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Prepare for both AI-900 and the AI-901 exam
What you’ll learn:
Prepare for both the AI-900 exam and the new AI-901 beta exam — covering all official Microsoft exam objectives for both certifications.
Understand core AI concepts including machine learning, deep learning, NLP, computer vision, generative AI, and agentic AI.
Learn the principles of Responsible AI — fairness, transparency, accountability, privacy, inclusiveness, reliability, and safety.
Deploy and interact with AI models using the Microsoft Foundry portal, including generative AI apps and single-agent solutions.
Build lightweight client applications using the Foundry SDK and extract information from documents, images, audio, and video using Azure Content Understanding.
Release v5.0 – May 2026 (AI-901 Beta Content Added)
The AI-900 exam will retire on June 30, 2026, and is being replaced by AI-901: Azure AI Fundamentals (Refreshed). Since AI-901 is currently in beta, this course now covers both exams so you can prepare for either path with confidence.
What’s new in AI-901?
AI-901 is a substantial redesign that pivots from individual Azure AI services to the unified Microsoft Foundry platform. The new exam emphasises implementing generative AI apps and agents, deploying models in the Foundry portal, building lightweight client applications with the Foundry SDK, and extracting information using Azure Content Understanding. Examinotion
The exam is structured around two core skill areas:
- Identify AI Concepts and Responsibilities (40–45%) — covering responsible AI principles, AI model components and configurations, and AI workloads including generative and agentic AI, text analysis, speech, computer vision, and information extraction Microsoft Learn
- Implement AI Solutions using Microsoft Foundry (55–60%) — covering generative AI apps and agents, text and speech solutions, computer vision and image generation, and information extraction using Azure Content Understanding in Foundry Tools
_Release v4.0 – August2025_
Artificial Intelligence is no longer the future—it’s the present, reshaping how industries operate and how we work, live, and interact. With tools like ChatGPT and Azure AI becoming part of everyday workflows, staying current with AI fundamentals is not just useful—it’s essential.
The entire course has been updated and refreshed. All chapters have been re-recorded. This has been done to ensure that all contents now reflect the most recent changes to the services on the Azure platform.
All course contents have also been aligned as per any changes to the course objectives.
_Release v3.0 – January 2025_
The entire course has been updated and refreshed. All chapters have been re-recorded. This has been done to ensure that all contents now reflect the most recent changes to the services on the Azure platform.
All course contents have also been aligned as per any changes to the course objectives.
Additional questions also added to the Practice Tests available at the end of the course.
_Release v2.0 – July 2023_
The entire course has been updated and refreshed. All chapters have been re-recorded. This has been done to ensure that all contents now reflect the most recent changes to the services on the Azure platform.
All course contents have also been aligned as per any changes to the course objectives.
Quiz questions have also been added to the end of each section.
This course is a preparation course for students who want to attempt the Exam AI-900: Microsoft Azure AI Fundamentals
This course has contents for the Exam AI-900
The objectives covered in this course are
- Describe AI workloads and considerations (15-20%) – Here we will discuss the the basics on AI-based workloads.
- Describe fundamental principles of machine learning on Azure (30-35%) – Here we will understand what is Machine Learning. We will also look at labs on how to work with the Machine Learning service.
- Describe features of computer vision workloads on Azure (15-20%) – Here we will look at the different features of the Computer Vision service. We will also look at the Custom Vision service, the Face service and the Form Recognizer service.
- Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%) – Here we will look at services such the Text Analytics service, the Language Understanding Intelligence Service , the Speech service.
- Describe features of conversational AI workloads on Azure (15-20%) – Here we will see the basics on the QnA Maker service and the Bot Framework.
There is also a number of labs available in this course. These labs focus on the different services available in Azure when it comes to Machine Learning and Artificial Intelligence.
Who this course is for:
Beginners with no AI or Azure background who want to earn the Microsoft Azure AI Fundamentals certification via the AI-900 or the new AI-901 exam.
IT professionals and cloud practitioners looking to add AI skills to their existing Azure or cloud computing experience.
Aspiring AI developers who want a foundational understanding of Microsoft Foundry, generative AI apps, and AI agents before moving on to the AI Engineer or Data Scientist certifications.

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