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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.

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

    Introduction to Amazon Bedrock for Generative AI - Hands-On Lab - CertiPass