The Designing and Implementing a Microsoft Azure AI Solution certification exam covers various topics related to designing and implementing AI solutions using Azure services, including natural language processing, computer vision, speech recognition, and machine learning. AI-102 exam also covers topics related to data preparation, data wrangling, and data analysis, which are essential skills for designing and implementing AI solutions. Candidates are expected to have a good understanding of Azure services, including Azure Cognitive Services, Azure Machine Learning, and Azure Databricks.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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Microsoft AI-102 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Implement Natural Language Processing Solutions | - Analyze text using Azure AI Language - Translate and interpret language using Azure AI services - Implement question answering and conversational AI |
| Topic 2: Implement Generative AI Solutions | - Implement Azure OpenAI Service solutions - Integrate prompt engineering techniques - Build retrieval-augmented generation (RAG) solutions |
| Topic 3: Plan and Manage an Azure AI Solution | - Manage security, compliance, and responsible AI - Select appropriate Azure AI services - Plan solution requirements and architecture |
| Topic 4: Implement Computer Vision Solutions | - Implement custom vision models - Extract information using OCR and form recognition - Analyze images and videos using Azure AI Vision |
| Topic 5: Implement Knowledge Mining and Document Intelligence | - Implement document intelligence solutions - Build Azure AI Search solutions - Enrich and index data for search scenarios |








