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Explore Amazon Bedrock for Enterprise AI

BEGINNER
120 minutes
5 tasks

This lab introduces you to Amazon Bedrock, a key service for building generative AI applications. You'll explore how to select and configure foundation models tailored for specific business requirements.

Scenario

A company wants to leverage AI to enhance customer interactions through personalized responses. By utilizing Amazon Bedrock, you will learn how to choose the best pre-trained models and tune them for high-quality responses.

Learning Objectives

  • Understand the role of Amazon Bedrock in AI applications
  • Identify selection criteria for pre-trained models
  • Explore prompt engineering techniques for generative AI

tasks (5)

task 1: Explore and Select a Foundation Model with Amazon Bedrock

20 min

task 2: Apply Prompt Engineering Techniques to Fine-tune Responses

20 min

task 3: Evaluate Model Performance and Align with Business Objectives

30 min

task 4: Integrate a Model using Amazon Bedrock into a mock deployment scenario

30 min

task 5: Document Findings and Present Model Deployment Strategy

20 min

Prerequisites

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

Skills Tested

Choosing appropriate foundation models for AI applicationsApplying prompt engineering techniques to improve model responsesEvaluating AI model performance using industry metricsUnderstanding model integration in simulated environmentsDocumenting and strategizing AI deployment and performance metrics

References

    Explore Amazon Bedrock for Enterprise AI - Hands-On Lab - CertiPass