This eBook explores how generative AI is transforming eLearning through personalized, data-driven instructional design. It highlights AI’s capabilities in creating custom learning paths, generating content, and providing predictive analytics to forecast learner performance. AI enhances learning analytics, offering real-time insights and deep data analysis to refine courses continuously. It also automates reporting, supports instructors in decision-making, and powers scenario-based simulations.

The book also addresses challenges in implementing AI—such as data privacy, bias, infrastructure needs, and educator resistance—and provides strategies to overcome them. It concludes with best practices for selecting AI tools, building AI-ready infrastructure, and integrating AI effectively without replacing the human element in education. Case studies from corporations and universities illustrate successful applications, and future trends like emotional AI and VR-driven learning are explored.