Déployer et adapter des modèles d'IA avec Cloud Run

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Déployer et adapter des modèles d'IA avec Cloud Run

Coursera · Beginner ·📐 ML Fundamentals ·1mo ago
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 Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Python Programming Course in Delhi
Learn Python programming with a practical course in Delhi, designed for beginners and students
Medium · Python
Choosing the Right Architecture: A Software Engineer’s Field Guide to Neural Networks
Learn to choose the right neural network architecture for your AI project and understand the key considerations involved
Medium · Data Science
Chandra OCR 2: When Open Source Reads What Others Miss
Improve text extraction from documents with Chandra OCR 2, an open-source solution that outperforms others in accuracy
Medium · Machine Learning
The hidden value of teaching ML to Non-ML teams
Teaching ML to non-ML teams can break knowledge silos and increase project success, making it a valuable investment for companies
Medium · Machine Learning
Up next
Think in JavaScript – The Hard & Conceptual Parts (Full Course)
freeCodeCamp.org
Watch →