Who should attend AI-102 training?
AI-102 training is designed for software developers building cloud-based AI applications, AI engineers integrating Azure cognitive services, and backend developers handling language, vision, or document processing in a single system. Technical consultants who need to justify AI architecture decisions to stakeholders also benefit.
AI-102 training is designed for software developers building cloud-based AI applications, AI engineers integrating Azure cognitive services, and backend developers handling language, vision, or document processing in a single system. Technical consultants who need to justify AI architecture decisions to stakeholders also benefit.
The course requires hands-on experience with Python or C#, REST APIs, and basic cloud concepts. Without this foundation, lab completion and service integration exercises will be difficult.
Participants build working AI applications during the 3-day course: document intelligence pipelines, multi-turn conversational agents, and computer vision solutions using Azure AI Foundry and core services. Abilene Academy delivers training through active consultants who implement these environments in client projects.
Related Information
- Exam AI-102 · Passing score: 700/1000
- Standard Microsoft exam format · Available in EN, FR, DE, ES, IT · CHF 119 in Switzerland
- Microsoft certification · No expiry — stays current with Azure AI product updates
- Recommended path: AZ-900 or AI-900 → AI-102 with active Python/REST experience
- 3-day instructor-led program at Abilene Academy · Hands-on labs with Azure AI Foundry throughout
Expert Insight
Candidates without active Python or C# experience consistently struggle from the first lab session — the course assumes SDK competency, not just familiarity. They spend lab time on syntax errors and import issues instead of learning how Azure AI services integrate. By day two, they are a full module behind the rest of the group.
The strongest AI-102 attendees are developers who have already deployed at least one REST-based integration in a professional context. They arrive knowing how to read an API response and debug an SDK call — the course then adds Azure-specific architecture and service selection knowledge on top of that foundation, which is where the real exam preparation happens.
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Related Answers
What does the AI-102 exam cover?
The AI-102 exam tests the ability to build AI applications using Azure AI Foundry, develop conversational agents with Azure AI Language, implement document data extraction pipelines, deploy computer vision models, and configure speech recognition and synthesis workflows. The passing score is 700 out of 1000.
byGerhard ROTTER
What is the Microsoft AI-102 certification and what does it qualify you to do?
The AI-102 exam leads to the Microsoft Certified: Azure AI Engineer Associate credential, which validates the ability to design and implement AI solutions using Azure AI services. Certified engineers can build document intelligence pipelines, deploy conversational agents with multi-turn logic, configure computer vision models, and integrate speech and translation workflows via REST APIs and SDKs.
byRamzi AYNATI
What are the prerequisites for AI-102 training?
AI-102 requires practical experience with Python or C#, familiarity with REST APIs and SDKs, and a working understanding of cloud concepts and JSON. Without these foundations, participants will struggle with service integration exercises and lab completion.
byJean MUNYARUGERERO