hands-on lab

Building Interactive Machine Learning and Data Science Applications With Streamlit

Beginner
Up to 1h
4
Get guided in a real environmentPractice with a step-by-step scenario in a real, provisioned environment.
Learn and validateUse validations to check your solutions every step of the way.
See resultsTrack your knowledge and monitor your progress.

Description

The Streamlit framework is an open-source Python library that offers an intuitive way to create web applications for machine learning and data science use cases. Streamlit is designed to be easy to use with minimal code, which clears the path for data scientists and machine learning engineers to focus on exploring and analyzing data and machine learning models.

In this lab, you will deploy a Streamlit application to an Amazon EC2 instance to begin interacting with the application. Using the deployed application as a reference, you will review the source code highlighting a few basic and interactive components of the Streamlit framework. You will learn how to render interactive elements and integrate Amazon S3 and Amazon Bedrock with the Streamlit application.

Learning objectives

Upon completion of this beginner-level lab, you will be able to:

  • Deploy a Streamlit application to Amazon EC2
  • Render Streamlit elements in a web application
  • Integrate Amazon S3 and Amazon Bedrock with a Streamlit application

Intended audience

  • Candidates for the AWS Certified Machine Learning Specialty certification
  • Machine Learning Engineers
  • Data Engineers
  • Software Engineers

Prerequisites

Familiarity with the following will be beneficial but is not required:

  • Amazon Bedrock

The following content can be used to fulfill the prerequisites:

Environment before

Environment after

About the author

Avatar
Jun Fritz, opens in a new tab
Cloud Labs Developer
Students
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Jun is a Cloud Labs Developer with previous experience as a Software Engineer and Cloud Developer. He holds the AWS Certified Solutions Architect and DevOps Engineer Professional certifications. He also holds the AWS Certified Solutions Architect, Developer, and SysOps Administrator Associate certifications. 

Jun is focused on giving back to the growing cloud community by sharing his knowledge and experience with students and creating engaging content. 

Covered topics

Lab steps

Logging In to the Amazon Web Services Console
Connecting to the Virtual Machine using EC2 Instance Connect
Deploying the Streamlit Application to Amazon EC2
Stepping Through the Streamlit Application