Multi-Agent Systems with CrewAI & LangGraph → HANDS-ON LAB

Expand all sectionsCollapse all sections

Module 1 : Multi-Agent Design Principles
Understand the fundamentals of multi-agent systems — why they exist, how agents collaborate, and the design principles that separate a robust system from a fragile one.
4
Module 2: CrewAI Deep Dive
Objective: Build collaborative, role-based agent systems using CrewAI, from core concepts through error handling.
6
LangGraph Control Flow & State
Objective: Manage complex agent workflows using LangGraph's graph-based state machine model — precise control flow, persistent state, and advanced execution patterns.
5
Module 4: Hybrid Architectures
Objective: Combine CrewAI and LangGraph — and integrate external tools — into a single, optimized production architecture
4
Module 5: Capstone Project
Objective: Build a complete, end-to-end multi-agent system that synthesizes design principles, CrewAI, LangGraph, and hybrid architecture into a single portfolio-ready deliverable.
4

This content is protected, please and enroll in the course to view this content!

Testing & Demo: Validate Outputs & Present the System