MLOps Certification Training Course

The Edureka MLOps Certification Training Course is designed by leading AI and DevOps professionals to bridge the gap between machine learning model development and production deployment. This hands-on course enables you to seamlessly integrate Machine Learning (ML) models with DevOps (CI/CD) principles — empowering you to automate, monitor, and manage the entire ML lifecycle efficiently.

Throughout this course, you will gain expertise in the end-to-end MLOps pipeline, covering data preprocessing, model training, version control, containerization with Docker, continuous integration using Jenkins, deployment with Kubernetes, and monitoring using Prometheus and Grafana. You’ll also explore model registries, feature stores, reproducibility, and collaboration techniques to streamline ML workflows in real-world environments.

Learners will get hands-on experience with cutting-edge tools like MLflow, Kubeflow, Airflow, TensorFlow Extended (TFX), and Azure/AWS ML Services, making you proficient in building scalable, production-ready AI systems.

By the end of this program, you’ll have the knowledge and skills to work as an MLOps Engineer, AI/ML Engineer, or DataOps Specialist — ready to implement best practices for deploying, monitoring, and maintaining ML models at scale.