AIRSA Resources
Download tools, templates, datasets, and guides to accelerate AI work across Africa.
Generative AI HandBook
The Generative AI Handbook, authored by James Mane, provides a practical introduction to the concepts, technologies, and applications of Generative Artificial Intelligence. It explores key topics including Large Language Models, Transformer Architecture, Prompt Engineering, Retrieval-Augmented Generation, and AI model customization. The handbook introduces different generative models and explains how they create text, images, audio, video, and computer code. It examines real-world applications of Generative AI across education, healthcare, finance, business, marketing, and software development. It also emphasizes responsible AI practices, safety, and effective prompting techniques to help readers understand and apply Generative AI effectively.
Artificial Intelligence for Beginners Book
Artificial Intelligence for Beginners: A Practical, Step-by-Step Learning Guide by James Mane introduces readers to the fundamentals of artificial intelligence in clear, accessible language. It explores AI concepts, generative AI, machine learning, AI tools, and effective prompt engineering. The book demonstrates practical AI applications in education, agriculture, healthcare, business, research, and finance. It guides readers on responsible AI use, data privacy, ethics, bias, and how to verify AI-generated information. With practical exercises, mini-projects, and a 30-day learning plan, this guide equips beginners with the knowledge and confidence to use AI effectively and responsibly.
Prompt Engineering HandBook
The Prompt Engineering Handbook is a practical and professional guide to mastering the art and discipline of communicating effectively with generative AI systems. The handbook takes readers from the foundations of prompt engineering through advanced prompting techniques, professional applications, AI workflow design, evaluation, verification, privacy, responsible AI use, and governance. It provides a structured six-part prompt architecture, reusable prompt templates, practical case studies, exercises, knowledge checks, and professional audit tools that can be applied across research, education, business, programming, data analysis, writing, strategy, and creative work. The handbook also emphasises responsible AI practices, including verification, data protection, bias awareness, prompt injection defence, and human oversight. Designed for students, researchers, professionals, entrepreneurs, educators, organisations, and aspiring AI practitioners, this handbook provides a practical pathway from simply using AI to designing reliable and purposeful AI workflows. It is particularly relevant to individuals and organisations seeking to build practical AI literacy and create value through responsible AI adoption.