MLOps Courses and Certifications

MLOps Platforms: Amazon SageMaker and Azure ML

56 ratings at Coursera

Learn to build, train, and deploy ML solutions using Amazon SageMaker and Azure ML. Gain hands-on experience with data engineering, modeling, and MLOps on leading cloud platforms.

• Coursera
• 1 day 7 hours 9 minutes
• On-Demand
• Paid Course

Machine Learning Operations (MLOps): Getting Started

481 ratings at Coursera

Learn MLOps tools and best practices for deploying, evaluating, monitoring, and operating production ML systems on Google Cloud, enabling continuous improvement and efficient model deployment.

• Coursera
• 3 hours 32 minutes
• On-Demand
• Paid Course

Beginner to Advanced MLOps on GCP-CI/CD, Kubernetes Jenkins

459 ratings at Udemy

Simply streamline ML pipelines with Kubernetes, GitLab CI, Jenkins, Prometheus, Grafana, Kubeflow & Minikube on GCP.

• Udemy
• 2 days 6 hours 39 minutes
• On-Demand
• Paid Course

Introducing MLOps: From Model Development to Deployment (AI)

442 ratings at Udemy

A Practical Guide to Building, Automating, and Scaling Machine Learning Pipelines with Modern Tools and Best Practices

• Udemy
• 1 hour 49 minutes
• On-Demand
• Paid Course

Ultimate DevOps to MLOps Bootcamp - Build ML CI/CD Pipelines

283 ratings at Udemy

From Data to Deployment — Learn MLOps by Building a Real-World Machine Learning Project with MLflow, Docker, Kubernetes

• Udemy
• 11 hours 34 minutes
• On-Demand
• Paid Course

Python Programming for MLOps - Production Environment - 2025

76 ratings at Udemy

Optimize MLOps, AIOps, and DevOps Workflows with Python - Essential skills for productionalization

• Udemy
• 17 hours 15 minutes
• On-Demand
• Paid Course

Microcredential

Machine Learning Engineering for Production (MLOps)

Develop production-ready ML systems: conceptualize, build, and maintain integrated solutions that handle evolving data, operate continuously, and balance cost with performance for real-world AI applications.

• Coursera
• 17 weeks, 6 hours a week
• On-Demand
• Paid Course
• 4 courses

Pragmatic AI Labs

Python Fundamentals for MLOps

Master Python for Seamless MLOps: From Fundamentals to Automation and Workflow Efficiency.

• edX
• 5 weeks, 3-6 hours a week
• On-Demand
• Free Online Course (Audit)

Pragmatic AI Labs

DevOps, DataOps, MLOps

Streamline AI Operations: Leverage DevOps, DataOps, and MLOps for End-to-End Machine Learning Solutions.

• edX
• 4 weeks, 3-6 hours a week
• On-Demand
• Free Online Course (Audit)

Coursera

Operationalizing ML Models: MLOps for Scalable AI

Master MLOps practices to transform ML prototypes into scalable, production-ready systems using Docker, MLflow, and Kubernetes. Automate deployments, monitor performance, and optimize AI infrastructure for robust applications.

• Coursera
• 3 hours 40 minutes
• On-Demand
• Paid Course

Learn MLOps for Machine Learning

Discover how to streamline ML workflows with DVC, MLFlow, and AWS tools for tracking experiments, versioning data, and automating model deployment processes.

• Coursera
• 6 hours 39 minutes
• On-Demand
• Paid Course

Packt

DevOps to MLOps Bootcamp– Build & Deploy ML Systems

Master the complete MLOps lifecycle from development to production deployment using Docker, Kubernetes, MLflow, and GitHub Actions through hands-on house price prediction project.

• Coursera
• 14 hours 22 minutes
• On-Demand
• Paid Course

Pragmatic AI Labs

MLOps Platforms: Amazon SageMaker and Azure ML

Elevate Your MLOps Game: Master AWS SageMaker and Azure ML for Production-Ready AI Solutions.

• edX
• 4 weeks, 3-6 hours a week
• On-Demand
• Free Online Course (Audit)

MLOps and responsible AI practices

Master MLOps and responsible AI practices on Azure, implementing CI/CD pipelines, monitoring, and ethical frameworks for production-ready generative models.

• Coursera
• 21 hours 50 minutes
• On-Demand
• Paid Course

Pragmatic AI Labs

Cloud Machine Learning Engineering and MLOps

Unleash the power of machine learning with engineering best practices, AutoML, and emerging technologies.

• edX
• 4 weeks, 3-6 hours a week
• On-Demand
• Free Online Course (Audit)