Introduction to AI in Azure Training (AI-900 Exam Prep)

Details

Course 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.

What Is Included

  • Expert-led training with practical, real-world examples
  • Official CompTIA Tech+ courseware and supplemental resources
  • Certificate of completion
  • Hands-on labs and interactive exercises
  • Access to class recordings for 90 days (if applicable)
  • Guaranteed-to-run dates (if applicable)
  • Flexible rescheduling options

Who Should Attend?

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 Prerequisites

There are no required prerequisites. Success in this course is supported by:

  • Experience using computers and the internet
  • Interest in AI workloads and applications
  • A basic understanding of math (interpreting charts, simple probability)
  • Familiarity with fundamental programming concepts (helpful but not required)

What's Included

What’s included?

  • Authorized Courseware
  • Intensive Hands on Skills Development with an Experienced Subject Matter Expert
  • Hands-on practice on real Servers and extended lab support 1.800.482.3172
  • Examination Vouchers & Onsite Certification Testing- (excluding Adobe and PMP Boot Camps)
  • Academy Code of Honor: Test Pass Guarantee
  • Optional: Package for Hotel Accommodations, Lunch and Transportation

Training Solutions

With several convenient training delivery methods offered, The Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Academy for an engaging and effective learning experience.

Methods

  • Instructor Led (the best training format we offer)
  • Live Online Classroom – Online Instructor Led
  • Self-Paced Video

Speak to an Admissions Representative for complete details

Schedule

StartFinishPublic PricePublic Enroll Private PricePrivate Enroll
12/8/202512/12/2025
12/29/20251/2/2026
1/19/20261/23/2026
2/9/20262/13/2026
3/2/20263/6/2026
3/23/20263/27/2026
4/13/20264/17/2026
5/4/20265/8/2026
5/25/20265/29/2026
6/15/20266/19/2026
7/6/20267/10/2026
7/27/20267/31/2026
8/17/20268/21/2026
9/7/20269/11/2026
9/28/202610/2/2026
10/19/202610/23/2026
11/9/202611/13/2026
11/30/202612/4/2026
12/21/202612/25/2026
1/11/20271/15/2027

Curriculum

Agenda

1 – Introduction to AI concepts

  • Generative AI
  • Computer vision
  • Speech
  • Natural language processing
  • Extract data and insights
  • Responsible AI
  • Module assessment

2 – Introduction to machine learning concepts

  • What is machine learning?
  • Types of machine learning
  • Regression
  • Binary classification
  • Multiclass classification
  • Clustering
  • Deep learning
  • Transformers
  • Module assessment

3 – Design a machine learning model training solution

  • Define the problem
  • Get and prepare data
  • Train the model
  • Integrate a model
  • Monitor the model
  • Module assessment

4 – 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

5 – Get started with generative AI on 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
  • Module assessment

6 – Introduction to natural language processing concepts

  • Understand how language is processed
  • Understand statistical techniques for NLP
  • Understand semantic language models
  • Module assessment

7 – Get started with natural language processing on 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
  • Module assessment

8 – Get started with speech on Azure

  • Understand speech recognition and synthesis
  • Get started with speech on Azure
  • Use Azure AI Speech
  • Module assessment

9 – Introduction to computer vision concepts

  • Overview
  • Understand image processing
  • Machine learning for computer vision
  • Understand modern vision models
  • Module assessment

10 – Get started with computer vision on 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
  • Module assessment

11 – 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

12 – Get started with AI-powered information extraction on 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
  • Module assessment