Course · Intermediate
Designing Dynamic Python Applications with Streamlit
Step into the world of interactive application development with our course on Streamlit. This intermediate-level course is designed to guide you through the intricacies of the Streamlit framework, emphasizing the integration of AI technologies for creating web applications. Starting from the basics of Streamlit, the course progresses to advanced concepts, such as implementing session state and integrating AI models for dynamic chatbot responses.
- Intermediate friendly
- 4 hrs
- 3 lessons
- 1 project
- Premium
Course overview
Design interactive Python applications with Streamlit by creating dynamic interfaces, managing state, and integrating LLM-powered chat features.
What's inside
3 lessons · 1 project
- 01 58 minGetting Started with Streamlit
<p>Learn the basics of the Streamlit framework by creating an application skeleton with fundamental elements like buttons, text, and titles.</p>
- 02 120 minEnhancing User Experience with Streamlit Layout Features
<p>Expand your knowledge of Streamlit by incorporating intermediate elements such as sidebars, columns, and other layout features to enhance your application's user interface.</p>
- 03 120 minState Management and Dynamic Interactions with Streamlit
<p>Learn to add interactive elements such as session state and chat inputs in Streamlit to manage user inputs and responses dynamically. </p>
- 04 4 minGuided Project: Building an AI Chatbot with Streamlit Project
For this project, you'll step into the role of a Python developer to integrate an AI chatbot with a Streamlit user interface, allowing users to interact with your "Sassy Chatbot" through a public web app.
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