hands-on lab

M3: Building Single Agent Systems

Difficulty: Intermediate
Duration: Up to 1 hour and 30 minutes
Students: 17
On average, students complete this lab in20m
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'll learn how to build a simple AI agent equipped with a tool and short memory using LangGraph and OpenAI's GPT-4o-mini.

Learning objectives

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

  • Build simple AI agents using LangGraph and OpenAI models

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. Starting the Notebooks