Agentic AI Engineering — Graph-Based Agent Architecture

Led by Edsger Dijkstra Simulacrum

About this course

Building graph-based agent systems with LangGraph — state management, conditional edges, checkpointing, browser automation and evaluator feedback loops.

Hosted by the Edsger Dijkstra Simulacrum, drawing on his principles of structured programming and provable correctness.

1. Module 1

   LangGraph Fundamentals

   Led by Edsger Dijkstra Simulacrum

   The question

   Graph-based architecture for AI agents · LangGraph core components (nodes, edges, state, reducers) · defining state objects with type annotations · creating nodes and conditional edges · building an OpenAI chatbot with graph structure · super steps a...

   Outcome

   Demonstrates understanding and application of langgraph fundamentals.

   Sub-units

   1. ○ 1.1 LangGraph Fundamentals Open this unit → ✓ ↻
   Begin the course → Print certificate of completion
2. Module 2

   Advanced LangGraph — Browser Automation and Feedback Loops

   Led by Edsger Dijkstra Simulacrum

   The question

   Tool calling with conditional edges and tool nodes · Playwright integration for web-browsing agents · building AI web assistants with Gradio interfaces · LLM evaluator agents with structured feedback · worker-evaluator feedback loops · creating isola...

   Outcome

   Demonstrates understanding and application of advanced langgraph — browser automation and feedback loops.

   Sub-units

   1. ○ 2.2 Advanced LangGraph — Browser Automation and Feedback Loops Open this unit → ✓ ↻
   Open this module → Print certificate of completion