AI Fundamentals: Microsoft 365 Copilot and Azure AI Foundry

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