About Event

Artificial Intelligence is rapidly evolving from cloud-based AI tools toward practical, customizable systems that can run locally and solve domain-specific problems. This two-day hands-on workshop is designed to provide participants with practical exposure to modern AI systems using Local Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI workflows, and grounded AI agents.

Participants will gain hands-on experience in running local AI models, building AI-powered tools, creating mini knowledge assistants, and understanding the architecture behind modern AI assistant systems. The workshop emphasizes practical implementation with guided sessions using tools such as Ollama, OpenWebUI, LangChain, CrewAI, and vector databases.

The programme is designed for faculty members, research scholars, students, and industry professionals interested in Generative AI and AI system development. No prior experience in advanced AI is required, and all practical sessions are beginner-friendly and guided.

Key Highlights:
• Run AI models locally on your system
• Build AI-powered tools and workflows
• Create Mini-RAG assistants
• Design grounded AI agents
• Hands-on sessions with modern AI frameworks and tools

The workshop aims to help participants move beyond simply using AI tools toward understanding and building practical AI systems for teaching, research, and real-world applications.