Rajinikanth Vadla Training
MLOps training for production machine learning
MLOps training teaches you to ship models reliably: experiment tracking, versioning, deployment, monitoring and automated retraining. This is Module 2 of the complete masterclass.
You learn MLflow, DVC, feature stores, FastAPI serving, ML CI/CD and drift detection with real labs. The curriculum mirrors what MLOps engineer job descriptions ask for in 2026.
Rather than a fragmented short course, MLOps is taught as part of a full job-ready program that starts with DevOps and ends with AI agents and capstone projects.
- ✓MLflow and experiment tracking
- ✓Model deployment on Kubernetes
- ✓ML CI/CD pipelines
- ✓Drift detection and monitoring
- ✓Kubeflow and SageMaker pipelines