August 2024
Intermediate
1h 15m
English
Closed Captioning available in German, English, Spanish, French, Japanese, Korean, Portuguese (Portugal, Brazil), Chinese (Simplified), Chinese (Traditional)
Overview
This course is an introduction to designing and implementing production machine learning (ML) systems that will give students the skills necessary to architect and deploy ML solutions. This course is for anyone with at least 1 year of experience working with data and ML looking to deliver real business value with ML in real, enterprise software systems.
Using foundational system design, data engineering, and ML engineering principles, students will learn the practical skills necessary to build end-to-end ML systems. This course covers practical tactics for engineering training data, features and data pipelines to deploying and monitoring ML models for real-time inference in production.
What you’ll learn and how you can apply it
- Explain, design and implement components of a production ML system
This course is for you because…
- You're an ML practitioner interested in learning to take your models from development to production, enterprise systems.
- You're a software engineer looking for the specific experience required to design and build ML-powered systems.
- You're an ML enthusiast looking for the theoretical and practical skills required to train, evaluate, deploy and monitor models in real-world settings.
Prerequisites:
- 1-2 years exposure to ML workflows in an enterprise setting
- Beginner knowledge of systems design concepts
- Beginner knowledge of data engineering concepts
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Watch now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.