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  • Certification Path
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  • AI
  • Cloud
  • Data

Microsoft Azure AI Engineer (AI-100)

14 Courses
27 Hours
Practice exam

Microsoft Azure offers a spread of services designed to work together to enable rapid development of high-performance AI solutions. This skill teaches how these Azure services work together to enable you to design, implement, operationalize, monitor, optimize, and secure your AI solutions on Microsoft Azure. This path is designed to address the Microsoft AI-100 certification exam.

Content in this path

Designing AI Solutions on Microsoft Azure

This section of the path introduces the relevant services of Microsoft Azure that apply to AI solution design, implementation, and management. In particular, specific attention is given to services that impact how machine learning, security, and Internet-of-Things are addressed in your Azure-enabled AI solution.

Developing AI Solutions on MIcrosoft Azure

With the design factors in place, this section of the skill addresses the implementation of the solution design. Specific attention is given to the building of machine learning models, chatbot user experiences, search solutions, and intelligent edge device networks.

Operationalizing AI Solutions on Microsoft Azure

With an AI solution implemented, this section of the skill turns to AI operations on Microsoft Azure. Deployment, management, and security of the solution are addressed, as well as monitoring and optimization.

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Certification path

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What You'll Learn
  • Ingest, transform, and prepare data for AI solutions
  • Design and implement end-to-end AI solutions on Microsoft Azure
  • Monitor and optimize AI solutions deployed on Microsoft Azure
  • Secure AI solutions on Microsoft Azure
Prerequisites
  • This path is intended for learners who are familiar with common AI workflows and concepts, but who do not have experience applying these concepts using Microsoft Azure services.
Related topics
  • Microsoft Azure
  • Machine Learning
  • Data Science
  • Data Operations
  • DevOps Principles
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