Explore Amazon Bedrock for Foundation Models

BEGINNER
60 minutes
5 tasks

In this lab, you will explore Amazon Bedrock, a service that provides a flexible interface to access foundation models for various generative AI tasks. You'll learn how to select and deploy a pre-trained model for a specific use case, emphasizing cost-effective decision making and proper prompt engineering techniques.

Scenario

Your company plans to implement a generative AI solution that generates product descriptions from core features. For this, you need to assess and select a pre-trained model using Amazon Bedrock, focusing on cost and output quality.

Learning Objectives

  • Understand how to access foundation models using Amazon Bedrock
  • Identify suitable pre-trained models for specific AI tasks
  • Apply prompt engineering techniques to improve model output
  • Evaluate model performance effectively utilizing cost considerations

tasks (5)

task 1: Access Amazon Bedrock and Explore Available Models

15 min

task 2: Implement Prompt Engineering Techniques

20 min

task 3: Evaluate Model Performance and Cost

25 min

task 4: Document Suggested Applications of Foundation Models

20 min

task 5: Finalize Presentation of Findings

30 min

Prerequisites

  • Basic understanding of AI and foundation models
  • Familiarity with AWS Management Console

Skills Tested

Selecting pre-trained models based on business needsUsing Amazon Bedrock for model deploymentApplying prompt engineering techniques