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Who should take the AI-102: Designing and Implementing an Azure AI Solution Exam

The AI-102 Exam certification is an internationally-recognized certification which help to have validation for Azure AI Solution Architects who have ability to accomplish the following technical tasks: analyze solution requirements; design solutions; integrate AI models into solutions; and deploy and manage solutions.

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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Skills measured

Implement knowledge mining solutions (15-20%)
Implement Computer Vision solutions (20-25%)
Plan and manage an Azure Cognitive Services solution (15-20%)
Implement natural language processing solutions (20-25%)
Implement conversational AI solutions (15-20%)

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

For more info read reference:

microsoft learning site AI-102 Skills measured Publish a Machine Learning Experiment with Microsoft Azure Machine Learning Studio Process and translate speech with Azure Cognitive Speech Services

Microsoft AI-102 Exam Syllabus Topics:

Section	Objectives
Topic 1: Plan and Manage an Azure AI Solution	- Plan solution requirements and architecture - Select appropriate Azure AI services - Manage security, compliance, and responsible AI
Topic 2: Implement Natural Language Processing Solutions	- Analyze text using Azure AI Language - Implement question answering and conversational AI - Translate and interpret language using Azure AI services
Topic 3: Implement Computer Vision Solutions	- Implement custom vision models - Extract information using OCR and form recognition - Analyze images and videos using Azure AI Vision
Topic 4: Implement Knowledge Mining and Document Intelligence	- Build Azure AI Search solutions - Enrich and index data for search scenarios - Implement document intelligence solutions
Topic 5: Implement Generative AI Solutions	- Build retrieval-augmented generation (RAG) solutions - Integrate prompt engineering techniques - Implement Azure OpenAI Service solutions