Observability for MLOps
You can learn the key ideas behind observability in context of ML
In this course, you will learn how observability helps Machine Learning systems run smoothly in production. ML models are not built once, they need to be checked and supported every day. Observability helps teams see what is happening, find problems early, and keep everything stable.
We will look at how to monitor data, models, and the full ML pipeline. You will learn how to track system health, model behavior, and data changes, and how to respond when something goes wrong.
This course is made for MLOps Engineers. It’s not about building models, it’s about keeping them alive and working. You’ll learn what to watch, what to measure, and how to act fast.
By the end, you’ll understand how observability fits into real MLOps work and how it helps build reliable systems at scale.
What you’ll learn
✓ Understand key observability tools and ideas to watch how ML systems work in real time.
✓Learn how to catch problems like data drift, broken pipelines, or failed predictions early.
✓ Set up dashboards and alerts to follow your models, data, and infrastructure in production.
✓ Use tools like Prometheus, Grafana, and MLflow to build a full view of your ML pipeline health.
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.
Observability for ML
Course Access
Get 12 months of access to this course, including:
- All video lectures and screencasts
- Quizzes for every section
- Capstone project to build real-world skills
- Access to all reading materials and downloadable resources
- GitHub repository with source code
Perfect for learners who want to master this topic at their own pace.
All Courses Access +
Q&A + Capstone
- Unlimited access to all current and future courses in Nubes Academy
- Participation in live Q&A sessions with Instructors
- Expert feedback and review of your Capstone projects
- Downloadable resources and GitHub repositories for every course
The best option for serious learners who wanna master real-world MLOps, FinOps, SecOps, Cloud and more, with direct expert guidance.
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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