Introduction to Generative AI
Welcome! This presentation introduces key concepts of Generative AI.
What Is Generative AI?
- AI that creates new content
- Examples: text, images, music, code
- Powered by deep learning models
Generative AI goes beyond prediction—it generates original outputs based on learned patterns.
Real-World Applications
- Chatbots and virtual assistants
- Image and video generation
- Code completion and debugging
From customer service to creative industries, generative AI is transforming how we work and interact.
Key Technologies
- Neural networks and transformers
- Large Language Models (LLMs)
- Training on massive datasets
These technologies enable machines to understand and replicate human-like creativity.
Popular Tools
- ChatGPT, DALL·E, Midjourney
- Hugging Face Transformers
- Google Bard, Meta LLaMA
These tools make generative AI accessible to developers, educators, and creators.
Ethical Considerations
- Bias in training data
- Copyright and originality
- Misinformation risks
With great power comes responsibility—ethical design and usage are essential.
Course Structure
- Hands-on demos and coding
- Community support and Q&A
The course is structured to build your understanding step-by-step, with practical examples.
Final Takeaways
- Learn the fundamentals
- Explore real-world tools
- Practice with guided labs
This is just the beginning—continue learning and experimenting to unlock the full potential of generative AI.
Generative AI Recorded Sessions
Ages 5–8
Generative AI — Ages 5–8
Story-led introduction. Hands-on games and playful examples to spark curiosity.
Ages 9–11
Generative AI — Ages 9–11
Project-based session: pattern recognition and a mini project to try at home.
Ages 12–16
Generative AI — Ages 12–16
Deeper concepts with real-world examples and guided coding demo.