Learning Mastering Streamlit | Hands-on

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Free Download Mastering Streamlit | Hands-on
Published 5/2026
Created by Yogesh Raheja
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 57 Lectures ( 4h 6m ) | Size: 2.73 GB

Build Interactive Python Web Apps with Real Projects
What you'll learn
Understand the fundamentals of Streamlit and how it simplifies web app development with Python
Build interactive and modern web applications without writing frontend code
Work with Streamlit widgets, layouts, forms, charts, and media components
Create multi-page Streamlit applications with shared state management
Visualize data using built-in charts and advanced visualization libraries
Improve app performance using caching and optimization techniques
Build real-world Streamlit projects including a Data Explorer App and an AI-powered application
Deploy Streamlit applications on Streamlit Community Cloud and other deployment platforms
Requirements
Basic knowledge of Python
A computer with internet access
No frontend or web development experience required
Curiosity to build interactive applications using Python
Description
Streamlit has completely transformed how developers build data apps, dashboards, AI tools, and interactive web applications using pure Python. Instead of spending time learning complex frontend technologies, Streamlit allows you to focus on building functionality, visualizations, and user experiences quickly and efficiently.
What's in this course?
In this course, you will learn Streamlit from the ground up through practical demonstrations, hands-on coding sessions, and real-world projects.
We begin with the fundamentals of Streamlit, including environment setup, understanding how Streamlit works, and creating your very first application. From there, we gradually move into displaying content, working with widgets, designing layouts, building charts, managing application state, and creating multi-page applications.
As the course progresses, you'll build practical projects and learn how to integrate APIs securely, work with AI-powered workflows, and deploy your applications for real-world use.
Course Structure
Lectures
Live Demonstrations
Assessments
Course Content
Streamlit Fundamentals & Environment Setup
Displaying Text, Data & Media
Interactive Widgets & Forms
Layouts & UI Design
Data Visualization & Charts
Session State & Performance Optimization
Multi-Page Applications
API Integration & Secrets Management
Building Real-World Streamlit Projects
Deploying Streamlit Applications
Complete end-to-end projects
Project1 - A Data Explorer Application
Project2 - Thinknyx AI Hub - An AI-Powered Streamlit Application
By the end of this course, you'll be able to confidently build, structure, optimize, and deploy professional Streamlit applications for dashboards, AI tools, automation platforms, and data-driven workflows.
All sections include hands-on demonstrations. Learners are encouraged to set up their own environments, follow along with the exercises, and reinforce their understanding through practical implementation.
Who this course is for
Python developers who want to build web apps quickly
Data analysts and data scientists creating dashboards and visualization tools
AI/ML engineers building interactive AI applications
Beginners looking for an easy way to start web app development with Python
Students and professionals who want to learn Streamlit through practical projects
Anyone interested in building modern Python-based applications without frontend complexity
Homepage

https://www.udemy.com/course/mastering-streamlit-hands-on

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