To be eligible for AI-102 exam, candidates must have a fundamental understanding of Azure services, including Azure storage, compute, networking, and security. They should also have experience with data science concepts and machine learning models. The AI-102 exam is intended for professionals who work as AI engineers, data scientists, or developers who want to enhance their expertise in AI and Azure. Passing AI-102 exam validates their skills in designing and implementing end-to-end AI solutions that can leverage Azure AI services and tools.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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Microsoft AI-102 (Designing and Implementing a Microsoft Azure AI Solution) Certification Exam is designed for individuals who want to demonstrate their expertise in designing and implementing AI solutions using Microsoft Azure. Designing and Implementing a Microsoft Azure AI Solution certification exam covers a wide range of topics, including Azure Cognitive Services, Azure Bot Service, Azure Machine Learning, and Azure Databricks. AI-102 exam also tests your knowledge of how to design and implement AI solutions that meet specific business requirements.
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Microsoft AI-102 is an exam designed for professionals who want to demonstrate their expertise in designing and implementing solutions that leverage Microsoft Azure AI services. AI-102 exam is intended for professionals with a background working with Microsoft Azure and AI technologies. AI-102 examination evaluates their ability to design, implement, monitor, and optimize AI solutions.
Microsoft AI-102 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement Natural Language Processing Solutions | 20-25% | - Analyze text using Azure AI Language - Implement speech capabilities using Azure AI Speech - Create conversational AI solutions with Azure AI Bot Service - Build question answering solutions - Translate text and speech |
| Implement Decision Support Solutions | 10-15% | - Monitor and optimize decision support solutions - Design and implement decision automation - Integrate Azure AI services into applications |
| Implement Computer Vision Solutions | 15-20% | - Analyze images using Azure AI Vision - Implement Azure AI Face service - Process video and generate insights - Read and process documents using Azure AI Document Intelligence - Implement object detection and image classification |
| Implement Generative AI Solutions | 10-15% | - Integrate Azure OpenAI models into applications - Implement prompt engineering techniques - Apply responsible AI practices - Use Azure OpenAI Service for generative AI |
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement Azure AI Search solutions - Design document processing pipelines - Implement semantic and vector search - Create custom skills for Azure AI Search |
| Plan and Manage an Azure AI Solution | 15-20% | - Implement governance and compliance for AI solutions - Manage AI costs and resource allocation - Select appropriate Azure AI services and technologies - Plan and configure secure AI solutions |
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