PDF Version DemoHow to Register For Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution?
Skills measured
- Plan and manage an Azure Cognitive Services solution (15-20%)
- Implement natural language processing solutions (20-25%)
- Implement conversational AI solutions (15-20%)
- Implement knowledge mining solutions (15-20%)
- Implement Computer Vision solutions (20-25%)
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How to Prepare For AI-102: Designing and Implementing an Azure AI Solution Exam
Preparation Guide for AI-102: Designing and Implementing an Azure AI Solution Exam
Introduction
Microsoft has created a track for Azure professionals analyze the requirements for AI solutions, recommend appropriate tools and technologies, and implements solutions that meet scalability and performance requirements, to get certified this platform. solution architects translate the vision and work with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end solutions. The assessment is based on a rigorous exam using industry standard methodology to determine whether a candidate meets Microsoft's proficiency standards.
This certification been actually designed for aspirants design and implement AI apps and agents that use Microsoft Azure Cognitive Services.
For this exam candidate having proficiency in using cognitive service APIs to meet business requirements, appropriate AI models and services, automation requirements, data privacy and protection , bot state data , cognitive service output would be an added advantage.
Certification is evidence of your skills, expertise in those areas in which you like to work. If candidate wants to work as AI solution architect and prove his knowledge, certification offered by Microsoft. This AI-102 Exam Certification helps a candidate to validates his skills in Azure platform.
In this guide, we will cover the AI-102: Designing and Implementing an Azure AI Solution Certification exam, AI-102: Designing and Implementing an Azure AI Solution Certified professional salary and all aspects of the AI-102: Designing and Implementing an Azure AI Solution Certification.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
Microsoft AI-102 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement semantic and vector search - Implement Azure AI Search solutions - Design document processing pipelines - Create custom skills for Azure AI Search |
| Implement Natural Language Processing Solutions | 20-25% | - Translate text and speech - Build question answering solutions - Create conversational AI solutions with Azure AI Bot Service - Implement speech capabilities using Azure AI Speech - Analyze text using Azure AI Language |
| Implement Computer Vision Solutions | 15-20% | - Process video and generate insights - Implement Azure AI Face service - Analyze images using Azure AI Vision - Implement object detection and image classification - Read and process documents using Azure AI Document Intelligence |
| Implement Generative AI Solutions | 10-15% | - Apply responsible AI practices - Integrate Azure OpenAI models into applications - Implement prompt engineering techniques - Use Azure OpenAI Service for generative AI |
| Plan and Manage an Azure AI Solution | 15-20% | - Select appropriate Azure AI services and technologies - Implement governance and compliance for AI solutions - Plan and configure secure AI solutions - Manage AI costs and resource allocation |
| Implement Decision Support Solutions | 10-15% | - Integrate Azure AI services into applications - Design and implement decision automation - Monitor and optimize decision support solutions |
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