AI Fundamentals: From Prompts to Your First Agent
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
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
This course provides a vendor-neutral introduction to generative AI and its practical use in professional environments. Participants learn how generative AI works, how to write effective prompts, and how concepts such as AI agents and retrieval-augmented generation can support everyday work.
By the end of the course, attendees can confidently collaborate with AI, recognize opportunities to apply it in daily workflows, and create simple, practical AI solutions using tools such as ChatGPT, Gemini, Claude, or similar platforms—without requiring deep technical expertise.
Working with Microsoft 365 Copilot?
If your organization uses Microsoft 365 Copilot, the Microsoft 365 Copilot Fundamentals course focuses on applying these ideas directly within Microsoft tools like Word, Excel, Outlook, and Teams.
This course is designed for anyone who wants to get started with generative AI and ChatGPT and understand how to use it effectively in a professional context. No prior knowledge of AI or ChatGPT is required.
