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AI Fundamentals: Microsoft 365 Copilot and Azure AI Foundry (Udemy.com)

Learn the fundamentals of AI in both Microsoft 365 Copilot and Azure with hands on labs and simulations available 24/7

Created by: John Christopher

Last updated August 2026

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What you will learn

  • Learn the fundamental concepts and perform hands on activities involving AI in Microsoft 365 and Azure
  • Gain a tremendous amount of knowledge involving AI in Microsoft 365 and Azure
  • Get loads of hands on experience with AI in Microsoft 365 and Azure
  • Utilize hands on simulations that can be access anytime, anywhere!

How it compares

Against the other 848 rated Udemy courses in IT Certifications on CourseDuck:

  • Rating4.5 out of 5higher than 43% of them
  • Reviews919#304 of 849 by number of reviews
  • Length7.5 hoursshorter than 54% of them
  • Last updatedAugust 2026more recently than 78% of them

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Course Description

We really hope you'll agree, this training is way more than the average course on Udemy!

Have access to the following:

  • Training from an instructor of over 25 years who has trained thousands of people and also a Microsoft Certified Trainer

  • Lecture that explains the concepts in an easy to learn method for someone that is just starting out with this material

  • Instructor led hands on and simulations to practice that can be followed even if you have little to no experience

TOPICS COVERED INCLUDING HANDS ON LECTURE AND PRACTICE TUTORIALS:

Introduction

  • Welcome to the course

  • Understanding the Microsoft Environment

  • Having a Solid Foundation of Active Directory Domains

  • Having a Solid Foundation of RAS, DMZ, and Virtualization

  • Having a Solid Foundation of the Microsoft Cloud Services

  • DONT SKIP: The first thing to know about Microsoft cloud services

  • Questions for John Christopher

  • Certificate of Completion

Setting up for hands on

  • IMPORTANT Using Assignments in the course

  • DONT SKIP: Before beginning your account setup

  • Creating a free Microsoft 365 Account

  • Getting your free Azure credit

The implications of data security with Microsoft Copilot

  • Concepts of how Microsoft Copilot accesses data

  • Concepts of the influence Microsoft Graph has with Copilot

  • Permissions control in Microsoft 365 with Copilot

  • Responsible AI concepts

Understanding data protection and governance risks for Microsoft 365 and Copilot

  • Compliance risks and recommendations with Purview Compliance Manager

  • Using Microsoft Purview Data Explorer to identify sensitive information

  • Concepts of Insider Risk Management for identifying risks

  • Using Insider Risk Management policies in Microsoft Purview

  • Viewing AI activity with DSPM

Copilot and agent features and capabilities

  • Copilot and agent support for built-in capabilities

  • Copilot monthly license model compared to pay-as-you-go

  • Enabling or Disabling features in Microsoft Copilot

  • Understanding Researcher, Analyst, and custom agent use cases

Using Copilot and agents for performing administrative tasks

  • Copilot license assignment

  • Working with Copilot pay-as-you-go billing policies

  • Copilot usage, adoption, and Analytics

  • Prompts: Saving, sharing, scheduling, and deleting

  • Configuring user access to agents

  • Agent creation

  • Concepts of the approval process for agents

  • Usage, operational insights, and agent lifecycle monitoring

Understanding the config and components of AI Models and workloads

  • Concepts of generative AI Models

  • Understanding capabilities of AI models

  • AI model deployment options and config parameters

  • AI workloads, generative and agentic AI scenarios

  • Text analysis techniques, keyword extraction and more

  • Speech recognition and speech synthesis features and capabilities

  • Computer vision and image generation model features and capabilities

  • Extracting information from text, images, audio, and video

Working with generative AI, Text, Speech, computer vision and image-generation

  • User prompts with generative AI models

  • Deploying and interacting with models in Foundry

  • Implementing a lightweight chat client with Foundry SDK

  • Working with a single agent solution in Foundry

  • Implementing a lightweight client application for an agent

  • Implementing a lightweight app that includes text analysis

  • Multimodal models with spoken prompts

  • Implementing a lightweight application using Azure Speech in Foundry

  • Multimodal models with visual inputs

  • Generative models and visual outputs

  • Implementing a lightweight application with vision capabilities

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Instructor Details

John Christopher

John Christopher is a Technical Instructor that has been in the business for 25 years. His first experience with information technology occurred in the early 90s when he ran an MS-DOS based BBS(Bulletin Board System) as a System Operator. In the late 90s, after working with Windows NT 3.50 performing backups for Regal Group, he decided to get Windows NT Microsoft Certified.

