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Starts 1 July 2025 17:36

Ends 1 July 2025

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Build a question-answering bot using generative AI

This lab offers a comprehensive guide on creating a question-answering chatbot with generative AI capabilities. Utilizing stateless, retrieval augmented generation, this tutorial provides in-depth instructions on leveraging AWS Classroom courses to answer queries effectively. Objectives: Successfully completing this lab will enable participants to:.
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Overview

This lab offers a comprehensive guide on creating a question-answering chatbot with generative AI capabilities. Utilizing stateless, retrieval augmented generation, this tutorial provides in-depth instructions on leveraging AWS Classroom courses to answer queries effectively.

Objectives:

Successfully completing this lab will enable participants to:

  • Understand the application of retrieval augmented generation in enhancing Generative AI outputs.
  • Deploy a Lex chatbot integrated with a large language model for dynamic response generation.
  • Connect Langchain to Amazon SageMaker for efficient model handling.

Prerequisites:

Participants are recommended to have a technical background in:

  • Amazon SageMaker
  • Amazon Kendra
  • Amazon Lex

A familiarity with FLAN and large language models (LLMs) will be advantageous.

Audience:

This lab is designed for a diverse professional audience, including Solutions Architects, Data Engineers, Data Scientists, and Developers looking to expand their expertise in generative AI and AWS services.

Outline:

The lab encompasses the following tasks:

  • Deployment of a Large Language Model (LLM)
  • Integration of an Amazon Kendra data source
  • Creation of an Amazon Lex V2 chatbot
  • Querying your large language model endpoint
  • Implementation of a RAG (Retrieval Augmented Generation) workflow
  • Deployment of a web application using CloudFormation

Provider:

AWS Skill Builder.

Categories:

Generative AI Courses, Amazon SageMaker Courses, Amazon Lex Courses.


Subjects