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Building Applications Using Amazon Bedrock

via LinkedIn Learning

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Overview

Find out how you can use Amazon Bedrock to build applications for the most typical Generative AI use cases.

Syllabus

Introduction

Building Amazon Bedrock applications
What you should know
AWS setup
Set up AWS credentials

1. Key Concepts

Amazon Bedrock
LangChain
Streamlit
Retrieval-augmented generation (RAG)
Model overviews

2. Conversational Chatbot

Use case overview
Architecture review
Setting up your knowledge base
Writing the code: Knowledge base interaction
Demo: Knowledge base interaction

Coding: Adding Streamlit integration

Coding: Adding Streamlit integration
Demo: Streamlit UI

Conversation history
Coding: Supporting conversation history
Demo: Chatbot conversation history
Introduction to Amazon Kendra
Setting up the Amazon Kendra index
Coding: Amazon Kendra integration
Setting permissions for Amazon Kendra
Demo: Amazon Kendra and Amazon Bedrock integration
Agents for Bedrock
Configuring the Amazon Bedrock agent
Reviewing project files
Testing the agent in the AWS console

Cleanup for Amazon Bedrock
Continuing your application development with Amazon Bedrock

Taught by

Lee Assam

Reviews

4.7 rating at LinkedIn Learning based on 29 ratings

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