You’ve been preparing for the AI Fundamentals exam for weeks. Your plan was simple: understand the basics of AI, then memorise the core Azure AI services.
Then you check the official Microsoft exam page and see that AI-900 has been retired. In its place: AI-901.
For a moment, all your preparation feels uncertain. The old exam mostly tested whether you could recognise AI concepts. This one expects you to know how those concepts actually get used in real Azure deployments, real business problems, real workflows.
Here’s the good news: you don’t have to start over. Your understanding of core AI concepts still counts. What’s changed is the application, you now need to know how Azure AI services come together in practice, not just what they’re called.
So why did Microsoft make this shift now? The answer isn’t random, it comes down to how fast the industry itself has moved.
Here’s what’s actually driving the change:
1. Changing Industry Expectations
The Harvard research study explains how global industry expectations are changing for new hires. It is no longer about replacing expertise but raising the bar of capabilities. With the introduction of new concepts like Generative AI and responsible AI practices, you can match the requirements of new-age companies.
2. Build Solid Foundation
Companies were only experimenting with AI by the time Microsoft launched the AI-900 certification. But today, most of them are spending less time on basic execution and focusing on vision and strategy. As a result, mid- and senior-level employees must know how the product lifecycle works end-to-end and what can go wrong along the way.
3. Reflects Today’s Job Roles
Professionals must be able to use an AI-first approach to solve business problems. Recruiters are not asking about AI basics anymore. They are focused on how to use AI and solve business problems. This quick adoption of GenAI, LLMs, AI agents, and Microsoft Foundry has changed an employer’s expectations, even from entry-level candidates.
Microsoft has identified these changing industry demands and AI development, bringing compatible changes to its AI-901 exam topics.
Does that mean you need to start over?
No, if you were already preparing for AI-900, your core concepts are still relevant. However, you must improve your AI-901 exam preparation and learn how to apply Azure AI services to real-world situations. The goal is to align yourself closely with what the organisations are expecting today.
AI-900 to AI-901: What’s Changed?
If you are transitioning to AI-901, you will notice that the AI-900 skills measured switch from AI-900 to AI-901. While the credential remains the same, i.e., Microsoft Certified: Azure AI Fundamentals, the exam topics have changed.
Now, the exam tests how efficiently you can leverage AI technologies like Generative AI, AI agents, and Microsoft Foundry to build practical solutions. Additionally, the exam also expects you to have a basic understanding of Python and programming techniques.
Here’s a quick summary of the latest changes:
- AI-900 retired on June 30, 2026. Now, AI-901 is the new Azure AI Fundamentals exam.
- Greater emphasis is placed on implementing AI solutions using Microsoft Foundry.
- Generative AI and AI agent concepts are now included in the syllabus.
- Candidates are expected to understand basic Python syntax and how Azure AI services are used in real-world applications.
Even if you were in the middle of AI-900 exam preparation, all you have to do now is go one step further. Understand how the concepts translate into practical applications.
The Azure AI Fundamentals credential itself remains the same. Existing AI-900 certification holders don’t need to recertify and can enrol for the next examination to improve their skills.
However, it is mandatory for the new candidates to pass the AI-901 exam.
Here’s a quick comparison:
| Feature | AI-900 |
AI-901 |
| Status | Retired (June 30, 2026) | Active |
| Certification | Microsoft Certified: Azure AI Fundamentals | Microsoft Certified: Azure AI Fundamentals |
| Primary Focus | AI concepts and Azure AI basics | Practical Azure AI implementation |
| Generative AI | Limited coverage | Expanded coverage |
| Microsoft Foundry | Not included | Major exam objective |
| AI Agents | Not included | Included |
| Python Knowledge | Not required | Basic understanding recommended |
| Real-world Scenarios | Limited | Greater emphasis |
Although the exam has changed, the certification remains Microsoft Cert
Should You Take AI-901 If You Already Passed AI-900?
If you already earned the AI-900 certification, your credential remains valid. Microsoft has not required existing certificate holders to retake the exam.
However, taking AI-901 can still be worthwhile if you want to stay current with Microsoft’s latest AI technologies.
The updated syllabus introduces skills that are increasingly relevant in today’s Azure AI ecosystem, including Microsoft Foundry, generative AI, and AI agents. Learning these topics can help you prepare for more advanced Microsoft AI certifications and improve your understanding of modern AI solutions.
What Are the Azure AI-901 Exam Objectives?
