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There is 1 module in this course
Whether you're just beginning to work with Artificial Intelligence (AI) or you already have AI experience and are new to Microsoft Azure, this course provides you with everything you need to get started. Artificial Intelligence (AI) empowers amazing new solutions and experiences; and Microsoft Azure provides easy to use services to help you build solutions that seemed like science fiction a short time ago; enabling incredible advances in health care, financial management, environmental protection, and other areas to make a better world for everyone.
In this course, you will learn the key AI concepts of machine learning, anomaly detection, computer vision, natural language processing, and conversational AI. You’ll see some of the ways that AI can be used and explore the principles of responsible AI that can help you understand some of the challenges facing developers as they try to create ethical AI solutions.
This course will help you prepare for Exam AI-900: Microsoft Azure AI Fundamentals. This is the first course in a five-course program that prepares you to take the AI-900 certification exam. This course teaches you the core concepts and skills that are assessed in the AI fundamentals exam domains. This beginner course is suitable for IT personnel who are just beginning to work with Microsoft Azure and want to learn about Microsoft Azure offerings and get hands-on experience with the product. Microsoft Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Microsoft Azure Data Scientist Associate or Microsoft Azure AI Engineer Associate, but it is not a prerequisite for any of them.
This course 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. To be successful in this course, you need to have basic computer literacy and proficiency in the English language. You should be familiar with basic computing concepts and terminology, general technology concepts, including concepts of machine learning and artificial intelligence.
Artificial Intelligence (AI) empowers amazing new solutions and experiences, and Microsoft Azure provides easy-to-use services to help you get started. In this module, you will see how Artificial Intelligence enables the creation of powerful solutions to many kinds of problems. AI systems can exhibit human characteristics to analyze the world around them, make predictions or inferences, and act on them in ways that we could only imagine a short time ago.
You will also see how with this power, comes responsibility. As developers of AI solutions, we must apply principles that ensure that everyone benefits from AI without disadvantaging any individual or section of society.
Our goal at Microsoft is to empower every individual and organization on the planet to achieve more.
In this next revolution of digital transformation, growth is being driven by technology. Our integrated cloud approach creates an unmatched platform for digital transformation. We address the real-world needs of customers by seamlessly integrating Microsoft 365, Dynamics 365, LinkedIn, GitHub, Microsoft Power Platform, and Azure to unlock business value for every organization—from large enterprises to family-run businesses. The backbone and foundation of this is Azure.
What will I actually learn in this Azure AI course?
You'll learn how to recognize common AI workloads on Microsoft Azure and understand where they fit in real situations. It starts with core AI ideas, then moves into areas like machine learning and computer vision, and ends with the principles that guide responsible use. Along the way, you'll use guided exercises to do things like analyze images and explore how a healthcare bot handles conversations.
Do I need any background before starting this course?
No, you don't need a data science or software engineering background to start. Basic computer literacy is expected, and some general programming knowledge can help, but the course is aimed at learners who are new to Microsoft Azure. It moves into AI use cases and Azure services fairly quickly, so it helps to be comfortable with general technology terms even if you haven't worked in AI before.
Is this course beginner-friendly for Azure AI?
Yes, it's beginner-friendly if you want a clear introduction to AI on Azure rather than a deep technical course. The lessons explain common AI tasks in accessible language and use short readings, quizzes, and guided exercises to reinforce the ideas. If you're already looking for advanced model-building or engineering depth, it may feel too introductory.
How long does it take to complete this course?
You can expect about 4 hours of work in total. That makes it manageable as a short course you can finish in one sitting or spread across a few study sessions. The course includes lessons, readings, guided exercises, quizzes, and some discussion-based reflection.
Are there hands-on exercises or labs in this course?
Yes, but the practice is guided rather than project-based. You'll step through exercises such as using the Computer Vision service to analyze images, interacting with a healthcare bot, and applying responsible AI principles to scenarios. That gives you a concrete feel for how Azure AI services are used without requiring you to build a full application.
What skills and topics are covered in this course?
The course focuses on common AI workloads in Azure and the judgment needed to use them responsibly. You'll look at how machine learning supports tasks like prediction and anomaly detection, and how Azure services handle image, language, and conversational tasks. By the end, you should have a clear sense of the kinds of AI problems these services can solve and the ethical issues that come with them.
What can I actually do after finishing this course?
After finishing, you should be able to look at a basic problem and identify which kind of Azure AI capability fits it best. For example, you could decide whether a scenario calls for image analysis, language processing, or a conversational bot, and explain that choice in plain language. It's a useful outcome if you want to evaluate and discuss AI solutions with more confidence, and it also supports AI-900 fundamentals study.
Is this course more focused on theory or hands-on learning?
It's more concept-focused, with guided practice to reinforce the ideas. Most of your time goes into short lessons, readings, and quizzes, with a few exercises that let you try Azure AI scenarios rather than build a full project. That suits learners who want a clear overview before moving into more technical Azure work.
Why would I choose this course over other Azure AI courses?
This course is a strong choice if you want a short, Azure-specific introduction that connects AI use cases to real services and responsible AI. Instead of centering on advanced model building, it uses clear explanations, guided exercises, and AI-900-related context to help you understand what these tools are for. If your goal is to get oriented quickly and decide what to learn next in Azure AI, it's a better fit than a more code-heavy alternative.