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Last Updated: Aug 26, 2026
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The average salary of a AI-102: Designing and Implementing an Azure AI Solution Exam Certified Expert in
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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The preparation process for the exam is a vital step on your way of passing the test, that’s why you need to find the most actual and reliable resources. Microsoft offers two options for you to choose from online free training or instructor-led, which is a paid one. For example, the free training represents a collection of learning paths each of which contains the different number of modules, from one to five. Thus, you can choose which ones to follow: Prepare for AI engineering (1 module), Process and Translate Speech with Azure Cognitive Speech Services (2 modules), Create computer vision solutions with Azure Cognitive Services (3 modules), to name a few. The paid course is known to be Course AI-102T00: Designing and Implementing a Microsoft Azure AI Solution and lasts for 4 days. It is intended for software developers interested in developing skills to build AI infused apps that use Azure Cognitive Search and Services, and Microsoft Bot Framework.
In addition, you can check the Amazon website to find the books on the topics included in the exam to ace it from the first attempt. Only after the successful passing the AI-102 exam you will earn the Microsoft Certified: Azure AI Engineer Associate certification. So, good luck!
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The AI-102 Exam certification is an internationally-recognized certification which help to have validation for Azure AI Solution Architects who have ability to accomplish the following technical tasks: analyze solution requirements; design solutions; integrate AI models into solutions; and deploy and manage solutions.
| Section | Weight | Objectives |
|---|---|---|
| Implement Decision Support Solutions | 10-15% | - Integrate Azure AI services into applications - Design and implement decision automation - Monitor and optimize decision support solutions |
| Implement Generative AI Solutions | 10-15% | - Integrate Azure OpenAI models into applications - Use Azure OpenAI Service for generative AI - Apply responsible AI practices - Implement prompt engineering techniques |
| Plan and Manage an Azure AI Solution | 15-20% | - Select appropriate Azure AI services and technologies - Implement governance and compliance for AI solutions - Plan and configure secure AI solutions - Manage AI costs and resource allocation |
| Implement Natural Language Processing Solutions | 20-25% | - Build question answering solutions - Implement speech capabilities using Azure AI Speech - Translate text and speech - Create conversational AI solutions with Azure AI Bot Service - Analyze text using Azure AI Language |
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement Azure AI Search solutions - Implement semantic and vector search - Design document processing pipelines - Create custom skills for Azure AI Search |
| Implement Computer Vision Solutions | 15-20% | - Implement object detection and image classification - Read and process documents using Azure AI Document Intelligence - Process video and generate insights - Analyze images using Azure AI Vision - Implement Azure AI Face service |
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