Machine Learning Operations (MLOps) with Vertex AI: Manage Features

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Machine Learning Operations (MLOps) with Vertex AI: Manage Features

Coursera · Beginner ·📐 ML Fundamentals ·1mo ago
This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Learners will get hands-on practice using Vertex AI Feature Store's streaming ingestion at the SDK layer.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

7 Common Java Streams Mistakes and How to Avoid Them
Learn to avoid common Java Streams mistakes and improve your coding skills
Medium · Programming
Implementing an Item-Based Recommendation System from Scratch in Python
Learn to implement an item-based recommendation system from scratch in Python for personalized suggestions
Medium · Machine Learning
Implementing an Item-Based Recommendation System from Scratch in Python
Learn to build an item-based recommendation system from scratch in Python for personalized user experiences
Medium · Data Science
The Threshold Is a Business Decision, Not a Statistical One
Learn how to build a production-grade fraud detection system and why statistical thresholds are business decisions, not just statistical ones
Medium · Machine Learning
Up next
Capstone Assignment
Coursera
Watch →