Microsoft Copilot Studio Course Outline
Special Note to New Hampshire Residents
This 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.
This intensive course offers an in-depth exploration of Microsoft Copilot and its applications in modern business processes. Designed for both non-programmers and developers, the course demystifies the integration of AI into everyday business tasks, providing hands-on experience and practical examples. By the end of the course, participants will be equipped with the knowledge to leverage AI technologies in their organizations, enhancing productivity and innovation.
Basic understanding of computer concepts.
No prior knowledge of AI or machine learning is required.
Click the button below to sign up for this class and other free Copilot sessions.
Can't make the date? Enroll anyway and we'll give you access to the recorded session!
Course content is subject to change to keep pace with the latest advancements and updates.
MODULE 1: UNDERSTANDING MICROSOFT COPILOT
Introduction to Microsoft Copilot: Definition and Evolution
Generative AI and Business Integration
Accessibility and Ease of Use for Non-Technical Users
Overview of Microsoft's AI Technologies
MODULE 2: PRACTICAL APPLICATIONS OF MICROSOFT COPILOT
Microsoft 365 Copilot: Enhancing Office Applications
AI Builder and Power Platform: Tailoring AI for Specific Applications
Developing Chatbots with Power Virtual Agents
Azure AI Studio: Building Customized AI Solutions
MODULE 3: DEEP DIVE INTO AI MODELS AND TECHNOLOGIES
Exploring Large Language Models (LLMs)
Practical Uses of GitHub Copilot in Development
Customization of AI Responses and Interactions
Integrating AI into Existing Systems: A Hands-On Approach
MODULE 4: CREATING SOLUTIONS WITH AI
Building Flows in Power Automate with AI Models
Developing AI-Driven Applications in Azure AI Studio
Case Studies: Real-World Examples of AI Integration
Customizing AI for Specific Business Needs
Recap of Key Learnings and Best Practices
Future Trends in AI and Business Applications
Next Steps for Implementing AI in Your Organization
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