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.

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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

See full MLOps syllabus →WhatsApp for details

YouTube · Rajinikanth Vadla

MLOps training videos

Real class recordings from Rajinikanth Vadla — embedded directly from YouTube.

MLOps, LLMOps, AIOps & AI Agents Course | Build Real Enterprise AI Systems

Overview of Rajinikanth Vadla's job-ready MLOps, LLMOps, AIOps and AI Agents masterclass — how the live course builds real enterprise AI systems.

DAY-02 | MLOps, LLMOps, AIOps, AI Agents Course | Job Ready

Day 02 live class from the MLOps and AI Agents job-ready course covering the full stack from MLOps through agentic operations.