Your team just built a killer machine learning model. It crushes benchmarks on your laptop. But six months later? It’s still not in production. Data drifts, pipelines break, and the business is asking, “Where’s the ROI?”
That’s the MLOps gap — and it’s costing companies millions. In 2025, 85% of AI projects fail to deploy (Gartner). The fix? MLOps — the bridge between data science and real-world impact.
Enter the MLOps Certified Professional (MLOCP) course by DevOpsSchool. This isn’t theory. It’s hands-on training that teaches you to build, deploy, monitor, and scale ML systems like the pros at Google, Netflix, and Uber.
Let’s walk through why this MLOps certification is your fastest path to shipping AI that works — in production, not just in Jupyter.
From Notebook to Production in 30 Days
The MLOps Certified Professional (MLOCP) is a live, instructor-led program (30–35 hours) packed with real projects, CI/CD pipelines, and cloud-native tools. No death by PowerPoint. You’ll code, break things, fix them — and ship.
What You’ll Actually Build:
- A full ML pipeline from data ingestion to prediction API
- Automated retraining with data drift detection
- Model monitoring dashboards using Prometheus + Grafana
- Canary deployments for ML models in Kubernetes
Tools You’ll Master:
| Category | Tools |
|---|---|
| Data | DVC, Delta Lake, Great Expectations |
| Training | MLflow, Kubeflow, TFX |
| Deployment | Docker, Kubernetes, Seldon Core |
| Monitoring | Prometheus, Grafana, Evidently AI |
| Cloud | AWS SageMaker, GCP Vertex AI, Azure ML |
Why This Beats Free Tutorials:
| Feature | DevOpsSchool MLOCP | YouTube / Blogs |
|---|---|---|
| Live Project Guidance | Yes | No |
| 80+ Hands-On Labs | Yes | No |
| End-to-End Capstone | Yes | No |
| 200+ Interview Qs | Yes | No |
| Lifetime LMS Access | Yes | No |
You’re not just learning what MLOps is — you’re doing it, with feedback from a 20-year veteran.
Who Should Enroll?
This MLOps training is built for action-takers:
- Data Scientists tired of “research-only” models
- ML Engineers ready to own the full lifecycle
- DevOps Engineers adding AI to their toolkit
- Tech Leads building AI-first teams
- Fresh Grads aiming for 6-figure MLOps roles
- Teams (save 25% for 7+ enrollments)
Zero MLOps experience? No problem. We start with Python + Git, then scale to Kubeflow on EKS.
Learning Outcomes: What You’ll Walk Away With
By day 30, you’ll be able to:
- Version data & models like code with DVC and MLflow
- Automate training pipelines using Kubeflow and GitHub Actions
- Deploy models as APIs with Docker + FastAPI + Seldon
- Monitor drift & performance with Evidently AI and Grafana
- Pass the MLOCP exam (90% first-time pass rate)
- Land MLOps interviews with a GitHub portfolio that screams “hire me”
Here’s your module-to-cert roadmap:
| Module | Key Skills | MLOCP Exam Weight | Capstone Focus |
|---|---|---|---|
| MLOps Fundamentals | Git, DVC, MLflow | 15% | Data Versioning Pipeline |
| CI/CD for ML | GitHub Actions, Jenkins | 20% | Auto-Retrain on Push |
| Model Deployment | Docker, K8s, Seldon | 25% | A/B Testing API |
| Monitoring & Governance | Evidently, Prometheus | 20% | Drift Alert Dashboard |
| Scaling & Security | Kubeflow, IAM, Vault | 20% | Multi-Region Failover |
Why DevOpsSchool? Because Results > Resumes
DevOpsSchool.com isn’t just a training platform — it’s a career launchpad. We’ve certified 8,000+ pros in DevOps, Cloud, and now MLOps, with a 4.6/5 learner rating.
The secret? Rajesh Kumar.
- 20+ years shipping production systems globally
- Trained teams at Fortune 500s and unicorns
- Runs Rajesh Kumar — a DevOps bible for 100K+ monthly readers
- Teaches like a mentor, not a lecturer
“Rajesh doesn’t just explain Kubeflow — he shows you how to debug it at 2 AM when prod is down.” – MLOCP Batch 12
You get:
- Lifetime LMS + Slack community
- Custom capstone reviews
- Mock interviews with real hiring managers
Career Benefits: From “AI Hobbyist” to “MLOps Lead”
MLOps engineers are the new unicorns. Demand is up 320% YoY (LinkedIn 2025).
| Role | India Salary | USA Salary |
|---|---|---|
| MLOps Engineer | ₹18–35 LPA | $130K–$170K |
| Senior ML Engineer | ₹30–50 LPA | $160K–$220K |
| AI Platform Lead | ₹40L+ | $200K+ |
Our grads work at:
- JPMorgan, Walmart Labs, Flipkart
- Stealth AI startups (Series B+)
- Big 4 consulting (AI transformation projects)
One alum went from data analyst → MLOps lead in 9 months, with a 110% salary jump. His edge? The capstone project now live in production.
Ready to Ship AI That Matters?
You’ve got the model. Now get the ops.
The MLOps Certified Professional (MLOCP) isn’t another certificate to collect dust. It’s your blueprint to production-grade AI.
Enroll today and get:
- Live training with Rajesh Kumar
- 80+ labs + capstone project
- Interview kit + job referrals
- MLOCP + DevOpsSchool Master Cert
Let’s Build Something Real:
✉️ contact@DevOpsSchool.com
📞 +91 99057 40781 (India)
📞 +1 (469) 756-6329 (USA)
