Microsoft
Azure AI & Machine Learning
Cloud & AI Platforms
AI certifications cover artificial intelligence workloads, machine learning, computer vision, natural language processing, and generative AI on Azure.
Select an exam below to view details and start a simulation.
AI-102
Associate
Microsoft Certified: Azure AI Engineer Associate
Azure · RoleAI Engineer
Design and implement an Azure AI solution using Azure AI services, Azure AI Search, and Azure Open AI.
Skills measured
- Plan and manage an Azure AI solution (23%)
- Implement generative AI solutions (18%)
- Implement an agentic solution (7%)
- Implement computer vision solutions (13%)
- Implement natural language processing solutions (18%)
- Implement knowledge mining and information extraction solutions (18%)
⏱ 90 min
🎯 700/1000
AI-103
Associate
Microsoft Certified: Azure AI Apps and Agents Developer Associate
Azure · RoleAI EngineerDeveloper
This certification validates your expertise in designing, developing, and deploying advanced Azure AI solutions using Python and Microsoft Foundry.
Skills measured
- Plan and manage an Azure AI solution (28%)
- Implement generative AI and agentic solutions (33%)
- Implement computer vision solutions (12%)
- Implement text analysis solutions (12%)
- Implement information extraction solutions (12%)
⏱ 90 min
🎯 700/1000
AI-200
Associate
Microsoft Certified: Azure AI Cloud Developer Associate
Azure
This certification validates your ability to design, build, and implement AI solutions on Azure, with a focus on back‑end services, scalable architectures, and the full development lifecycle.
Skills measured
- Develop containerized solutions on Azure (19%)
- Develop AI solutions by using Azure data management services (23%)
- Connect to and consume Azure services (19%)
- Secure, monitor, troubleshoot Azure solutions (19%)
- Secure, monitor, and troubleshoot Azure solutions (19%)
⏱ 90 min
🎯 700/1000
AI-300
Associate
Microsoft Certified: Azure AI Engineer Associate
Azure · RoleAI Engineer
Design and implement an Azure AI solution using Azure AI services, Azure AI Search, and Azure Open AI.
Skills measured
- Design and implement an MLOps infrastructure (18%)
- Implement machine learning model lifecycle and operations (29%)
- Design and implement a GenAIOps infrastructure (24%)
- Implement generative AI quality assurance and observability (13%)
- Optimize generative AI systems and model performance (13%)
⏱ 90 min
🎯 700/1000
AI-900
Fundamentals
Microsoft Certified: Azure AI Fundamentals
Azure · Job role:AI Engineer
As a candidate for this Microsoft Certification, you’re at the beginning of your career in AI solution development.
Skills measured
- Describe Artificial Intelligence workloads and considerations (15%)
- Describe fundamental principles of machine learning on Azure (15%)
- Describe features of computer vision workloads on Azure (15%)
- Azure (15%)
- Describe features of Natural Language Processing workloads on Azure
- Describe features of generative AI workloads on Azure (20%)
- Describe features of Natural Language Processing (NLP) workloads on Azure (15%)
⏱ 60 min
🎯 700/1000
AI-901
Fundamentals
Microsoft Certified: Azure AI Fundamentals
Azure · Job role:AI Engineer
As a candidate for this Microsoft Certification, you’re at the beginning of your career in AI solution development.
Skills measured
- Identify AI concepts and capabilities (42%)
- Identify AI concepts and responsibilities
- Implement AI solutions by using Microsoft Foundry (57%)
⏱ 90 min
🎯 700/1000