hands-on lab

Improving Agentic Systems with RAG & Prompt Engineering

Difficulty: Intermediate
Duration: Up to 1 hour and 30 minutes
Students: 12
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 explore how to use prompt engineering and RAG (Retrieval-Augmented Generation) to improve agentic system performance.

Learning objectives

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

  • Use prompt engineering and RAG to improve agentic system performance

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