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Introduction to AI-102: Designing and Implementing an Azure AI Solution Exam
Candidates for AI-102 Exam are seeking to prove fundamental knowledge and skills in Designing and Implementing an Azure AI Solution domain. Before taking this exam, aspirants ought to have a solid fundamental information of the concepts shared in preparation guide as well as basic understanding of Azure administration, Azure development, and DevOpss would give an added edge.
This exam validates the ability to use the various services within the Microsoft Azure Artificial Intelligence (AI) portfolio.
It is suggested that professionals accustomed to the ideas and also the technologies represented here by taking relevant training courses. Candidates are expected to have some hands-on experience on bot services that use Language Understanding , bots with Azure Application Insights, creating a GPU, FPGA, or CPU-based solution, implementing AI workflow.
After passing this exam, candidates get a certificate from Microsoft that helps them to demonstrate their proficiency to their clients and employers.
AI-102: Designing and Implementing an Azure AI Solution Certification Path
The Microsoft Designing and Implementing an Azure AI Solution Certification includes only one AI-100 Exam.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
AI-102: Designing and Implementing an Azure AI Solution Exam Certified Professional salary
The average salary of a AI-102: Designing and Implementing an Azure AI Solution Exam Certified Expert in
- Europe - 90,547 EURO
- United State - 120,000 USD
- India - 20,00,327 INR
- England - 90,532 POUND
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AI-102: Designing and Implementing an Azure AI Solution is a privileged achievement one could be graced with. But adverse to general notion certifying with Microsoft is not that challenging if the candidates have proper preparation material to pass the AI-102: Designing and Implementing an Azure AI Solution exam with good grades. Questions answers and clarifications which are designed in form of ExamsTorrent exam dumps make sure to cover entire course content. ExamsTorrent have a brilliant AI-102: Designing and Implementing an Azure AI Solution exam dumps with most recent and important questions and answers in PDF files. ExamsTorrent is sure about the exactness and legitimacy of AI-102: Designing and Implementing an Azure AI Solution exam dumps and in this manner. Candidates can easily pass the AI-102: Designing and Implementing an Azure AI Solution exam with genuine AI-102: Designing and Implementing an Azure AI Solution exam dumps and get MICROSOFT certification. These exam dumps are viewed as the best source to understand the AI-102: Designing and Implementing an Azure AI Solution well by simply pursuing examples questions and answers. If candidate completes practice the exam with certification AI-102 exam dumps along with self-assessment to get the proper idea on MICROSOFT accreditation and to ace the certification exam.
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Microsoft AI-102 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement Computer Vision Solutions | 15-20% | - Analyze images using Azure AI Vision - Implement Azure AI Face service - Read and process documents using Azure AI Document Intelligence - Process video and generate insights - Implement object detection and image classification |
| Implement Natural Language Processing Solutions | 20-25% | - 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 - Build question answering solutions |
| Plan and Manage an Azure AI Solution | 15-20% | - Select appropriate Azure AI services and technologies - Plan and configure secure AI solutions - Implement governance and compliance for AI solutions - Manage AI costs and resource allocation |
| Implement Decision Support Solutions | 10-15% | - Design and implement decision automation - Monitor and optimize decision support solutions - Integrate Azure AI services into applications |
| Implement Generative AI Solutions | 10-15% | - Implement prompt engineering techniques - Integrate Azure OpenAI models into applications - Use Azure OpenAI Service for generative AI - Apply responsible AI practices |
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement semantic and vector search - Design document processing pipelines - Create custom skills for Azure AI Search - Implement Azure AI Search solutions |
