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Starts 1 July 2025 17:36
Ends 1 July 2025

Build a question-answering bot using generative AI
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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.