• Microsoft Azure
  • Cloud Architect
  • AI Engineer

Microsoft Azure AI Fundamentals (AI-900T00)

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Learning Track icon
Learning Track

Cloud Architect, AI Engineer

Delivery methods icon
Delivery methods

On-Site, Virtual

Duration icon
Duration

1 day

This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.

Course objectives

  • Understand foundational AI concepts and responsible AI practices.
  • Describe different types of machine learning and their applications.
  • Explore generative AI and prompt engineering techniques.
  • Learn to use Azure AI services for NLP, speech, and computer vision.
  • Analyze text, speech, and image data using Azure AI Foundry.
  • Understand information extraction and AI-powered search solutions.

Audience

The Introduction to AI in Azure course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.

Course outline

  • Fundamental AI Concepts
  • Fundamentals of machine learning
  • Fundamentals of Azure AI services
  • Fundamentals of Computer Vision
  • Fundamentals of Facial Recognition
  • Fundamentals of optical character recognition
  • Fundamentals of Text Analysis with the Language Service
  • Fundamentals of question answering with the Language Service
  • Fundamentals of conversational language understanding
  • Fundamentals of Azure AI Speech
  • Fundamentals of language translation
  • Fundamentals of Azure AI Document Intelligence
  • Fundamentals of Knowledge Mining and Azure AI Search
  • Fundamentals of Generative AI
  • Plan and prepare to develop AI solutions on Azure Responsible generative AI
  • Fundamentals of AI agents on Azure

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