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Microsoft AI-102 Practice Test
Rating: 4.5 out of 5(1 rating)
402 students

Microsoft AI-102 Practice Test

Are you ready to explore your self on Microsoft AI-102!!
Created byMohamed Ouabach
Last updated 1/2025
English

What you'll learn

  • Designing AI Solutions: Students will explore how to design and architect AI solutions to address a range of business challenges, including applications in comp
  • Implementing AI Solutions: Students will gain hands-on experience in implementing AI solutions using Azure AI services and tools.
  • Responsible AI: Students will delve into the ethical considerations, risks, and best practices for creating responsible and fair AI systems.
  • Machine Learning Operations (MLOps): Students will learn about MLOps, focusing on the management, deployment, and operationalization of machine learning models.

Included in This Course

80 questions

  • Practice Test #A#40 questions
  • Practice Test #B#40 questions

Description

The Microsoft AI-102 course is an advanced-level program designed to help professionals enhance their expertise in Artificial Intelligence (AI) and machine learning. Below are the key topics covered in the course:

  • Designing AI Solutions: Learn to design and architect AI solutions to address a wide range of business challenges, including computer vision, natural language processing, and predictive analytics.

  • Implementing AI Solutions: Gain hands-on experience with implementing AI solutions using Azure AI services and tools such as Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service.

  • Optimizing and Monitoring AI Solutions: Understand how to optimize and monitor AI solutions to ensure high performance and alignment with business requirements.

  • Responsible AI: Explore the ethical considerations and potential risks associated with AI, and learn how to design solutions that are fair and responsible.

  • Machine Learning Operations (MLOps): Learn the principles of MLOps, focusing on managing, deploying, and scaling machine learning models in production environments.

  • Azure AI Platform: Dive into the Azure AI platform and explore its diverse range of services and tools for building advanced AI solutions, including Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service.

Course Audience

The AI-102 course is ideal for AI engineers, data scientists, and machine learning engineers who want to expand their skills in designing and implementing AI solutions with Azure. It is an advanced-level course, requiring a solid foundation in AI and machine learning concepts.

Prerequisites

Candidates are recommended to have completed the Microsoft AI-900 course or possess equivalent knowledge before enrolling. A strong understanding of AI and machine learning practices is essential for success in this course.

By completing the AI-102 course, professionals will gain the skills needed to design and implement sophisticated AI solutions using Azure AI services and tools.

Who this course is for:

  • AI Engineers: Professionals experienced in developing AI models and systems who are looking to advance their skills in designing and implementing AI solutions using Azure AI services and tools.
  • Data Scientists: Experts in data analysis, machine learning, and statistics who seek to expand their expertise in designing and deploying AI solutions with Azure AI services and tools.
  • Machine Learning Engineers: Specialists in developing and deploying machine learning models and systems who aim to enhance their capabilities in designing and implementing AI solutions through Azure AI services and tools.
  • Developers: Software development professionals interested in learning how to design and implement AI solutions using Azure AI services and tools.

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