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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 Azure AI-102 practice tests and AI-102 exam simulators, 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 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 Microsoft AI-102 exam preparation course includes a variety of resources, such as Azure AI-102 mock exams, to help you identify knowledge gaps and strengthen your skills. These mock tests align with the official AI-102 exam blueprint, enabling you to pass the certification exam on the first attempt. Begin your journey with Azure AI Engineer certification training 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%)

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
• Analyze images and videos
• Implement custom computer vision models using Azure AI Vision
• Analyze text and process speech with Azure AI Language and Azure AI Speech
• Translate languages and optimize generative AI solutions
• Use Azure OpenAI Service to generate content

Pre-requisites:

• Understanding of AI and machine learning (ML) concepts.
• Experience with Azure Cognitive Services and Azure Bot Service.
• Proficiency in programming languages such as Python or C#.
• Hands-on experience designing, implementing, and deploying AI solutions on Microsoft Azure.
  
  

Focal Points  of Course :

• Aspiring AI Engineers seeking to enhance their skills in Azure AI Engineer certification training.
• Professionals preparing for the AI-102 Exam with AI-102 online training and real-world scenario-based questions.
• Developers interested in integrating AI models using Azure Cognitive Services and Azure Machine Learning.
• IT Professionals looking to expand their expertise in Microsoft Azure AI certification courses.

Who this course is for:

• Aspiring AI Engineers seeking to enhance their skills in Azure AI Engineer certification training.
• Professionals preparing for the AI-102 Exam with AI-102 online training and real-world scenario-based questions.
• Developers interested in integrating AI models using Azure Cognitive Services and Azure Machine Learning.
• IT Professionals looking to expand their expertise in Microsoft Azure AI certification courses.