Working Smarter with AI: ChatGPT
UAIT
1 days
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Welcome to the World of AI
This module introduces the fundamental concepts of Generative AI. We'll explore what it is, how it works, different types, its growing importance in today's world, and crucial ethical guidelines, setting the stage for practical application.
- What is Generative AI?
- Types of Generative AI (Text, Image, Audio, Video)
- Exploring Key Generative AI Platforms (e.g., ChatGPT, Google Gemini)
- Understanding "Hallucinations" and Inaccuracies
- Ethical Concerns: Bias, Copyright, Data Privacy
- LAB: Using a GenAI Tool to Analyze an article
Getting Started with ChatGPT
This module introduces the core functionality of ChatGPT. You will learn how to access and navigate the platform and apply its key features in your daily work.
- Understanding the ChatGPT User Interface
- Working with Agents
- Connecting to SharePoint, Gmail, Outlook and more
- Using Conversations
- Working with Projects
- Creating Images, Videos, Posters and more
- Configuring your ChatGPT settings
- LAB: First Steps with ChatGPT
Prompt Engineering: Getting What You Want from AI
Learn the crucial skill of prompt engineering to effectively communicate with AI. This module covers how to write clear, specific prompts to guide AI tools and achieve desired outputs for various tasks.
- What is Prompt Engineering?
- Key Principles of Effective Prompting
- Iterative Prompting and Refining Techniques
- LAB: Prompt Engineering a Marketing Campaign
Practical Use Cases of Generative AI
Discover how Generative AI can be applied to real-world scenarios and integrated into daily workflows. We will brainstorm and discuss practical use cases to enhance productivity and spark creativity.
- Brainstorming Real-World Applications in Your Role
- Use Cases for Productivity (Drafting, Summarizing)
- Use Cases for Creativity (Idea Generation, Content Creation)
Building Your Own AI Agents
Building on the concept of Agentic AI, this module offers a glimpse into how end-users are able to create or customize their own simple AI agents using accessible platforms, without needing deep coding skills.
- What makes an AI Agent?
- Configuring Instructions, Knowledge and Capabilities
- Overview of No-Code/Low-Code Platforms for Agent Creation
- Defining Simple Tasks and Workflows for a Personal Agent
- LAB: Designing Agents for Data Analysis & Company Policies
Context, Collaboration, and the Future of AI
This module provides a high-level overview of some advanced concepts shaping the future of Generative AI. We'll touch upon how AI is becoming more autonomous and how it can access and use external knowledge.
- Understanding Retrieval Augmented Generation (RAG): Giving AI Access to Your Data
- Universal AI Integrations with the Model Context Protocol (MCP)
- The Future Outlook for End-User AI Applications
In this course, participants learn how to effectively apply generative AI in a professional context using tools such as ChatGPT. They gain a clear understanding of key concepts like prompting, large language models and retrieval-augmented generation, and how these translate into real business use cases. While ChatGPT is the primary tool, other platforms such as Gemini, Claude and Microsoft 365 Copilot are introduced to provide broader perspective.
After this course, participants are able to design effective prompts, build specialized agents and integrate AI into their daily workflows.
Working with Microsoft 365 Copilot?
If your organization uses Microsoft 365 Copilot, the Working Smarter with AI: Microsoft 365
Copilot course focuses on applying these ideas directly within a Microsoft 365 environment, using tools like
Word, Excel, Outlook and Teams.
This course is designed for anyone who wants to get started with generative AI and understand how to use it effectively in a professional context. No prior knowledge of AI is required.
