MLOps Courses and Certifications

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MLOps and LLMOps: Deploying and Scaling AI in Production

Master deploying and scaling AI systems in production—covering MLOps, LLMOps, CI/CD pipelines, RAG, Kubernetes, observability, and automated evaluation with real-world tools.

• Coursera
• 17 hours 19 minutes
• Self-Paced
• Paid Course

MLOps Bootcamp: Mastering AI Operations for Success - AIOps

963 ratings at Udemy

Unlock success in AI Operations with our MLOps Bootcamp – mastering tools,techniques, AIOps for cutting-edge expertise

• Udemy
• 1 day 12 hours 31 minutes
• Self-Paced
• Paid Course

Introducing MLOps: From Model Development to Deployment (AI)

478 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
• Self-Paced
• Paid Course

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

471 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
• Self-Paced
• Paid Course

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

304 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
• Self-Paced
• Paid Course

MLOps Fundamentals: The Complete Guide to ML in Production

38 ratings at Udemy

MLOps fundamentals for real‑world: Lifecycle, pipelines, platforms, monitoring, retraining, governance & ROI explained

• Udemy
• 2 hours 21 minutes
• Self-Paced
• Paid Course

Machine Learning Operations (MLOps) for Generative AI

Uncover unique MLOps challenges for Generative AI models and explore how Vertex AI streamlines processes, empowering AI teams to achieve success in Generative AI projects.

• Google Skills
• 30 minutes
• Self-Paced
• Free Online Course

Machine Learning Operations (MLOps) with Vertex AI: Manage Features

Explore MLOps tools and best practices for deploying, evaluating, and monitoring ML systems on Google Cloud, with hands-on practice using Vertex AI Feature Store's streaming ingestion at the SDK layer.

• Google Skills
• 8 hours
• Self-Paced
• Paid Course

MLOps Course – Build Machine Learning Production Grade Projects

Learn end-to-end MLOps, from data ingestion to deployment, using tools like ZenML and MLflow. Build a customer satisfaction project with hands-on experience in pipeline creation, model development, and deployment.

• freeCodeCamp
• 3 hours 1 minute
• Self-Paced
• Free Video

Amazon Web Services;  Amazon

Digital Classroom - MLOps Engineering on AWS

Dive into MLOps Engineering on AWS, extending DevOps methodologies to build, train, and deploy machine learning models with focus on automation, monitoring, and maintaining model integrity in production environments.

• AWS Skill Builder
• 1 day
• Self-Paced
• Paid Course

MLOps Pipeline with Python, AWS, Docker - YouTube Viewer Sentiment

Master building end-to-end MLOps pipelines for real-time YouTube sentiment analysis using Python, AWS, Docker, MLflow, and DVC with Chrome extension deployment.

• freeCodeCamp
• 2 hours 51 minutes
• Self-Paced
• Free Video

Explore watsonx.ai's data science and MLOps capabilities through hands-on labs covering platform navigation, data access, no-code solutions, and model deployment.

• IBM Training
• 4 hours
• Self-Paced
• Free Online Course

Operationalize machine learning models (MLOps)

Learn end-to-end MLOps with Azure Machine Learning, covering job automation, GitHub Actions integration, feature-based development, code quality checks, environment management, and model deployment to managed endpoints.

• Microsoft Learn
• 4 hours 51 minutes
• Self-Paced
• Free Online Course

Introduction to machine learning operations (MLOps)

Learn MLOps principles, source control, automation, and continuous deployment for machine learning projects using Azure DevOps, GitHub, and Azure Machine Learning.

• Microsoft Learn
• 1 hour 58 minutes
• Self-Paced
• Free Online Course

TU Munich;  Amazon Web Services

From Zero to Hero - Digital Product Development From Scratch

84 ratings

Master digital product development through proven methodologies, from identifying user problems to creating innovative solutions using generative AI and machine learning with AWS integration.

• Coursera
• 18 hours 27 minutes
• Self-Paced
• Paid Course