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

Übersicht

Join the lab on exploring generative AI use cases with LangChain and Amazon Bedrock. This hands-on experience walks you through Jupyter notebooks where you will make API calls to generative AI models hosted on Amazon Bedrock.

Your journey involves generating and summarizing text, answering questions, and building a chatbot using these powerful tools.

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.
• Comfort 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

Provided by AWS Skill Builder, this course falls under multiple categories including Python, generative AI, chatbot, LangChain, Amazon Bedrock, code generation, and text generation.

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