The Azure AI fundamentals certification tests your knowledge of AI concepts and building solutions using Azure tools. It includes two main domains:
1. Identify AI Concepts and Responsibilities (40–45%)
The theoretical domain focuses on your understanding of artificial intelligence and the responsible principles to follow. You must be proficient in when to use AI and how to use it responsibly.
In this domain, you will cover the following:
- Core Artificial Intelligence concepts
- Machine learning fundamentals
- Generative AI and foundation models
- Responsible AI principles
- AI workloads and common business use cases
Additionally, you will learn how to:
Choose the right AI solution for varying business needs.
Identify model capabilities and limitations.
Apply AI solutions responsibly.
The section builds a strong foundation for your Azure-specific AI career.
2. Implement AI Solutions by Using Microsoft Foundry (55–60%)
The next focus should be on using Azure AI services to develop practical solutions. Don’t focus on building complicated solutions yet. But make sure you know how different Azure AI services fit together within Microsoft Foundry.
In this domain, you will cover the AI-901 new exam topics, including:
- Microsoft Foundry
- Azure AI models and deployments
- AI agents
- Language and speech solutions
- Computer vision and image generation
- Information extraction solutions
You will majorly learn how to perform the following tasks:
- Deploying models through Microsoft Foundry
- Selecting Azure AI services for different workloads.
- Reading basic Python code examples that interact with Azure AI services.
- Understanding how Generative AI applications are built using Azure AI technologies.
The second domain holds maximum weightage. So, make sure your AI-901 exam preparation majorly revolves around Microsoft Foundry and common implementation scenarios. It will also turn you into an invaluable asset for your company.
How to Prepare for the AI-901 Exam
Once you know what the exam covers, the next question is how to structure your study time so you’re not just reading concepts but actually applying them.
Start by revisiting your existing AI-900 notes, if you have them. Your grasp of core AI and ML concepts still counts for something. From there, shift your focus to the practical side: Microsoft Foundry, AI agents, and how Azure AI services are deployed in real business scenarios. This is where most candidates need the most new preparation time, since it wasn’t part of the old syllabus.
A structured, week-by-week plan makes this a lot less overwhelming than trying to cover everything at once. If you want a ready-made roadmap that breaks down the syllabus, study timeline, and recommended resources in detail, check out our AI-901 Exam Guide 2026: Everything You Need to Know. It walks you through exactly how to plan your preparation so you can sit for the exam with confidence.
Conclusion
The skills measurement switch from AI-900 to AI-901 reflects how the priorities of recruiters are changing everywhere. Companies that once demanded professionals with basic AI knowledge are now looking for someone who can understand how Azure AI services can solve their challenges.
But if you are already halfway through your AI-901 exam preparation, it is not a waste of time. Rather, you have the chance to build on your existing knowledge and improve your skills. With a structured 5-week study plan and the right learning resources, you can cover the new syllabus and pass the certification exam on your first attempt.
Begin learning about AI-901 new exam topics with Whizlabs and pass confidently.
FAQs
1. What is the AI-901 exam cost?
The AI-901 exam cost is $99 USD. it can change as per the country or region where you attempt the exam.
2. Is the AI-900 credential still valid?
Yes, candidates who have already cleared the AI-900 exam do not have to mandatorily attempt the AI-901 exam. Although you can attempt it to improve your skills and boost your resume.
3. Has the Azure AI-901 exam format changed?
Yes, even though AI-901 is still an entry-level certification exam, it now includes modern Azure tools like Microsoft Foundry, Python coding syntax, and AI agents.
4. What is the AI-901 passing score?
You have to score 700/1000 to pass the AI-901 exam.
5. What is the AI-901 exam duration?
The AI-901 exam duration is 60 minutes, within which you have to answer 40 to 60 questions.
- DP-750 Exam Guide: What to Know Before You Start - August 4, 2026
- Microsoft AI-300 MLOps Engineer Certification Exam Guide 2026 - July 17, 2026
- NCP-AIO Exam Prep: AI Operations Study Guide - July 15, 2026
- AI-901 Exam Guide 2026: Syllabus, Study Plan & Exam Tips - July 7, 2026
- Best Data Engineer Certification in 2026: Full Guide - June 19, 2026
- DP-900 vs AZ-900 vs AI-901: Which Should You Take First? - June 10, 2026
- AZ-700 vs AZ-104: Which Should You Take First? - June 8, 2026
- AWS vs Azure vs Google Cloud Security Certifications: Which One Should You Choose in 2026? - June 3, 2026