Additional information
| Book Format | Electronic – Vital Source, Soft Copy Printed |
|---|---|
| Discipline | Applied AI For Business |
| Textbook Edition | For Post-Secondary Instructors, For Post-Secondary Students |
| Subject | Understanding AI |
Mujo’s Prompt Engineering and Large Language Models (PELLM) student textbook is a comprehensive, practical guide to understanding and working with generative AI systems in real-world professional environments. Designed for college and university students in any discipline, this prompt engineering textbook requires no prior technical background and builds skills progressively across eight chapters, from large language model fundamentals through to advanced prompt engineering strategies, AI workflow design, and responsible AI governance.
Students learn how large language models are built, trained, and deployed, then develop hands-on proficiency in the prompt engineering techniques that employers are actively seeking: role-based prompting, chain-of-thought reasoning, few-shot learning, context management, iterative prompt refinement, and domain-specific prompting for business, technical writing, data analysis, and creative applications. The textbook also covers multimodal AI systems, function calling, and multi-step AI workflow design, giving students a complete picture of how generative AI is applied across modern workplaces.
The PELLM student textbook takes a platform-agnostic approach, teaching prompting principles that apply across all major AI platforms including ChatGPT, Claude, Gemini, and Microsoft Copilot. Students graduate with transferable, future-ready skills that remain relevant as the technology continues to evolve, rather than knowledge tied to a single tool or version.
This textbook is suitable as the primary course text for a standalone prompt engineering course, or as a key component within broader programs in business, marketing, communications, computer science, and applied AI. It is available in both print and digital formats, with full accessibility features and compatibility with all major Learning Management Systems including Canvas, Moodle, Blackboard, and Brightspace.
