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