Course structure
1. Fundamentals
a. Introduction to Generative AI and ChatGPT
b. Understanding NLP, and ChatGPT’s language Generation abilities.
c. How does ChatGPT differs from other chatbots?
2. ChatGPT Architecture
a. Supervised model
b. Human reinforcement learning
c. The Proximal Policy Optimization
3. Applying ChatGPT
a. 4 rules of working with generative AI
b. 5- question framework to write a good prompt. Including testing and itering.
4. Integration of ChatGPT
a. Critical thinking of ChatGPT business cases
b. Ways to integrate ChatGPT in workflows.
5. Limitations, Risks and business guidelines
a. Limitations, risks and business guidelines
b. Ethical guidelines and law
