This certification is an opportunity for you to demonstrate knowledge of machine learning and AI concepts and related Microsoft Azure services. As a candidate for this certification, you should have familiarity with the self-paced or instructor-led learning material.
This certification is intended for you if you have both technical and non-technical backgrounds. Data science and software engineering experience are not required. However, you would benefit from having awareness of:
- Basic cloud concepts
- Client-server applications
You can use Azure AI Fundamentals 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.
You may be eligible for ACE college credit if you pass this certification. See ACE college credit for certification exams for details.
- Describe Artificial Intelligence workloads and considerations
- Describe fundamental principles of machine learning on Azure
- Describe features of computer vision workloads on Azure
- Describe features of Natural Language Processing (NLP) workloads on Azure
- Describe features of generative AI workloads on Azure
- Aspiring AI Professionals
- Developers and IT Professionals
- Business Decision-Makers
- Students and Educators
- General Technology Enthusiasts
- Anyone Curious about Azure AI
The AI-900: Microsoft Azure AI Fundamentals course is designed to be accessible to a wide audience, including individuals with diverse backgrounds and varying levels of technical expertise. As a fundamental course, it has minimal prerequisites. However, participants may benefit from having a basic understanding of certain concepts. While not mandatory, the following are suggested prerequisites:
- General Technology Familiarity
- Cloud Computing Awareness
- Data Basics
- Mathematics and Statistics (Optional)
- Basic Programming Knowledge (Optional)
- Lesson: Fundamental AI concepts
- Lesson: Fundamentals of machine learning
- Lesson: Fundamentals of Azure AI services
- Exercise: Explore Azure AI services
- Lesson: Computer vision concepts
- Lesson: Computer vision capabilities in Azure
- Exercise: Analyze images in Vision Studio
- Lesson: Natural Language Processing concepts
- Lesson: Natural Language Processing capabilities in Azure
- Exercise: Analyze text with Language Studio
- Lesson: Azure AI Document Intelligence
- Lesson: Azure AI Search
- Exercise: Extract form data in Document Intelligence Studio
- Lesson: Fundamentals of Generative AI
- Lesson: Fundamentals of Azure OpenAI Service
- Lesson: Explore responsible Generative AI
- Exercise: Explore generative AI with Bing Chat copilot
Yes, this class prepares an attendee for the Microsoft Certified Azure AI Fundamentals Exam AI-900. Azure AI Fundamentals Certification can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it is not a prerequisite for any of them.
The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solutions AI makes possible and the services on Microsoft Azure that are used to create them. Students don’t need to have any experience with Microsoft Azure before taking this course; however, a basic level of familiarity with computer technology, cloud computing, and the Internet is assumed.
Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running Python, so knowledge of fundamental programming principles will be helpful.
The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them.
