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Microsoft Azure AI Engineer Associate Certification

Microsoft Azure AI engineers build, manage, and deploy AI solutions that make the most of Azure Cognitive Services and Azure services. Their responsibilities include participating in all phases of AI solutions development—from requirements definition and design to development, deployment, integration, maintenance, performance tuning, and monitoring.

These professionals work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, infrastructure administrators, and other software developers to build complete end-to-end AI solutions.

Azure AI engineers have experience developing solutions that use languages such as Python or C# and should be able to use REST-based APIs and software development kits (SDKs) to build secure image processing, video processing, natural language processing (NLP), knowledge mining, and conversational AI solutions on Azure. They should be familiar with all methods of implementing AI solutions. Plus, they understand the components that make up the Azure AI portfolio and the available data storage options. Azure AI engineers also need to understand and be able to apply responsible AI principles.


  • Analyze solution requirements
  • Design solutions
  • Implement and monitor AI solutions



Please contact us for more details about this or any of the Microsoft certifications or training courses.

Required Exams

Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution

Recommended Courses

How to Become a Microsoft Certified Azure AI Engineer Associate

Achieve the Azure AI Engineer Associate Certification by taking the training course


If you have this certification and it will expire within six months, you are eligible to renew. Show that you have kept current with the latest Azure AI updates by passing the renewal assessment. You can also prepare to renew with the curated collection of learning modules.