Building Gen AI Apps with Gemini and Streamlit

I recently completed the "Develop GenAI Apps with Gemini and Streamlit" course as part of the Google GenAI Exchange Program. This course focused on building interactive, user-friendly GenAI applications by combining Gemini, a powerful language model, with Streamlit, a framework for quickly developing web apps. Through hands-on practice, I learned how to integrate Gemini’s natural language understanding capabilities into Streamlit apps, enabling them to generate dynamic and relevant responses. Streamlit made the process of building these applications faster and more intuitive by offering simple tools to create interactive user interfaces. By the end of the course, I gained the skills to deploy AI-powered apps that can handle user input, process data, and generate real-time results—all with minimal code. This has opened up new possibilities for creating intelligent, real-world applications that leverage the power of Gemini and Streamlit.

May 5, 2025 - 17:13

Building Gen AI Apps with Gemini and Streamlit

I recently completed the "Develop GenAI Apps with Gemini and Streamlit" course as part of the Google GenAI Exchange Program. This course focused on building interactive, user-friendly GenAI applications by combining Gemini, a powerful language model, with Streamlit, a framework for quickly developing web apps.

Through hands-on practice, I learned how to integrate Gemini’s natural language understanding capabilities into Streamlit apps, enabling them to generate dynamic and relevant responses. Streamlit made the process of building these applications faster and more intuitive by offering simple tools to create interactive user interfaces.

By the end of the course, I gained the skills to deploy AI-powered apps that can handle user input, process data, and generate real-time results—all with minimal code. This has opened up new possibilities for creating intelligent, real-world applications that leverage the power of Gemini and Streamlit.