Language models have moved beyond simple chat. They now reason, retrieve information, use tools, process images and voice, and coordinate tasks through agents. The Art and Science of Prompt Engineering provides a practical guide to working with these systems. This second edition explains how to design clear prompts, build reliable context, use retrieval and tools, structure agentic workflows, and evaluate outputs. It covers reasoning models, multimodal prompting, safety, prompt injection, governance, academic integrity, and real-world applications across education, healthcare, law, finance, agriculture, research, and business. Written for professionals, educators, researchers, students, developers, and organisational leaders, the book combines technical insight with accessible explanations, tested examples, reflection questions, and applied projects. It shows that effective prompt engineering is not clever wording. It is a disciplined process of specification, testing, evidence, and improvement. Readers will gain the skills required to design language-model systems that are useful, reliable, responsible, and fit for purpose.
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