Course Details

    1. AI-102: Microsoft Azure AI Engineer Associate : Free Preview

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    1. AI-102: Microsoft Azure AI Engineer Associate Practice Test - 1

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Practice Sets | AI 102: Microsoft Azure AI Engineer Associate Exam 2024

  • $9.99
  • 6 Practice Sets
  • Last Update : September 2024
  • 240+ Questions with 100% Syllabus

Azure AI 102 Certification Course Overview

Azure AI 102 Certification Key Features

This comprehensive learning path is designed to help you prepare for the AI-102: Designing and Implementing an Azure AI Solution certification exam. Featuring full-length mock tests with a variety of questions, this course ensures you're well-prepared to face the real exam with confidence.

As part of Microsoft’s role-based certification program, candidates who pass the AI-102 exam will earn the certificate Microsoft Certified: Azure AI Engineer Associate certification. This exam tests your ability to design, implement, and manage AI solutions using Microsoft Azure, including Azure Cognitive Services, Azure Machine Learning, and other critical AI technologies.

Our practice exams are designed to align with the official AI-102 exam blueprint, providing detailed assessments of your knowledge and skills. These mock tests will enable you to test your readiness, identify knowledge gaps, and build the confidence needed to pass the AI-102 certification exam on the first attempt. Kickstart your journey toward becoming a certified Azure AI Engineer today!


AI-102 Exam Objectives

  • Plan and manage an Azure AI solution (15–20%)
  • Implement content moderation solutions (10–15%)
  • Implement computer vision solutions (15–20%)
  • Implement natural language processing solutions (30–35%)
  • Implement knowledge mining and document intelligence solutions (10–15%)
  • Implement generative AI solutions (10–15%)


Azure AI Engineer Associate Exam Summary:

Exam Name: Designing and Implementing a Microsoft Azure AI Solution

Exam Code: AI-102

Cost: $165 USD*

Number of Questions: 45–60

Duration: 120 Minutes

Passing Score Required: 700/1000


Important Topics covered in the Questionaire:

  • Select the appropriate Azure AI service
  • Plan, create and deploy an Azure AI service
  • Manage, monitor, and secure an Azure AI service
  • Create solutions for content delivery
  • Analyze images
  • Implement custom computer vision models by using Azure AI Vision
  • Analyze videos
  • Analyze text by using Azure AI Language
  • Process speech by using Azure AI Speech
  • Translate language
  • Implement and manage a language understanding model by using Azure AI Language
  • Create a custom question answering solution by using Azure AI Language
  • Implement an Azure AI Search solution
  • Implement an Azure AI Document Intelligence solution
  • Use Azure OpenAI Service to generate content
  • Optimize generative AI


Pre-requisites:

  •  A fundamental understanding of artificial intelligence (AI) and machine learning (ML) concepts.
  •  Experience in using Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service.
  •  Proficiency in programming languages such as Python or C# for developing AI solutions.
  •  Familiarity with REST APIs and data processing techniques.
  •  Hands-on experience in designing, implementing, and deploying AI solutions on Microsoft Azure.


Focal Points  of Course :

  • The course is completely up-to-date with the latest changes released by Microsoft for AI 102
  • The course covers 100% of the exam syllabus
  • Q&A Responses within 24 hours
  • Instructor expertise in Microsoft Certifications
  • Updated Microsoft reference links
  • Unlimited Access for 2 Years


Who this course is for:

  • Aspiring AI Engineers looking to enhance their knowledge and skills in designing and implementing AI solutions on Microsoft Azure.
  • Professionals Preparing for the AI-102 Exam who need comprehensive practice and real-world scenario-based questions to pass the certification.
  • Developers interested in integrating AI models and services into their applications using Azure Cognitive Services and Azure Machine Learning.
  • IT Professionals seeking to expand their expertise in AI, machine learning, and cloud-based AI technologies on the Azure platform.