AI Fundamentals: From Prompts to Your First Agent

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 Applications & Use Cases for End Users

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)
• Identifying Opportunities for AI Integration
• LAB: Create a First Draft of a Short Presentation Outline

Peeking into Advanced Generative 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.

• Agentic AI: AI that Can Act
• 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
• LAB: Exploring MCP Servers

Building Your Own AI Agents

Building on the concept of Agentic AI, this module offers a glimpse into how end-users might soon be able to create or customize their own simple AI agents using accessible platforms, without needing deep coding skills.

• What Makes an AI Agent? Basic Components (Goals, Tools, Actions)
• Overview of No-Code/Low-Code Platforms for Agent Creation
• Defining Simple Tasks and Workflows for a Personal Agent
• LAB: Designing a Simple Personal Agent