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.