Infrastructure for MLOps
You can learn how to build and manage infrastructure for ML
In this course, you’ll learn how to build and manage the infrastructure that runs Machine Learning in real projects. While data scientists build models, MLOps Engineers make sure those models run safely, at scale, and without surprises.
We’ll cover what ML infrastructure is, why it matters, and how to set up systems for running, serving, and supporting ML tasks. You’ll learn how to manage resources like compute, storage, and networks, and how to make everything stable, repeatable, and easy to maintain.
This course is not about training models. It’s about everything around them – running models in production, managing versions, and building systems that grow with your projects.
What you’ll learn
✓ Understand how Docker and Kubernetes help run machine learning tasks in a safe and repeatable way.
✓ Work with Helm and Kustomize to organize, deploy, and update ML services inside Kubernetes.
✓ Learn to use Infrastructure as Code (IaC) tools like Terraform to create and manage your ML environment.
✓ Explore how to set up storage, compute, and networks to support ML training and model serving at scale.
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.
Infra for MLOps
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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