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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.

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How much AI-102: Designing and Implementing an Azure AI Solution Exam Cost

The price of the Microsoft Mobility and Devices Fundamentals exam is $165 USD, for more information related to exam price please visit to Microsoft Training website as prices of Microsoft exams fees get varied country wise.

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

Microsoft AI-102 Exam Syllabus Topics:

SectionWeightObjectives
Implement natural language processing solutions15-20%- Customize and deploy NLP models
- Implement translation and summarization
- Perform text analysis, sentiment detection, and language detection
- Build conversational AI and chatbots
Implement knowledge mining and information extraction solutions15-20%- Implement intelligent search and retrieval
- Build knowledge bases and search indexes
- Ingest and process structured/unstructured data
- Extract entities, relationships, and key phrases
Implement computer vision solutions10-15%- Extract text and handwriting from images
- Analyze images and detect objects/features
- Integrate vision capabilities into applications
- Process and index video content
- Build and deploy custom vision models
Implement generative AI solutions15-20%- Orchestrate multiple models and containers
- Implement model monitoring and feedback
- Deploy and manage generative models
- Apply prompt engineering and fine-tuning
- Integrate Azure OpenAI and other generative models
Plan and manage an Azure AI solution20-25%- Select suitable AI models
- Create and configure Azure AI resources
- Plan solutions aligned with responsible AI principles
- Monitor, optimize, and secure AI solutions
- Select appropriate Microsoft Foundry Services
- Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining
Implement an agentic solution5-10%- Understand agent use cases and types
- Test, deploy, and optimize agents
- Build agents with Microsoft Foundry Agent Service
- Develop multi-agent workflows and orchestration

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