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Updated: Aug 02, 2026

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Microsoft AI-102 Exam is an essential certification for professionals who want to demonstrate their expertise in designing and implementing AI solutions in Azure. It is a challenging exam that requires candidates to have a deep understanding of AI concepts and practical experience in implementing AI solutions in Azure. By passing AI-102 exam, candidates can demonstrate their proficiency in designing and implementing AI solutions in Azure and differentiate themselves in the highly competitive field of AI.

Microsoft AI-102 certification exam is an excellent opportunity for professionals who want to showcase their skills and knowledge in designing and implementing AI solutions using Microsoft Azure services. AI-102 exam covers various topics related to AI and Azure services, and passing the exam validates the candidate's ability to solve real-world problems. Designing and Implementing a Microsoft Azure AI Solution certification also provides a competitive edge to professionals and helps them advance their careers in the field of Artificial Intelligence.

The Microsoft AI-102 exam covers various topics related to AI solution development, including designing and implementing AI workflows, creating natural language processing solutions, leveraging computer vision techniques, and implementing machine learning models. It also tests the candidate's ability to work with Azure services such as Azure Cognitive Services, Azure Machine Learning, and Azure Databricks.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102

The AI-102 certification exam is designed for individuals who are responsible for designing and implementing AI solutions using Azure services. AI-102 exam covers a wide range of topics, including natural language processing, computer vision, machine learning, and data storage and processing. It also covers the tools and technologies used to develop and deploy AI solutions.

Microsoft AI-102 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Designing and Implementing a Microsoft Azure AI Solution
Exam Number:AI-102
Exam Duration:100-120
Exam Price:USD 165 (varies by country/region)
Certificate Validity Period:1 year (renewable annually via Microsoft certification renewal assessment)
Available Languages:English, Japanese, Simplified Chinese, Korean, German, French, Spanish (Latin America), Portuguese (Brazil)
Exam Format:Multiple choice, Multiple response, Case studies, Drag and drop, Build/review solution scenarios
Related Certifications:Microsoft Certified: Azure AI Fundamentals (AI-900)
Passing Score:700 (out of 1000)
Real Exam Qty:40-60 (approximate range)
Recommended Training:Microsoft Learn AI-102 Learning Path
Azure AI Engineer Associate Study Resources
Exam Registration:Microsoft Certification Exam Registration (Pearson VUE)
Microsoft Learn AI-102 Certification Page
Sample Questions:Microsoft AI-102 Sample Questions
Exam Way:Online proctored or onsite test center (Pearson VUE)
Pre Condition:No formal prerequisites required, but familiarity with Azure fundamentals and AI/ML concepts is recommended
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-engineer/

Microsoft AI-102 Exam Syllabus Topics:

SectionObjectives
Implement Natural Language Processing Solutions- Translate and interpret language using Azure AI services
- Implement question answering and conversational AI
- Analyze text using Azure AI Language
Implement Computer Vision Solutions- Analyze images and videos using Azure AI Vision
- Implement custom vision models
- Extract information using OCR and form recognition
Implement Generative AI Solutions- Integrate prompt engineering techniques
- Build retrieval-augmented generation (RAG) solutions
- Implement Azure OpenAI Service solutions
Implement Knowledge Mining and Document Intelligence- Implement document intelligence solutions
- Enrich and index data for search scenarios
- Build Azure AI Search solutions
Plan and Manage an Azure AI Solution- Manage security, compliance, and responsible AI
- Plan solution requirements and architecture
- Select appropriate Azure AI services

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