Your Career in Artificial Intelligence. User services on Microsoft Azure to create AI solutions
What you will 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.
How to identify guiding principles for responsible AI
How to identify features of common AI workloads
How to describe capabilities of no-code machine learning with Azure Machine Learning Studio
Skills you will gain
About this Specialization
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".
How the Specialization Works
A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.
Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.
Earn a Certificate
When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.
There are 5 Courses in this Specialization
Artificial Intelligence on Microsoft Azure
Microsoft Azure Machine Learning
Computer Vision in Microsoft Azure
Frequently Asked Questions
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More questions? Visit the Learner Help Center.