1
Introduction to Ai
- Understanding the basics of artificial intelligence.
- Contextualizing Copilot within the AI domain.
- Discussing AI implications and applications across various industries.
Group discussion
Review of recent research and articles on AI and its applications.
2
The Fundamentals of Prompting
- Understanding the foundational concepts of prompts.
- Exploring techniques for crafting effective prompts.
- Analyzing the benefits and limitations of using prompts in language model interactions.
- Understanding how prompts influence Copilot's outputs.
Hands-on work
Developing skills in writing prompts tailored to Copilot.
3
In-Depth Exploration of Copilot
- Introduction to Copilot’s core functionalities.
- Understanding operating conditions and limitations.
- Demonstrating text generation, calculations, presentations, and assisted coding.
- Exploring advanced features like language translation and code generation.
Hands-on work
Summarizing a document, drafting an email, creating formulas in Excel, and preparing a presentation.
4
Copilot in Real-World Scenarios
- Case studies on using Copilot: Word, Excel, PowerPoint, Teams, Outlook, etc.
- Leveraging Copilot for VBA coding.
- Best practices for integrating Copilot into daily workflows.
- Understanding the implications of human-machine collaboration in task creation and automation.
Hands-on work
Hands-on projects with Word, PowerPoint, Excel, Outlook, Teams, and VBA coding.
5
Security and Privacy with Copilot
- Managing data, privacy, and security for Microsoft Copilot in Microsoft 365.
- Best practices for ensuring data security when using Copilot.
- Discussing data privacy implications and regulatory compliance.
- Understanding ethical challenges related to privacy and data security in the Copilot context.
Hands-on work
Demonstrating privacy and security management, including deleting Copilot’s history.
2d
- 14h00 
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