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Introduction to AI in Azure (AI-901)

Course 8580 Advantage Plan Course

  • Duration: 1 day
  • Exam Voucher: Yes
  • Language: English
  • Level: Foundation

This course introduces core concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions.

Introduction to AI in Azure Delivery Methods

  • In-Person

  • Online

  • Upskill your whole team by bringing Private Team Training to your facility.

Azure AI Fundamentals Training Information

  • In this course, you will:

    • Gain a solid foundation in AI concepts including machine learning, NLP, computer vision, and generative AI.
    • Learn hands-on with Azure AI Foundry to build and test intelligent applications.
    • Understand real-world applications of AI such as text analysis, speech recognition, image analysis, and information extraction.
    • Explore responsible AI practices to design solutions that are ethical and trustworthy.
    • Prepare for more advanced AI projects by establishing a strong base in both theory and Azure tools.

  • Prerequisites:

    Prerequisite certification is not required before taking this course. However, successful Azure AI Fundamental students start with essential knowledge of computing and internet concepts and an interest in using Azure AI services.

    Before taking this course, students should have:

    • Experience using computers and the internet.
    • Interest in use cases for AI applications and machine learning models.
    • A willingness to learn through hands-on exploration.

  • Exam Information:

    This course can help you prepare for the following Microsoft role-based certification exam — Exam AI-901: Microsoft Certified: Azure AI Fundamentals.

Introduction to AI in Azure Training Outline

Chapter 1: Introduction to AI Concepts

  • Explore core AI topics including generative AI, computer vision, speech, natural language processing, and responsible AI.

Chapter 2: Introduction to Machine Learning Concepts

  • Understand machine learning types, regression, classification, clustering, deep learning, and transformers.

Chapter 3: Get Started with Machine Learning in Azure

  • Learn to define problems, prepare data, train models, and use Azure Machine Learning Studio.

Chapter 4: Introduction to Generative AI Concepts

  • Discover how language models and transformers generate original content and apply responsible practices.

Chapter 5: Get Started with Generative AI in Azure

  • Use Azure AI Foundry’s tools, model catalog, and playgrounds to build generative AI apps.

Chapter 6: Introduction to Natural Language Processing Concepts

  • Learn the fundamentals of NLP, from statistical techniques to semantic models.

Chapter 7: Get Started with Natural Language Processing in Azure

  • Apply Azure AI Language services for sentiment analysis, conversational AI, and translation.

Chapter 8: Get Started with Speech in Azure

  • Recognize and synthesize speech with Azure AI Speech services.

Chapter 9: Introduction to Computer Vision Concepts

  • Explore image processing, modern vision models, and machine learning for vision.

Chapter 10: Get Started with Computer Vision in Azure

  • Use Azure AI Vision services to analyze images and detect faces.

Chapter 11: Introduction to AI-Powered Information Extraction Concepts

  • Understand how to extract data from images, forms, and multimodal sources.

Chapter 12: Get Started with AI-Powered Information Extraction in Azure

  • Use Azure AI services to extract insights, build knowledge mining solutions, and analyze documents.
Select Commercial or Government Pricing

$1,075
  • 1-day instructor-led training course
  • Hands-on learning labs included

  • Microsoft Official Courseware

  • After-course coaching available

  • MOC exam voucher included in course tuition
Would you like to take this course as a team?
  • Guaranteed-to-Run - You can rest assured this class will not be canceled. Delivery format is subject to change – please call Customer Service if you have any questions.
    Oct. 26 9:00 a.m. - 4:30 p.m. EDT
    AnyWare
  • Dec. 7 9:00 a.m. - 4:30 p.m. EST
    AnyWare
  • Feb. 22 9:00 a.m. - 4:30 p.m. EST
    AnyWare
  • Mar. 22 9:00 a.m. - 4:30 p.m. EDT
    AnyWare
  • Apr. 12 10:00 a.m. - 5:30 p.m. EDT
    AnyWare
  • May 11 9:00 a.m. - 4:30 p.m. EDT
    AnyWare
  • Jul. 6 9:00 a.m. - 4:30 p.m. EDT
    AnyWare
  • Jul. 26 9:00 a.m. - 4:30 p.m. EDT
    AnyWare
  • Aug. 24 10:00 a.m. - 5:30 p.m. EDT
    AnyWare
  • Sep. 20 9:00 a.m. - 4:30 p.m. EDT
    AnyWare

Scroll to view additional course dates

$946
  • 1-day instructor-led training course
  • Hands-on learning labs included

  • Microsoft Official Courseware

  • After-course coaching available

  • MOC exam voucher included in course tuition
Would you like to take this course as a team?
  • Guaranteed-to-Run - You can rest assured this class will not be canceled. Delivery format is subject to change – please call Customer Service if you have any questions.
    Oct. 26 9:00 a.m. - 4:30 p.m. EDT
    AnyWare
  • Dec. 7 9:00 a.m. - 4:30 p.m. EST
    AnyWare
  • Feb. 22 9:00 a.m. - 4:30 p.m. EST
    AnyWare
  • Mar. 22 9:00 a.m. - 4:30 p.m. EDT
    AnyWare
  • Apr. 12 10:00 a.m. - 5:30 p.m. EDT
    AnyWare
  • May 11 9:00 a.m. - 4:30 p.m. EDT
    AnyWare
  • Jul. 6 9:00 a.m. - 4:30 p.m. EDT
    AnyWare
  • Jul. 26 9:00 a.m. - 4:30 p.m. EDT
    AnyWare
  • Aug. 24 10:00 a.m. - 5:30 p.m. EDT
    AnyWare
  • Sep. 20 9:00 a.m. - 4:30 p.m. EDT
    AnyWare

Scroll to view additional course dates

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Introduction to AI in Azure Training FAQs

This course is designed for beginners, students, developers, solution architects, and aspiring AI engineers, who want to learn how AI works and how to apply it with Azure services.

No. This is an introductory-level course. You only need basic familiarity with Azure and the Azure portal.

Some Chapters include hands-on exercises, but they are designed to be accessible even for learners with minimal programming experience.

You’ll be able to identify AI scenarios, use Azure services to build simple AI-powered applications, and understand which Azure tools to apply to different problems.

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