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 gives participants a clear overview of what generative AI is, how it works, and how to use it effectively in professional contexts. By the end, attendees will confidently apply AI tools, craft strong prompts, and recognize opportunities to integrate AI into daily workflows. They will also gain a basic understanding of concepts like AI agents and retrieval-augmented generation, enabling them to start creating simple, practical AI solutions without needing deep technical expertise.
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.
