Prompt Engineering is a practical and comprehensive guide to communicating effectively with Artificial Intelligence and Large Language Models (LLMs). The book explains how well-designed prompts can improve the accuracy, relevance, consistency, and usefulness of AI-generated responses.

Starting with the fundamentals of Generative AI and Large Language Models, the book gradually progresses from basic prompt design to advanced prompting techniques. Readers will learn how to create effective prompts for text generation, summarization, analysis, coding, research, content creation, problem-solving, and AI-powered applications.

The book also explores structured prompting, few-shot learning, role-based prompting, chain-of-thought concepts, prompt templates, tool calling, Retrieval-Augmented Generation (RAG), AI agents, multimodal prompting, and Agentic AI workflows.

With practical examples and real-world use cases, this book helps readers develop the skills required to use modern AI tools effectively and build intelligent AI applications.

What You Will Learn
Introduction to Artificial Intelligence and Generative AI
Understanding Large Language Models (LLMs)
How LLMs Understand and Generate Responses
Tokens, Context Windows, and Model Parameters
Fundamentals of Prompt Engineering
Prompt Structure and Prompt Design Principles
Zero-Shot Prompting
One-Shot and Few-Shot Prompting
Role-Based Prompting
Instruction-Based Prompting
Context and Constraint-Based Prompting
Structured Output and Format Control
Prompt Templates
System, User, and Assistant Instructions
Step-by-Step Problem-Solving Prompts
Reasoning and Task Decomposition
Chain-of-Thought Concepts and Reasoning Strategies
Self-Consistency and Prompt Refinement
Prompt Chaining
Iterative Prompt Optimization
Context Engineering
Coding and Programming Prompts
Debugging and Code Generation Prompts
Content Creation and Copywriting Prompts
Summarization and Text Analysis
Data Analysis and Research Prompts
Educational and Learning Prompts
Business and Productivity Prompts
Image and Multimodal Prompting
Prompting for AI Assistants and Chatbots
Prompt Engineering with ChatGPT and Other LLMs
API-Based Prompt Engineering
Function Calling and Tool Calling
Retrieval-Augmented Generation (RAG)
Prompting with External Knowledge and Documents
AI Agents and Agentic AI
Prompt Design for AI Agent Workflows
Multi-Agent Prompting
Prompt Evaluation and Testing
Improving Accuracy and Reducing Hallucinations
Prompt Security and Prompt Injection
Responsible and Ethical AI Usage
Performance and Cost Optimization
Real-World Prompt Engineering Projects
Who This Book Is For
Beginners learning Prompt Engineering
Students and Computer Science learners
Software Developers and Programmers
AI and Machine Learning Professionals
Generative AI Developers
Data Scientists and Analysts
Content Creators and Digital Marketers
Business Professionals
Teachers and Trainers
AI Engineers and AI Enthusiasts
Anyone interested in using Generative AI effectively