Develop GenAI Apps with Gemini and Streamlit
Offered By: Google via Google Cloud Skills Boost
Course Description
Overview
Complete the intermediate Develop GenAI Apps with Gemini and Streamlit skill badge to demonstrate skills in the following: text generation, applying function calls with the Python SDK and the Gemini API, and deploying a Streamlit application with Cloud Run. You will explore different ways to prompt Gemini for text generation, use Cloud Shell to test and iterate on a Streamlit application, and then package it as a Docker container deployed in Cloud Run. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.
Syllabus
- Develop GenAI Apps with Gemini and Streamlit
- Getting Started with the Vertex AI Gemini API with cURL
- Introduction to Function Calling with Gemini
- Getting Started with the Vertex AI Gemini API and Python SDK
- Deploy a Streamlit App Integrated with Gemini Pro on Cloud Run
- Develop GenAI Apps with Gemini and Streamlit: Challenge Lab
- Your Next Steps
- Course Badge
Tags
Related Courses
Learn Google Bard and GeminiUdemy Gemini and the Future of Generative AI Tools - Interview with Simon Tokumine
TensorFlow via YouTube Gemini and GPT Sales Agents with RAG - Comparison and Implementation
echohive via YouTube Building a Streamlit Interface for Unified Chat with Multiple LLMs
echohive via YouTube Gemini 1.5 Pro for Code - Building LLM Agents with CrewAI
Sam Witteveen via YouTube