What is the AI-102 Microsoft Azure AI Engineer Associate exam?
The AI-102 Microsoft Azure AI Engineer Associate exam, exam code AI-102, is an Microsoft certification exam at the Associate level. It sits in the AI and Machine Learning category. Passing it earns the Microsoft Certified: Azure AI Engineer Associate credential.
The exam checks whether you can build, manage, and deploy AI solutions on Azure. It covers five areas: Azure AI Services, Computer Vision, NLP, Knowledge Mining, and Conversational AI. Anyone who works with AI services on Azure, from developers to solutions engineers, can sit this exam.
The exam does not test general programming ability on its own. It tests how well you can apply Azure AI services to solve real problems.
To take the exam you need an official voucher. Cyber VK sells this voucher, and it stays valid for 12 months from purchase.
How much does the AI-102 Microsoft Azure AI Engineer Associate exam cost?
Microsoft charges $165 for the official AI-102 voucher. Cyber VK sells the same official voucher for $44.99. That is a saving of $120.01, or 73% off the official price.
The voucher you buy from Cyber VK is the real Microsoft voucher, not a discount code or a coupon with conditions attached. You can buy the AI-102 voucher and use it to book your exam at a Pearson VUE test center or online, whichever suits you.
What is on the AI-102 Microsoft Azure AI Engineer Associate exam?
The exam is built around five domains. Each one tests a different part of building AI solutions on Azure.
| Domain | What it covers |
|---|---|
| Azure AI Services | Planning, provisioning, securing, and monitoring AI services in Azure |
| Computer Vision | Analysing images and video, extracting text, and identifying objects and faces |
| NLP | Working with text, including language understanding, translation, and text analysis |
| Knowledge Mining | Building search solutions that pull structured information out of large sets of content |
| Conversational AI | Designing and building bots and other conversational experiences |
The exam has 60 questions and you get 2 hours 30 minutes to complete it. You need a score of 700 (on 100 to 1000 scale) to pass.
How hard is the AI-102 Microsoft Azure AI Engineer Associate exam?
AI-102 is an Associate level exam, so it expects hands on experience, not just reading. Questions mix multiple choice, scenario based tasks, and case studies that ask you to pick the right Azure AI service for a given problem.
Case studies describe a business scenario and then ask several questions about it. Read the scenario carefully, since the right answer often depends on a detail mentioned only once.
The time limit, 2 hours 30 minutes for 60 questions, is generous if you know the material, but tight if you are guessing. The passing score of 700 (on 100 to 1000 scale) means you need a solid grasp of all five domains, not just one or two.
People who struggle usually know the concepts but have not built anything with the services. Hands on practice with Azure AI Services makes the biggest difference.
How to prepare for the AI-102 Microsoft Azure AI Engineer Associate exam
A steady plan over several weeks works better than last minute cramming. Here is a plan you can adjust to your own pace.
- Week 1: Read the official exam skills outline and set up an Azure account. Get familiar with the Azure portal and the AI services you have not used before.
- Week 2: Study Azure AI Services and Computer Vision. Build a small project that analyses images or extracts text.
- Week 3: Study NLP and Knowledge Mining. Build a small project that processes text or sets up a search index.
- Week 4: Study Conversational AI. Build a simple bot and connect it to a channel.
- Week 5: Review all five domains together. Try the free practice questions on Cyber VK to check where you are weak.
- Week 6: Revisit weak areas, redo your practice projects from memory, and book your exam once you feel ready.
If you already work with Azure AI services day to day, you can shorten this plan. If you are new to Azure, keep the full six weeks.
Common mistakes people make
Many candidates read about the services instead of using them. Reading is not the same as building, and the exam rewards people who have actually configured and deployed AI services.
Some candidates focus on one domain they find interesting and skim the rest. The exam draws from all five domains, so a weak spot in any one area can cost you the pass.
Others treat the exam like a general AI knowledge test. It is really a test of the Azure platform and its AI services, so general machine learning theory only gets you so far.
Finally, some people book the exam before checking the current skills outline. Microsoft updates exam content from time to time, so check the outline close to your exam date rather than relying on older study notes.
A few candidates also buy their exam voucher only days before their test date. Buying it early removes one thing to worry about, and since the voucher stays valid for 12 months, there is no rush to use it right away.
Is the AI-102 Microsoft Azure AI Engineer Associate certification worth it?
The Microsoft Certified: Azure AI Engineer Associate credential tells employers you can build real AI solutions on Azure, not just talk about AI in general terms. For developers and engineers working on Azure, that is a useful signal. It matters most for roles that combine software development with AI service integration, since the exam tests practical building skills rather than theory alone.
Cyber VK also sells vouchers for other Microsoft exams, including AZ-204 Microsoft Azure Developer Associate, DP-203 Microsoft Azure Data Engineer Associate, PL-300 Microsoft Power BI Data Analyst Associate, MB-330 Microsoft Dynamics 365 Supply Chain Management Functional Consultant Associate, PL-200 Microsoft Dynamics 365 Customer Experience Analyst Associate Customer Experience Edition, SC-100 Microsoft Cybersecurity Architect Expert, AB-900 Microsoft Copilot and Agentic AI Fundamentals, and MB-920 Microsoft Dynamics 365 Fundamentals ERP. If your role touches more than one part of Azure or the Microsoft stack, it is worth looking at these alongside AI-102.
Whether it is worth it for you depends on your role. If you build or plan to build AI features on Azure, the certification lines up directly with your work and is worth the study time.