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-103
Associate
Microsoft Certified: Azure AI Apps and Agents Developer Associate
Azure Β· 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%)
β± 90 min
π― 700/1000
π 60 questions
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 backβend services, scalable architectures, and the full development lifecycle.
Skills measured
- Develop containerized solutions on Azure (18%)
- Develop AI solutions by using Azure data management services (26%)
- Connect to and consume Azure services (18%)
- Secure, monitor, troubleshoot Azure solutions (18%)
- Secure, monitor, and troubleshoot Azure solutions (18%)
β± 90 min
π― 700/1000
π 51 questions
AI-300
Associate
Microsoft Certified: Azure AI Engineer Associate
Azure Β· 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%)
β± 90 min
π― 700/1000
π 50 questions
AI-500
Associate
Microsoft Certified: AI-500
Azure
Skills measured
- Architect multi-agent solutions (18%)
- Develop multi-agent solutions in Azure (34%)
- Evaluate, optimize, and monitor multi-agent solutions (23%)
- Secure, govern, and deploy multi-agent solutions (23%)
β± 90 min
π― 700/1000
π 51 questions
AI-900
Fundamentals
Microsoft Certified: Azure AI Fundamentals
Azure Β· Job role:AI Engineer
As a candidate for this Microsoft Certification, youβre 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 generative AI workloads on Azure (20%)
- Describe features of Natural Language Processing (NLP) workloads on Azure (15%)
β± 60 min
π― 700/1000
π 52 questions
AI-901
Fundamentals
Microsoft Certified: Azure AI Fundamentals
Azure Β· Job role:AI Engineer
As a candidate for this Microsoft Certification, youβre 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%)
β± 90 min
π― 700/1000
π 52 questions