MLOps Specialization · 29,000+ engineers · 190 countries
The MLOps learning path built from what production systems actually require.
8 structured courses for DevOps, platform, and software engineers who need to own production ML systems — not just understand the theory. The curriculum was validated against 205 real MLOps job descriptions before a single lesson was recorded.
3 courses are live now. Courses #4–#8 are releasing through 2026. Start today and continue the path as it grows.
The learning path
MLOps Specialization — 8 courses from field overview to security & compliance
Each course covers one domain of production ML engineering. Take them individually or work through the full path. A certificate is awarded for each course you complete.
What makes this different
Three things we do that generic MLOps courses don’t.
Curriculum validated against real job descriptions
The MLOps Specialization was validated against 205 real MLOps job postings before the first lesson was planned. Every module maps to skills that appear in senior MLOps roles. If it’s not in the job descriptions, it’s not in the course.
One running project across multiple courses
The Customer Churn Prediction Service runs through the specialization as a continuous project thread. You see how each new concept — CI/CD, observability, security — applies to the same real system, not to disconnected toy examples that disappear after each module.
Built by someone still doing the work
Alex is an active IT consultant advising startups and enterprises on ML system architecture alongside building Nubes Academy. The courses reflect what production systems require in 2025 — not what they required when the course was last updated five years ago.
Available now
Start today. These three courses are live.
Three courses available now. The remaining five release through 2026. Every enrolment includes 2 years of access — you won’t need to wait for new courses.
Your instructor
20 years in production engineering. Every course reflects it.
I’m an independent IT consultant who has spent over 20 years across system administration, software development, architecture, and technical leadership — advising startups and enterprises on the decisions that determine whether ML systems work reliably in production.
Nubes Academy started while I was teaching DevOps and Cloud at Master’s level at a Ukrainian university, where I saw the same gap in every cohort: engineers who understood the theory but couldn’t operate a real production system. The courses here are my answer to that gap — built from what production actually requires, validated against what employers actually hire for.
For engineering teams
Training 5–20 engineers? Corporate licences are available.
Team licences include full specialization access, a manager progress dashboard, an instructor kickoff session, and volume pricing. From €800 per seat per year.
Common questions
What you want to know before starting
More questions? Read more about the platform or email us directly.
Stay ahead
New courses.
Subscriber price.
Always first.
- Course launch notifications — Courses #4 through #8 will notify subscribers first, with subscriber pricing at launch, before any public announcement
- MLOps job market insights — what skills employers are hiring for at mid, senior, and lead MLOps level, updated as the market evolves
- Free practical content — guides, deep dives, and resources for engineers building and operating production ML systems
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