Introduction to Artificial Intelligence and ChatGPT

What is Artificial Intelligence, Key Components of AI, Types of AI (Narrow vs General), Introduction to Machine Learning, Core ML Types: Supervised Learning, Unsupervised Learning, Reinforcement Learning, Real-world AI & ML Applications

Content Generation Capabilities, Writing and Creative Applications, Learning and Educational Uses, Problem-Solving Applications, Business Use Cases, Code Understanding & Generation

Best Practices for ChatGPT, Prompt Engineering Fundamentals, Getting Optimal Responses, Common Pitfalls and Solutions, Use Case Specific Tips, Practical Examples and Exercises

Machine Learning Process Overview, Data in Machine Learning: Data Collection, Data Preparation, Training Data vs Testing Data, Introduction to Neural Networks, Understanding Large Language Models (LLMs), Evolution of Language Models, Connection between ML and LLMs

Introduction to ChatGPT, How ChatGPT Fits into AI Landscape, Technology Behind ChatGPT, GPT Architecture Overview, Understanding Transformer Models, ChatGPT's Core Capabilities

Ethical Considerations in AI, AI Safety and Bias, Privacy and Security Concerns, Responsible AI Usage, Current Limitations of AI, Future Trends and Societal Impact