MS-4014: Build a foundation to extend Microsoft 365 Copilot Course Outline
Special Note to New Hampshire ResidentsThis course has not yet been approved by the New Hampshire Department of Education. Please contact us for an update on when the class will be available in New Hampshire.
Overview
This class is designed to help you develop the skills needed to customize and expand the capabilities of Microsoft 365 Copilot. You'll learn how to integrate your data and processes to optimize the AI-driven features of Copilot for your organization.
We'll focus on key areas like extending Copilot's functionality, integrating it with other Microsoft 365 tools, and customizing its performance to meet your specific business needs. This course aims to provide you with the foundational knowledge to build and deploy Copilot solutions effectively.
Note: This course is under development. Content may be subject to major change.
Prerequisites
Basic knowledge of Microsoft 365 and AI-driven technologies is recommended.
Course Outline
Understanding Microsoft 365 Copilot
Introduction to Microsoft 365 Copilot and its core features
How Copilot integrates into the Microsoft 365 ecosystem
Benefits of using AI-powered tools for productivity enhancement
Exploring Copilot's Foundation
The underlying architecture of Microsoft 365 Copilot
Key components that drive Copilot’s AI capabilities
Overview of data security and privacy within Copilot's operations
Customizing Microsoft 365 Copilot
Techniques for tailoring Copilot to specific business workflows
Configuring settings to optimize Copilot’s AI responses
Best practices for aligning Copilot's capabilities with organizational goals
Integrating Data Sources with Copilot
Connecting internal and external data to enhance Copilot’s functionality
Utilizing data connectors and plugins for seamless integration
Real-world scenarios of data-driven insights through Copilot
Building and Deploying AI Extensions
Step-by-step guide to creating AI-driven extensions for Copilot
Using Power Platform and other tools to build custom Copilot applications
How to test and validate extensions for optimal performance
Collaborating with Copilot Studio
Overview of Copilot Studio’s capabilities for custom development
Leveraging low-code solutions to expand Copilot’s AI applications
Designing and deploying Copilot-based projects across teams
Implementing Copilot in Business Scenarios
Case studies on deploying Copilot extensions in various industries
Lessons learned from successful Copilot integration projects
Strategies for scaling AI-driven initiatives within an organization
Future Trends in Microsoft 365 Copilot Development
Upcoming features and updates for extending Copilot’s capabilities
Preparing your organization for the future of AI-powered productivity
Best practices for continuous improvement and AI innovation
View outline in Word
AMS4B4