Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Udemy

AI Fundamentals: Microsoft 365 Copilot and Azure AI Foundry

via Udemy

Overview

Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
Learn the fundamentals of AI in both Microsoft 365 Copilot and Azure with hands on labs and simulations available 24/7

What you'll 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!

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

Syllabus

  • Introduction
  • Identify features of common AI workloads
  • Identify guiding principles for responsible AI
  • Identify common machine learning types
  • Describe core machine learning concepts
  • Describe capabilities of visual tools in Azure Machine Learning Studio
  • Identify common types of computer vision solutions
  • Identify Azure tools and services for computer vision tasks
  • Identify features of common NLP Workload Scenarios
  • Identify Azure tools and services for NLP workloads
  • Identify considerations for conversational AI solutions on Azure
  • Identify features and capabilities of generative AI & the Azure Open AI Service
  • FINAL - Where do I go from here?

Taught by

John Christopher | 500,000+ enrollments

Reviews

4.6 rating at Udemy based on 914 ratings

Start your review of AI Fundamentals: Microsoft 365 Copilot and Azure AI Foundry

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.