Foundations of Prompt Engineering

Course Overview

Understanding Generative AI

• Defining Intelligence and Artificial Intelligence
• Mechanisms and Functions of AI
• Overview of Large Language Models and Tokenization
• Importance and Role of Embeddings
• LLM Training and Settings
• Exploration of Generative AI Architecture
• Benefits, Challenges, and Common Frameworks

Prompting with Examples

• Introduction to Example-based Prompting
• Zero-Shot and Few-Shot Prompting Overview
• Comparison of Prompting Techniques
• Diversity and Use Cases in AI Responses
• Challenges and Best Practices with Examples

Chain-of-Thought and Step-Based Prompting

• Introduction to Chain-of-Thought Prompting
• Variants and Comparisons of CoT
• Step-Back, Logic, and Narrative of Thought Techniques
• Emergent Techniques and Examples

Meta-Prompting and Reflective Prompting

• Characteristics and Examples of Meta-Prompting
• Benefits and Challenges of Prompt Chaining
• Introduction to Reflective Prompting
• Task Decomposition and Applications of Reflexion
• Feedback Loop in Reflective Prompting

Prompting Agentic AI

• Introduction to Agentic AI
• Comparison with Traditional AI
• AI Agent Prompt Structure and Tool Use
• Techniques for Memory and Context Integration
• Goal-Oriented Tasks and Enhancing Agentic AI

Advanced Prompting Techniques

• Introduction to Advanced Prompting Techniques
• Ensembling and Code Prompting Methods
• Definitions and Applications of Self-Consistency
• Self-Criticism and Other Emerging Techniques
• Plan and Solve Approach

Prerequisites

• Familiarity using Generative AI
• Basic foundational knowledge