The workshop on “Hands-on Generative AI: Building RAG-Based AI Applications and Intelligent AI Agents” is designed to provide participants with a comprehensive understanding of emerging concepts, technologies, and practical applications in Generative AI. Participants will explore the fundamentals of Large Language Models (LLMs), Transformer architectures, Prompt Engineering, Retrieval-Augmented Generation (RAG), vector databases, and intelligent AI agents. Through interactive hands-on sessions, attendees will gain practical skills in developing RAG-based applications that can retrieve and generate responses from domain-specific knowledge sources, as well as building intelligent AI agents capable of reasoning, tool usage, and multi-step task execution. The workshop aims to bridge the gap between theoretical concepts and real-world AI application development, empowering students, researchers, educators, and professionals to design and implement intelligent, knowledge-aware, and task-oriented Generative AI solutions.