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MLOps - Machine Learning Operations
Take ML Models from Notebook to Production
Master MLOps and productionize machine learning. Learn ML pipelines, experiment tracking (MLflow), model registry, CI/CD for ML, containerization, model serving, monitoring, and drift detection with Docker, Kubernetes and the cloud.
4.9(210)890+ students890+80 hours • 10 weeks80h • 10 weeks
Course Curriculum
1ML Lifecycle & Tracking3 weeks
- ML lifecycle
- MLflow
- Experiment tracking
- Model registry
- Reproducibility
2Packaging & Serving4 weeks
- Docker for ML
- FastAPI / BentoML
- Kubernetes serving
- Batch vs online
- Scaling
3Automation & Monitoring3 weeks
- CI/CD for ML
- Feature stores
- Monitoring
- Drift detection
- Capstone MLOps pipeline
⚙️
MLOps - Machine Learning Operations
10 weeks • Advanced
Live Online + 1-on-1 Training
- 80+ hours live content
- 10 weeks duration
- 6 hands-on projects
- Certificate included
- Doubt support
- Lifetime access
✅ Lifetime access • ✅ Job assistance
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❓ FAQ
Frequently Asked Questions
Common questions about MLOps - Machine Learning Operations
In this course, you will learn: Understand the end-to-end ML lifecycle, Track experiments and version models, Build CI/CD pipelines for ML. The course covers 80+ hours of content across 3 comprehensive modules.
The prerequisites for this course are: Python & ML fundamentals (or our Data Science course), Basic DevOps concepts. If you're unsure about your current level, book a free demo session and our counselors will guide you.
The MLOps - Machine Learning Operations course is 10 weeks long with 80+ hours of hands-on content. You'll work on 6 real-world projects. You also get lifetime access to all recordings and materials.
This course is taught live by experienced industry professionals who work hands-on with these technologies every day. You learn current, real-world practices with live mentorship, code reviews and an optional 1-on-1 track.
After completing the MLOps - Machine Learning Operations course, you can apply for roles like: MLOps Engineer (₹12-45 LPA), ML Platform Engineer (₹16-50 LPA), ML Engineer (₹14-45 LPA). Our students have been placed at companies like Google, Microsoft, Nvidia.
Yes! We provide comprehensive placement assistance including resume building, LinkedIn profile optimization, mock interviews (technical + HR), coding round preparation, and direct job referrals to our network of 100+ hiring partners. Our placement rate is 95%.
Yes — all training is 100% live online, with an optional 1-on-1 (1:1) track. You get live interactive sessions, screen sharing, instant doubt resolution, recorded sessions for revision, and full placement support.
All our courses are non-refundable. We encourage you to attend a free demo session before enrolling to ensure the course is right for you. In exceptional cases, one-time batch transfer may be allowed with management approval.
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