AI-900: Microsoft AI Fundamentals


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. 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 Azure AI Fundamentals 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.

  • During this one-day boot camp, student will be introduced to the Artificial intelligent concepts that and Microsoft services that are used to create AI Solutions. This boot camp is built to give the student a blended learning experience. A combination of instructor led training and online materials utilizing the Microsoft Learn Platform.

Upon completion of this boot camp, student will be able to:

    • Describe Artificial Intelligence workloads and considerations
    • Describe fundamental principle 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
    • Familiarity with computers and using web a browseSkills gained
  • 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

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

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.


  • 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

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Module 1: Introduction to AI

  • Artificial Intelligence in Azure
  • Responsible AI

Module 2: Machine Learning

  • Introduction to Machine Learning
  • Azure Machine Learning

Module 3: Computer Vision

  • Computer Vision Concepts
  • Computer Vision in Azure

Module 4: Natural language Processing

  • Describe scenarios for AI Solutions
  • How to build solutions using azure services that analyze text, recognize, and synthesize speech and translate between languages, as well as interpret commands.

Module 5: Conversational AI

  • Conversational AI Concepts
  • Conversational AI in Azure