Session Outline
1. Welcome
Quick intro and goals of the session
2. What Is AI?
3. What is AI - Digging (a Little) Deeper!
AI: the broad concept
ML (Machine Learning): learning from data
DL (Deep Learning): layered models, more powerful learning
GAI (Generative AI): creating text, images, video
Q&A around the differences
4. How Does AI Work?
Input → Patterns → Output explained visually
Examples with everyday tools
5. Practical AI Skilling
Hands-on exploration: simple prompts, experimenting with tools
Best practices for asking questions / prompting AI
Quick win: using AI in your own context (business, personal, or learning)
6. Wrap-Up & Next Steps
Recap
Resources for continued learning