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Introduction to Amazon Bedrock for Generative AI

BEGINNER
110 minutes
5 tasks

In this hands-on lab, you will explore Amazon Bedrock, a foundational service for building generative AI applications. You will learn how to access pre-built models, configure basic lifecycle concepts, and understand the benefits of using Amazon Bedrock for AI solutions.

Sandbox access coming soon

Scenario

A technology consultant has been tasked with developing a prototype generative AI application for a client using Amazon Bedrock. The application should demonstrate how foundation models can be leveraged to automate text generation tasks for business use.

Learning Objectives

  • Understand the basic features of Amazon Bedrock.
  • Learn how to access and utilize pre-built generative AI models.
  • Explore configuration and deployment of generative AI models.

tasks (5)

task 1: Access Amazon Bedrock and explore available models

20 min

task 2: Configure a foundation model for text generation

30 min

task 3: Deploy the configured model on Amazon Bedrock

25 min

task 4: Evaluate the deployed model's performance and feedback

15 min

task 5: Discuss cost implications and AWS advantages for using Bedrock

20 min

Prerequisites

  • •Basic understanding of AI and ML concepts
  • •Familiarity with AWS Management Console

Skills Tested

Understanding foundational generative AI conceptsIdentifying potential use cases for generative AI modelsDescribing AWS services and features for generative AI applications

References