Deploy and Scale AI Models with Cloud Run

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Deploy and Scale AI Models with Cloud Run

Coursera · Beginner ·📐 ML Fundamentals ·3mo ago

Key Takeaways

Deploying and scaling AI models with Cloud Run for AI inference services

Original Description

AI inference is the process of using a trained machine learning model to make predictions on new, unseen data by applying learned patterns. This course is designed for developers, data scientists, and ML engineers interested in quickly deploying AI inference services on Cloud Run. It is useful for those familiar with cloud-based serverless application deployment solutions, but who may not have experience with running AI inference using Google Cloud serverless products. The course includes examples that deploys a model for AI inference with GPUs and integrates gen AI apps with data storage services.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

Up next
Difference between MCP & API | MCP vs API Explained | Why AI Needs MCP | Tamil | Karthik's Show
Karthik's Show
Watch →