Deploy a Streamlit App Integrated with Gemini Pro on Cloud Run

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Deploy a Streamlit App Integrated with Gemini Pro on Cloud Run

Coursera · Beginner ·🧠 Large Language Models ·3mo ago

Key Takeaways

Deploys a Streamlit app integrated with Gemini Pro on Cloud Run

Original Description

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to deploy a Streamlit app integrated with Gemini Pro on Cloud Run.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Memoria – A Self‑Evolving Personal AI with Human‑like Memory
Learn how to build a self-evolving personal AI with human-like memory, enabling it to remember and reflect on past conversations
Dev.to AI
📰
Changes to LLM pricing: Novita and StreamLake
Learn about the latest price changes for Novita and StreamLake LLMs and how they impact your projects
Dev.to AI
📰
Stop Measuring AI Tokens—Start Measuring Successful Tasks
Learn to measure AI success by focusing on successful tasks, not just tokens, to improve marketing and sales automation ROI
Dev.to AI
📰
The real economics of a production LLM pipeline: resumability, cost-aware routing, and measuring when local beats the API
Learn how to optimize production LLM pipelines with resumability, cost-aware routing, and local vs API comparisons
Dev.to AI
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →