Udemy – Streamlit : Deploy your Data & ML app on the web with Python 2023-1

Udemy – Streamlit : Deploy your Data & ML app on the web with Python 2023-1 Downloadly IRSpace

Aug 16, 2025 - 07:29 Updated: Aug 17, 2025 - 20:07

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Udemy – Streamlit : Deploy your Data & ML app on the web with Python 2023-1

Streamlit: Deploy your Data & ML app on the web with Python. This course teaches participants how to turn their machine learning models and data applications into interactive web applications using Python and the Streamlit library. This course is designed to solve a common challenge for data scientists: turning models developed in environments like Jupyter Notebooks into usable, shareable tools on the web. Streamlit allows you to build a variety of applications, such as image classification, tweet sentiment analysis, and enterprise dashboards, without requiring any web or cloud development knowledge. The instructor designed this course after successfully developing a train booking web application with a large user base. The course consists of two parts: Part One covers the basics of Streamlit, from connecting to a database to deploying to the cloud, and Part Two covers developing an S&P 500 stock analysis application by receiving data from an API. This course is suitable for those who want to turn their data projects into practical applications.

What you will learn

How to use Streamlit.
Develop and implement a data application for sharing machine learning models on the web.
Extract data in real time with an API (Yahoo Finance).
Using the cloud with Streamlit Cloud.
Creating an attractive user interface (UI/UX).
Structuring a Python program for web development.
How to optimize a Streamlit application (Cache / Session / Form…).
Using Git and Github for code versioning.
Overcome the limitations of Jupyter Notebook and bring your data projects to life.

This course is suitable for people who:

People who are passionate about data and Python: but are frustrated that they can never share their machine learning models with others.
Data scientists in companies: who want to share their machine learning work or dashboards internally with their colleagues.
Someone who has an idea for a web application project: and wants to develop an MVP (Minimum Viable Product) in a few hours.
All data scientists who start out by producing data applications.

Streamlit course specifications: Deploy your Data & ML app on the web with Python

Publisher: Udemy
Lecturer: Pierre-Louis Danieau
Training level: Beginner to advanced
Training duration: 4 hours and 34 minutes
Number of lessons: 26

Course headings

Prerequisites for Streamlit: Deploy your Data & ML app on the web with Python

A basic knowledge of the Python programming language is required to better understand the concepts covered in this training. Simple knowledge is sufficient.
No web development and/or data engineering skills are required. All concepts are covered from the beginning.
No experience in the cloud is required. You will learn everything you need to know for the deployment/production part.