Module 1: Introduction to Generative AI
- What is Generative AI?
- Definition, key capabilities, and differentiation from other AI types
- Real-world examples of Generative AI (e.g., ChatGPT, DALL-E, Midjourney)
- Brief historical overview and current trends
- Why is Generative AI important?
- Potential impact on various industries and society
- Opportunities and challenges for the future
Module 2: How Generative AI Works
- Understanding the basics of machine learning and neural networks
- How these models learn from data and generate new content
Module 3: Applications of Generative AI
- Text Generation
- Conversational AI (chatbots)
- Content creation (articles, marketing copy)
- Code generation
- Image Generation
- Art and design
- Product visualization and prototyping
- Music Generation
- Composing music and creating sound effects
- Other applications (video generation, 3D models, etc.)
Module 4: Exploring Generative AI Tools and Platforms
- Hands-on activities with popular Generative AI tools:
- ChatGPT for text generation
- DALL-E or Midjourney for image generation
- Music generation tools like Soundraw
Module 5: Ethical Considerations and the Future of Generative AI
- Potential risks and challenges:
- Misinformation and deep fakes
- Biases and discrimination in AI outputs
- Intellectual property and copyright issues
- Responsible AI development and use
- The future of Generative AI and its potential impact
