Module 1: Introduction to Generative AI
- What is Generative AI?
- Definition, capabilities, and differences from other types of AI
- Examples of generative AI in action (e.g., ChatGPT, DALL-E, etc.)
- Brief history and evolution of Generative AI
- Impact of Generative AI on society and industries
Module 2: How Generative AI Works
- Understanding Large Language Models (LLMs)
- Basic architecture and functionality of LLMs
- How LLMs are trained and fine-tuned
- Exploring other Generative AI models
- Overview of different model types (e.g., GANs, VAEs)
- Examples of applications for each model type
Module 3: Working with Generative AI
- Prompt Engineering
- Techniques for crafting effective prompts to get desired outputs
- Practical examples of prompt engineering in different applications
- Going Beyond Prompting
- Using APIs and other tools to interact with Generative AI models
- Building simple applications that leverage Generative AI
Module 4: Real-World Applications of Generative AI
- Use cases in various industries
- Creative writing and content creation
- Marketing and advertising
- Art and design
- Education
- Healthcare
- Coding and software development
- Ethical considerations and limitations of Generative AI
- Potential biases and discrimination in AI outputs
- Issues of misinformation and deepfakes
- Importance of responsible AI development and use
