AI Agents from Scratch: A Beginner's LLM Workshop

Please watch the session 1 (https://youtu.be/3uKiE-EHi7E) before participating in session 2.

Build Your First AI Agent in 90 Minutes A hands-on workshop on the 2026 LLM stack — RAG, MCP, and LangGraph. Skip the theory. In one focused session, you'll build a working AI agent that retrieves from your own data, calls tools through the Model Context Protocol (the new universal standard adopted by Anthropic, OpenAI, and Google), and orchestrates multi-step reasoning with LangGraph.

You'll build: A RAG pipeline grounded in your own documents Your own MCP server in Python (yes, really — in under 20 lines) A stateful agent that ties it all together

Perfect for: developers, founders, and technical leaders who want to ship AI agents, not just read about them.

Bring: a laptop with Python 3.10+. API key provided.

Leave with: a working agent on your GitHub and the current stack in your head. No fluff. No 2024 tutorials. Just the tools that matter today.

Agenda: (PDT) 11:00 am - 11:05 am Arrival and socializing and Opening (PDT) 11:05 am - 1:00 pm "AI Agents from Scratch: A Beginner's LLM Workshop" (PDT) 1:00 pm - 1:10 pm Q&A

Dr. Yasin Ceran

Yasin Ceran is passionate about all things data and holds a vast experience in data analysis, mathematical modeling and Apache Spark, and in SQL, Python and R. He is currently an associate professor at KAIST, South Korea, as well as teaching at San Jose State University at the heart of Silicon Valley. Yasin has worked rigorously on an array of data-related projects encompassing data mining, statistics, modeling, and is dedicated to sharing his experience and expertise with learners