Introduction to AI and NLP

• Artificial Intelligence and Its types
• Deep Learning (DL)
• Neural Network | A Historical Perspective
• Natural Language Processing
• Applications and Advancement of NLP
• Natural Language Understanding (NLU)
• Sentiment Analysis and Classification
• Architecture of Sentiment Analysis | ML and DL
• Probability in Language Modeling and NLP
• Perplexity
• Burstiness

Introduction to ChatGPT

• Understanding GPT Models
• How Does ChatGPT Work?
• Reinforcement Learning from Human Feedback
• Features and Limitations of ChatGPT
• Real-world Applications of ChatGPT
• ChatGPT vs other AI Language Models
• Job Role: AI Whisperer/Prompt Engineer

Fundamentals of Prompt Engineering

• What is Prompt Engineering?
• Fundamentals of Prompt Engineering
• Ethical Considerations in Prompt Engineering
• Common Challenges and Solutions

Prompt Engineering Implementation

• Techniques of Prompt Engineering
• Advanced Techniques in Prompt Engineering
• Implementing Prompt Engineering
• Evaluating Prompt Effectiveness

Applications of Prompe Engineering

• Use cases of Prompt Engineering
• ChatGPT for Text Generation,br
• ChatGPT for Text Summarization
• ChatGPT for Question Answering
• Building Chatbots Using ChatGPT