Understanding Foundational AI Concepts with Amazon Bedrock

BEGINNER
155 minutes
5 tasks

In this lab, you will explore foundational AI concepts using Amazon Bedrock, a service that enables the easy integration of AI capabilities into your applications. By the end of this lab, you will understand the basics of AI and learn how foundation models are used in practice to derive insights from data.

Scenario

As a data scientist at a tech startup, you are tasked with evaluating Amazon Bedrock for deploying foundation models that can enhance your company’s data analytics capabilities. You will create a flow that interacts with Bedrock to analyze text data and extract meaningful insights.

Learning Objectives

  • Define basic AI concepts and terminologies.
  • Understand the practical use cases for foundation models.
  • Demonstrate how to configure and use Amazon Bedrock for data insight extraction.

tasks (5)

task 1: Set up Amazon Bedrock and explore its features

25 min

task 2: Integrate Bedrock with a dataset to extract insights

35 min

task 3: Analyze insights and document findings

40 min

task 4: Set up real-time monitoring of workflow using AWS CloudWatch

30 min

task 5: Implement IAM Role for Bedrock Access

25 min

Prerequisites

  • Basic understanding of AWS services and the AWS Management Console

Skills Tested

Understanding foundational AI concepts and terminologiesConfiguring and using Amazon Bedrock for AI tasksIntegrating datasets with AI models