Google Gemini for Learning & Development: Design Training Content, Assessments, and Personalized Learning Paths with AI (Paperback) (ISBN-13: 9798246742167)

Learning & Development is changing-and simply adding AI tools is not enough.

Organizations today face a critical challenge: skills evolve faster than training programs, learners are overwhelmed with content, and traditional courses struggle to translate into real-world performance. At the same time, AI tools like Google Gemini promise faster content creation, personalized learning, and scalable feedback.

But here's the truth most books won't tell you:

AI does not fix learning problems. It amplifies them.

Google Gemini for Learning & Development is a practical, professional guide for using AI responsibly and effectively to design training that actually works. Rather than automating learning design, this book shows how to use Google Gemini as a learning partner-supporting human judgment instead of replacing it.

Written for Learning & Development professionals, instructional designers, trainers, educators, and HR leaders, this book provides a complete framework for designing training content, assessments, and personalized learning paths using Google Gemini inside Google Workspace.

You'll learn how to:

• Design performance-aligned learning objectives that drive real workplace behavior
• Structure courses, modules, and lessons to reduce cognitive load
• Create clear, learner-focused instructional content in Google Docs
• Design visual learning in Slides that supports understanding-not overload
• Build assessments that measure capability, not memorization
• Use rubrics and feedback to scale evaluation without losing fairness
• Create personalized and adaptive learning paths based on learner readiness
• Use Gemini as an AI tutor without undermining learning or critical thinking
• Scale AI-assisted L&D across teams with governance, consistency, and trust
• Establish ethical guardrails that keep humans accountable for learning decisions

This book is not theoretical. Every chapter follows a practical, repeatable structure with:

• Quick-start actions
• Clear explanations of learning design concepts
• Realistic workplace examples
• Guided exercises using Google Gemini
• Knowledge checks with detailed explanations

Unlike generic AI books, this guide is grounded in instructional design discipline, learning science, and professional accountability. It avoids hype, shortcuts, and over-automation-focusing instead on systems that endure as tools evolve.

Whether you are redesigning corporate training, building scalable learning systems, or exploring AI for education, this book gives you a clear answer to the most important question:

How do you use AI to improve learning-without losing trust, rigor, or human responsibility?

If you are ready to move beyond content generation and start building AI-assisted learning that transfers to real performance, this book is your roadmap.