Objectives

• Understand the basics of Streamlit
• Learn how to create interactive web applications
• Integrate Streamlit with data science and machine learning workflows
• Deploy Streamlit applications
• Explore Generative AI, RAG, Agents, and LangChain

Prerequisites

• Basic knowledge of Python programming and Environments
• Familiarity with data science and analytics concepts

Course Content

• Introduction to Streamlit
• Basic Streamlit Components
• Layouts and Containers
• Handling User Input
• Displaying Data
• Integrating with Machine Learning Models
• Deploying Streamlit Apps
• Introduction to Generative AI
• Working with Agents
• Using LangChain for Advanced Applications

Resources

• Streamlit Documentation
• Streamlit GitHub Repository
• Streamlit Community Forum
• LangChain Documentation
• LangChain GitHub Repository

License

This project is licensed under the MIT License. See the MIT License file for more details.