Data for MLOps

You can learn why data is core part of Machine Learning Operations

In this course, you will learn why data is a critical part of Machine Learning Operations (MLOps), and how to manage it to keep ML systems stable and ready for production. In real projects, models often fail not because of code, but because the data changes. MLOps solves this by treating data with the same care as software.

We will walk through how data flows across the ML lifecycle – from ingestion and validation to transformation, versioning, and monitoring. You’ll learn how MLOps Engineers build data pipelines that are reliable, testable, and ready to scale.

By the end, you’ll know how to manage data in production, not just once, but every day, with clear steps for governance, quality, and reproducibility.

Course Content

Start learning high demand tech skills today

About Your Instructor

Hi, I’m Alex and I’ve spent over 20 years helping well known startups and enterprises introduce innovations. I also developed and taught Cloud&DevOps part for a Master’s Degree at the University.

In this course, I’ll show you what MLOps looks like in practice – step by step, with real tools and clear guidance.

You don’t need to be an expert. If you want to understand how to start or enforce your career as MLOps Engineer, not just in theory, but in real life, this course is for you. Let’s get started.

All courses are developed by experienced instructors with over 10 years of real-world industry expertise. We focus on delivering practical, up-to-date content – not just collecting enrollments, so that every course gives you real value.

Our courses meet high academic standards, and we’re actively working on certification to ensure they align with recognized best practices.

Each course includes video lectures, hands-on labs with screen recordings, quizzes, reading materials, GitHub repository with real project code, and a capstone project. This structure is designed to help you build practical, in-demand skills and knowledge that employers care about.

However, if you’re not satisfied for any reason, you can request a refund in accordance with our Refund Policy – your satisfaction matters to us.

It’s not just skills. It’s your next chapter.

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