Build AI Applications with Streamlit

Overview

In this Streamlit course, you'll learn to create interactive dashboards and deploy machine learning models through intuitive Python interfaces. You'll master essential Streamlit components including widgets, layouts, and session state management, then integrate real AI models from Hugging Face to build production-ready applications.

By the end of this Streamlit course, you'll understand how to visualize data, manage application state, connect to databases, and deploy your apps to Streamlit Cloud. Whether you're building prototypes or production tools, you'll gain the practical skills to transform Python scripts into engaging web applications that showcase your AI models.

Syllabus

• Build AI Applications with Streamlit: Learn Streamlit to build interactive AI applications from scratch with Python.
Lesson: Build AI Applications with Streamlit
Article: Deploying AI applications to Streamlit Community Cloud
Project: Build an AI Image Classification Dashboard with Streamlit
Quiz: Build AI Applications with Streamlit Quiz
Informational: Build AI Applications with Streamlit Next Steps

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Subjects

Programming