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Amazon Web Services

Lab - Explore Generative AI Use Cases with LangChain and Amazon Bedrock

Amazon Web Services and Amazon via AWS Skill Builder

Overview

In this lab, you step through Jupyter notebooks and make API calls to generative artificial intelligence (generative AI) models that are hosted in Amazon Bedrock. The notebooks use Bedrock to generate and summarize text, answer questions, and build a chatbot.


Course objectives

  • Perform text generation.
  • Create text summarization.
  • Use Amazon Bedrock for question answering.
  • Build a chatbot.
  • Use Amazon Bedrock models for code generation.
  • Integrate Amazon Bedrock Models with LangChain Agents.

Prerequisites

  • A basic understanding of AWS services.
  • A comfort level with editing and testing Python scripts.

Course outline

  • Task 0: Set up the environment
  • Task 1: Perform Text Generation
  • Task 2: Create Text Summarization
  • Task 3: Use Amazon Bedrock for Question Answering
  • Task 4: Build a Chatbot
  • Task 5: Use Amazon Bedrock Models for Code Generation
  • Task 6: Integrate Amazon Bedrock Models with LangChain Agents

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