Module 1: Foundations of Generative AI
- What is Generative AI?
- Definition and differentiation from other types of AI
- Historical context and evolution of the field
- Overview of key applications and potential impact
- How does Generative AI work?
- High-level overview of the underlying principles
- Introduction to key concepts:
- Machine learning
- Neural networks
- Deep learning
- Generative models (e.g., GANs, VAEs, Transformers)
- Exploration of different types of generative AI models and their strengths/weaknesses
- Ethical considerations and challenges
- Discussion of potential biases and discrimination in AI models
- Addressing issues of misinformation and deepfakes
- Intellectual property and copyright concerns
Module 2: Exploring Generative AI Applications
- Text Generation
- Language models (e.g., GPT-3, GPT-4)
- Applications: chatbots, content creation, code generation, translation
- Hands-on activities: experimenting with text generation tools
- Image Generation
- Models like DALL-E, Stable Diffusion, Midjourney
- Applications: art, design, marketing, product visualization
- Hands-on activities: creating images from text prompts
- Music Generation
- Models like MusicLM, Magenta
- Applications: composing music, sound design, personalized soundtracks
- Hands-on activities (optional): exploring music generation tools
- Other Applications
- Video generation, 3D model generation, drug discovery, etc.
Module 3: Building with Generative AI
- Introduction to Generative AI tools and platforms
- Overview of popular libraries and frameworks (e.g., TensorFlow, PyTorch)
- Cloud-based platforms and APIs (e.g., OpenAI API)
- Hands-on Project:
- Choose a specific application (e.g., text generation, image generation)
- Guide students through building a simple generative AI model
- Encourage experimentation and creativity
Module 4: Future of Generative AI
- Emerging trends and research directions
- Multimodal generation
- Controllable generation
- Ethical and responsible AI development
- Discussion of potential societal impact
- Job displacement and automation
- Creative industries and the role of human creativity
- Ethical implications and the need for regulation
