microsoft partner logo color
8420  Reviews star_rate star_rate star_rate star_rate star_half

Introduction to AI in Azure

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...

Read More
$675 USD GSA  $245.21
Duration 1 day
Course Code AI-900T00
Available Formats Classroom, Virtual

Overview

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.

Audience Profile

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.

Skills Gained

After completing this course, you will be able to:

  • Describe Artificial Intelligence workloads and considerations
  • Describe fundamental principles of machine learning on Azure
  • Describe features of computer vision workloads on Azure
  • Describe features of Natural Language Processing (NLP) workloads on Azure
  • Describe features of conversational AI workloads on Azure

Prerequisites

Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services.
Specifically:

  • 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.

Course Details

Outline

  • Introduction to AI concepts
    • Introduction to AI
    • Generative AI
    • Computer vision
    • Speech
    • Natural language processing
    • Extract data and insights
    • Responsible AI
    • Module assessment
  • Introduction to machine learning concepts
    • What is machine learning?
    • Types of machine learning
    • Regression
    • Binary classification
    • Multiclass classification
    • Clustering
    • Deep learning
    • Transformers
    • Module assessment
  • Get started with machine learning in Azure
    • Define the problem
    • Get and prepare data
    • Train the model
    • Use Azure Machine Learning studio
    • Integrate a model
    • Exercise - Explore Automated Machine Learning in Azure Machine Learning
    • Module assessment
  • Introduction to generative AI concepts
    • What is generative AI?
    • How do language models work?
    • Understand how transformers advance language models
    • Understand differences in language models
    • Improve prompt results
    • Create responsible generative AI solutions
    • Module assessment
  • Get started with generative AI in Azure
    • Understand generative AI applications
    • Understand tools to develop generative AI
    • Understand Azure AI Foundry's model catalog
    • Understand Azure AI Foundry capabilities
    • Understand observability
    • Exercise - Explore generative AI in Azure AI Foundry portal
    • Module assessment
  • Introduction to natural language processing concepts
    • Understand how language is processed
    • Understand statistical techniques for NLP
    • Understand semantic language models
    • Module assessment
  • Get started with natural language processing in Azure
    • Understand natural language processing on Azure
    • Understand Azure AI Language's text analysis capabilities
    • Azure AI Language's conversational AI capabilities
    • Azure AI Translator capabilities
    • Get started in Azure AI Foundry
    • Exercise - Analyze text in Azure AI Foundry portal
    • Module assessment
  • Get started with speech in Azure
    • Understand speech recognition and synthesis
    • Get started with speech on Azure
    • Use Azure AI Speech
    • Exercise - Explore Speech in Azure AI Foundry portal
    • Module assessment
  • Introduction to computer vision concepts
    • Overview
    • Understand image processing
    • Machine learning for computer vision
    • Understand modern vision models
    • Module assessment
  • Get started with computer vision in Azure
    • Understand Azure AI services for computer vision
    • Understand Azure AI Vision Image Analysis capabilities
    • Understand Azure AI Vision's Face service capabilities
    • Get started in Azure AI Foundry portal
    • Exercise - Analyze images in Azure AI Foundry portal
    • Module assessment
  • Introduction to AI-powered information extraction concepts
    • Overview
    • Understand the extraction of data from images
    • Understand the extraction of data from forms
    • Understand multimodal data extraction
    • Understand data extraction for knowledge mining
    • Module assessment
  • Get started with AI-powered information extraction in Azure
    • Azure AI services for information extraction
    • Extract information with Azure AI Vision
    • Extract multimodal information with Azure AI Content Understanding
    • Extract information from forms with Azure AI Document Intelligence
    • Create a knowledge mining solution with Azure AI Search
    • Exercise - Extract information
    • Module assessment
|
View Full Schedule

Schedule

5 options available

  • Aug 11, 2025 - Aug 11, 2025 (1 day)
    Live Virtual | 9:00AM 5:00PM EDT
    Language English
    Select from 1 options below
    Live Virtual |9:00AM 5:00PM EDT
    Live Virtual | 9:00AM 5:00PM EDT
    Enroll
    Enroll Add to quote
    SAVE 20% on this course -
    Promo Code: LEARN20
  • Sep 15, 2025 - Sep 15, 2025 (1 day)
    Live Virtual | 9:00AM 5:00PM EDT
    Language English
    Select from 1 options below
    Live Virtual |9:00AM 5:00PM EDT
    Live Virtual | 9:00AM 5:00PM EDT
    Enroll
    Enroll Add to quote
  • Oct 13, 2025 - Oct 13, 2025 (1 day)
    Live Virtual | 9:00AM 5:00PM EDT
    Language English
    Select from 1 options below
    Live Virtual |9:00AM 5:00PM EDT
    Live Virtual | 9:00AM 5:00PM EDT
    Enroll
    Enroll Add to quote
  • Nov 21, 2025 - Nov 21, 2025 (1 day)
    Live Virtual | 9:00AM 5:00PM EST
    Language English
    Select from 1 options below
    Live Virtual |9:00AM 5:00PM EST
    Live Virtual | 9:00AM 5:00PM EST
    Enroll
    Enroll Add to quote
  • Dec 8, 2025 - Dec 8, 2025 (1 day)
    Live Virtual | 9:00AM 5:00PM EST
    Language English
    Select from 1 options below
    Live Virtual |9:00AM 5:00PM EST
    Live Virtual | 9:00AM 5:00PM EST
    Enroll
    Enroll Add to quote

FAQ

How do I get a Microsoft exam voucher?

Pearson Vue Exam vouchers can be requested and ordered with your course purchase or can be ordered separately by clicking here.

  • Vouchers are non-refundable and non-returnable. Vouchers expire 12 months from the date they are issued unless otherwise specified in the terms and conditions.
  • Voucher expiration dates cannot be extended. The exam must be taken by the expiration date printed on the voucher.

Do Microsoft courses come with post lab access?

Most Microsoft official courses will include post-lab access ranging from 30 to 180 calendar days after instructor led course delivery. A lab training key in class will be provided that can be leveraged to continue connecting to a remote lab environment for the individual course attendee.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour-long after 3-3.5 hours of the class day.

What languages are used to deliver training?

Microsoft courses are conducted in English unless otherwise specified.

Reviews

They were very good. They made sure everyone was able to get into the training and got all of the material needed for class.

The instructor really took his time and made sure I was able to understand the concepts.

I registered a day before class and am happy that I received all the materials and links in time for the class. Thanks.

Although there seemed to be too many links for the course, everything worked smoothly.

Great company -- easy to sign up and very organized. Loved my teacher and class overall.