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Learn To Build Smarter AI Agents With LangGraph

Hosted by Sol Farahmand

Mon, Aug 10, 2026

5:30 PM UTC (45 minutes)

Virtual (Zoom)

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Become a Base44 Pro Builder: From Idea to Secure, Client-Ready App
Sol Farahmand and Shay Bar
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What you'll learn

Set up LangGraph state in a Jupyter notebook

Learn to define a state class with a list of messages and add_messages as the reducer, so each step keeps context.

Turn plain Python functions into graph nodes

Learn to write a function that takes state and returns state, then register it with add_node on a StateGraph builder.

Wire the flow with edges, START, and END

Learn to connect nodes with add_edge, compile the graph, and invoke it to see the state snapshot each node produces.

Visualize and debug the whole run

Learn to draw the graph as a mermaid diagram, read checkpoints, and trace which node failed using LangSmith.

Why this topic matters

Right now your agents run in a straight line: one prompt in, one answer out. The moment a real task needs a decision, a retry, or memory of what already happened, you are rebuilding the whole thing. LangGraph gives you a workflow you can see, branch, pause, and resume, which is the gap between a demo agent and one a team can run. That structure carries into any agent framework you pick up next.

You'll learn from

Sol Farahmand

AI Hackathon Winner | 2X Entrepreneur | AI Workflow Builder

Hi, my name is Sol, I’m a business owner taking on some of my toughest business tasks with AI to increase productivity, and I want to share my learning journey with you so that you can skip the trial and error of using AI.

I’ve built hands-on AI systems using tools like Lovable, Claude Cowork, MindStudio, Claude Code, and Codex. I specialize in turning complex AI concepts into practical systems that professionals and business owners can actually use.

I’m an AI hackathon winner, have published 5 Skills, and teach through real implementation instead of theory.

What makes my teaching different is that I help you become operational with AI and improve productivity that fits directly into your day-to-day work.

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