Workshop on Agentic AI & No-Code Automation: Accelerating Research, Empowering Careers

Held: Friday, September 12, 2025 • 2:00–5:00 PM (in-person)

Faculty and students participated in a three-hour, hands-on workshop focused on Agentic AI and no-code automation for academic research. The program introduced core concepts—Retrieval-Augmented Generation (RAG), ReAct reasoning with LangChain, and workflow automation using n8n—and guided attendees to build practical, career-ready artefacts.

AI Automation Workshop

What participants learned

• How Agentic AI can automate literature tasks like summarizing papers and managing references.
• The building blocks of a RAG Q&A chatbot (LangChain + ChromaDB; OpenAI API mock).
• Prompt engineering strategies to improve model outputs.
• ReAct logic to enable tools-aware, step-by-step reasoning in chatbots.
• No-code workflows with n8n to process PDFs and orchestrate research pipelines.
• Portfolio development on GitHub to showcase projects and skills.

AI Automation Workshop

Hands-on outcomes

• A working RAG-based summarization chatbot built in Google Colab.
• A no-code automation that processes a PDF end-to-end.
• A GitHub repository (with README) to present the work and aid job searches.

AI Automation Workshop

Agenda snapshots

• Session 1 (2:00–3:00 PM): Agentic AI foundations & RAG chatbot setup
• Break (3:00–3:10 PM)
• Session 2 (3:10–4:10 PM): n8n automation & prompt engineering
• Session 3 (4:10–5:00 PM): ReAct agents & portfolio building on GitHub

AI Automation Workshop

Instructor