Gemini Chatbot Challenge: Build Web Apps with Streamlit

Want to build your own custom AI assistant but do not know where to start? Creating interactive web applications around large language models is one of the most in-demand skills in software development today. In this comprehensive written guide, you will transition from a beginner to confidently developing your own conversational AI applications. You will learn how to connect Python code to the Gemini API, manage chat history, and design a clean web interface using Streamlit. What you will learn: Understand the foundational concepts of conversational AI, API communication, and web state. Configure and secure your API keys using modern environment variable practices. Build a responsive web-based chat interface from scratch using Streamlit. Manage conversational state and chat history to maintain context during user interactions. Apply basic prompt engineering techniques to customize your chatbot's behavior and personality. Implement error handling to manage rate limits and network issues gracefully. The course starts with essential definitions and environment setup before guiding you step-by-step through writing Python code, integrating the model, and launching your web application interface. This course is designed for beginner Python developers and tech enthusiasts eager to explore AI development; no prior experience with APIs or web frameworks is required. Read through the challenges, write the code, and launch your first AI chatbot today.