From the course: MLOps Essentials: Model Development and Integration
Getting started with MLOps
From the course: MLOps Essentials: Model Development and Integration
Getting started with MLOps
- [Instructor] The use of machine learning to improve personal lives and business outcomes has exploded in the past few years. An understanding of ML Labs is a critical skill for anyone involved in the building and managing of machine learning applications, including data scientists, engineers, managers, and product owners. My name is Kumaran Ponnambalam. In this course, I will introduce you to the essentials of ML Labs for model development and product integration. I will start off by discussing the overall ML Labs ecosystem and various activities involved in it. I will then discuss the aspects around requirements and design for building ML. Next, I will focus on applying ML Labs to data engineering and model training. I will progress further into the life cycle to using ML labs for model integration, as well as model management.
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.