In 1998 he got his first Microsoft Certified Systems Engineer and Microsoft Certified Trainer certification. Shortly after getting certified, he began working as a Junior Administrator and Instructor for Knowledge Alliance. From there John was able to become one of the first people in the world to gain an MCSE for the Windows 2000 operating system and he began teaching full time for a company called Productivity Point International. At Productivity Point, John got Citrix Metaframe certified and began teaching Citrix along with Microsoft classes. Productivity Point began experiencing financial troubles and John moved on to work with another training company in 2001

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Reviews

4.5

919 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Jim Bruce on 2/19/2026

What a waste of 5.5 hours of my life. This course is no way near as complete as the AZ-900 course by the same author. Having completed the test exam on the MSFT learn site for AI-900, it is clear that a lot of the information in this course is out of date and updated terms or services have not been included. This course seems to be more focused for those who will be creating ML models rather than as a fundamentals overview.

By Erich Haeusser on 12/17/2025

Another great course by John Christopher! He takes time to thoroughly explain the concepts, provides hands-on demos that walk you through the process of setting up the discussed topics without requiring your own Azure subscription, and clearly has a good grasp of the contents he's teaching on. Looking forward to the next one!

By Josep Serrano Díaz on 10/9/2025

Otro curso magnífico de John Christopher. Auque se trata de un curso fundamentals, me ha sorprendido para bien, ya que además de explicar los conceptos básicos de AI en Azure también muestra ejemplos prácticos de uso de las APIs con Postman y de creación/uso de los recursos en modo UI. Recomendado al 100%.

By Silvana Gutierrez on 8/6/2025

I really enjoyed this Udemy course. It was far better than the Microsoft Learn AI-900 modules. While Microsoft’s training is useful for a super high-level overview, the structure and format for this course were much more engaging, and the labs were helpful. I could follow along without needing to open an Azure account, which I plan to do later. After completing this course, I feel much more confident and plan to take some practice exams to see how much I’ve improved. Highly recommend this as a supplemental or even primary resource for anyone preparing for the AI-900 certification.

By Donald F. Cesaretti on 3/27/2025

This was a terrific course in understanding what Microsoft's purpose of a foundational understanding of Artificial Intelligence is from their point of view. The information is, as expected, well mapped to what the AI-900 certification exam touches . I enjoyed the very clear, honest education the instructor brought.

By Johannes Hock on 10/4/2024

Excellent course covering the most important aspects of Azure. It is a very good preparation for the AZ-900 certification, which should ideally still be extended with some "playing-around" in Azure and other practice test questionaries. The virtual simulations are a big plus, and can also be considered as a good do-it-yourself exercise.

By Craig Frazier on 7/5/2024

The course covered most of the areas except Document Intelligence and Mining. However I always used the Microsoft Learn Resources in conjuction with this video. I'll update my message and rating after my exam. ----Update on July 11----- I took my exam and passed with 885. I have upgraded the score to reflect a high probability of passing by using Chris' video and the official Microsoft Learn resources.

By Predeshni Moodley on 6/14/2024

Excellent course. Helped me understand the fundamentals of AI and prep for my AI-900 exam as the videos where very concise with well planned demonstrations that gave very good clarity over the required concepts. I enjoyed every minute of the entire tutorial and ended feeling much more informed about AI before I started.

By Aga L on 4/10/2024

I must say it was truly beneficial. The course content was well-structured, providing a clear path through each topic. Step-by-step instructions were incredibly helpful, making complex concepts easy to grasp. I thoroughly enjoyed the course and found the learning experience to be both enjoyable and enlightening. The instructor's clear and concise delivery made listening a breeze, ensuring understanding at every step. Highly recommended!

By Arman Salimi on 1/8/2024

I enjoyed the course, the instructor communicated very well and clear. The simulations are good, but when duplicating most of the labs via the current live Azure Portal, it looks like much of the content needs a little updating. It is not impossible, but I felt like there may be differences from this to the exam.

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Overall Score : 90 / 100