The benefit of obtaining the AI-102: Designing and Implementing an Azure AI Solution Exam Certification
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Prep Options to Choose
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!
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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Microsoft AI-102 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Natural Language Processing Solutions | 20-25% | - Create conversational AI solutions with Azure AI Bot Service - Build question answering solutions - Translate text and speech - Analyze text using Azure AI Language - Implement speech capabilities using Azure AI Speech |
| Topic 2: Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement semantic and vector search - Implement Azure AI Search solutions - Create custom skills for Azure AI Search - Design document processing pipelines |
| Topic 3: Implement Computer Vision Solutions | 15-20% | - Analyze images using Azure AI Vision - Process video and generate insights - Implement object detection and image classification - Implement Azure AI Face service - Read and process documents using Azure AI Document Intelligence |
| Topic 4: Implement Decision Support Solutions | 10-15% | - Integrate Azure AI services into applications - Monitor and optimize decision support solutions - Design and implement decision automation |
| Topic 5: Plan and Manage an Azure AI Solution | 15-20% | - Plan and configure secure AI solutions - Select appropriate Azure AI services and technologies - Manage AI costs and resource allocation - Implement governance and compliance for AI solutions |
| Topic 6: Implement Generative AI Solutions | 10-15% | - Implement prompt engineering techniques - Apply responsible AI practices - Integrate Azure OpenAI models into applications - Use Azure OpenAI Service for generative AI |
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