hands-on lab

M5: Equipping Agents with Tools

Difficulty: Intermediate
Duration: Up to 1 hour and 30 minutes
Students: 10
Get guided in a real environmentPractice with a step-by-step scenario in a real, provisioned environment.
Learn and validateUse validations to check your solutions every step of the way.
See resultsTrack your knowledge and monitor your progress.

Description

In this lab, you will learn how to build a minimal LangGraph swarm system with agents equipped with tools using LangGraph and OpenAI's GPT-4o-mini model.

Learning objectives

Upon completion of this lab, you will be able to:

  • Configure agents to use tools with memory
  • Integrate external tools like search engines and dataframes
  • Prototype a realistic agentic workflow that handles reasoning, memory, and actions

Intended audience

  • AI Engineers

Prerequisites

Completion of previous modules is highly recommended before attempting this lab.

Covered topics

Hands-on Lab UUID

Lab steps

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  1. Preparing the Notebook