Deploy and Scale AI Models with Cloud Run
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
📰
📰
📰
📰
The Matrix of STL: C++ Data Structures Every Competitive Programmer Needs
Dev.to · Timevolt
typeof null is "object" — a bug from 1995 nobody can fix
Dev.to · Parth
Commit Chronicles—Your Obsession Leaves a Trail. Mine Gives It a Plot.
Dev.to · Ashley Childress
What is Machine Learning ? A Complete Beginner’s Guide
Medium · AI
🎓
Tutor Explanation
DeepCamp AI