AI-102 Designing Implement Microsoft Azure AI Solution 2026

Exam AI-102 Designing and Implementing a Microsoft Azure AI Solution Tests 2026 (Hotspot , Drag drop with full explanations details included )

AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. The course will use C# or Python as the programming language.

As a Microsoft Azure AI engineer, you build, manage, and deploy AI solutions that leverage Azure AI.

Your responsibilities include participating in all phases of AI solutions development, including:

• Requirements definition and design

• Development

• Deployment

• Integration

• Maintenance

• Performance tuning

• Monitoring

You work with solution architects to translate their vision. You also work with data scientists, data engineers, Internet of Things (IoT) specialists, infrastructure administrators, and other software developers to:

• Build complete and secure end-to-end AI solutions.

• Integrate AI capabilities in other applications and solutions.

As an Azure AI engineer, you have experience developing solutions that use languages such as:

• Python

• C#

You should be able to use Representational State Transfer (REST) APIs and SDKs to build secure image processing, video processing, natural language processing, knowledge mining, and generative AI solutions on Azure. You should:

• Understand the components that make up the Azure AI portfolio and the available data storage options.

• Be able to apply responsible AI principles.

Skills measured

• Plan and manage an Azure AI solution

• Implement generative AI solutions

• Implement an agentic solution

• Implement computer vision solutions

• Implement natural language processing solutions

• Implement knowledge mining and information extraction solutions