MLOps Courses and Certifications

Data Science Dojo

Navigating the MLOps Landscape

and Q&A. Learn about ML Ops, version control, security, open source and more through an in-depth look at ultra-large scaling ad auction systems.

• YouTube
• 56 minutes
• On-Demand
• Free Online Course

MLOps (Machine Learning Operations) Fundamentals

This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud.

• Pluralsight
• 5 hours 24 minutes
• On-Demand
• Free Trial Available

MLOps (Machine Learning Operations) Fundamentals

This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud.

• Pluralsight
• 5 hours 33 minutes
• On-Demand
• Free Trial Available

Data Science Dojo

Putting MLOps into Practice

Data Science Dojo offers a concise guide to implementing MLOps, covering best practices, reference architectures, and hands-on examples in under an hour.

• YouTube
• 47 minutes
• On-Demand
• Free Online Course

Data Science Dojo

MLOps Crash Course for Beginners

Data Science Dojo offers a crash course on MLOps for beginners, teaching the creation and deployment of reproducible MLOps pipelines, continuous training, and model deployment in 1-2 hours.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Online Course

Pragmatic AI Labs

MLOps Platforms From Zero - Databricks, MLFlow-MLRun-SKLearn

Learn to create MLOps platforms using Databricks, AutoML, SKLearn, and AWS with Pragmatic AI Labs. This 2-3 hour material covers from project initiation to model deployment.

• YouTube
• 2 hours 26 minutes
• On-Demand
• Free Online Course

Pragmatic AI Labs

MLOps Masterclass - Theory to DevOps to Cloud-Native to AutoML

Master the transition from theory to DevOps to MLOps platforms with Pragmatic AI Labs. Learn about cloud-native workflows, platform automation, and AutoML in just 2-3 hours.

• YouTube
• 2 hours 36 minutes
• On-Demand
• Free Online Course

MLOps - Unifying MLOps at Microsoft

Explore MLOps fundamentals, approaches, and architectures with Microsoft experts in under an hour. Includes demos and insights into Azure's unified MLOps.

• YouTube
• 48 minutes
• On-Demand
• Free Online Course

AI Show Live - Unifying MLOps at Microsoft

Explore MLOps fundamentals, approaches, and architectures with Microsoft experts in a 2-3 hour livestream, including demos and Q&A.

• YouTube
• 2 hours 4 minutes
• On-Demand
• Free Online Course

Data Professor

MLOps 101 - A Practical Tutorial on Creating a Machine Learning Project with DagsHub

Learn to use DagsHub for machine learning projects in a practical, step-by-step tutorial by Data Professor. Less than 1-hour workload.

• YouTube
• 28 minutes
• On-Demand
• Free Online Course

Aleksa Gordić - The AI Epiphany

What Is MLOps and How to Get Started - MLOps Series

Learn to build an ML-powered app with high automation in under an hour with Aleksa Gordić from The AI Epiphany.

• YouTube
• 40 minutes
• On-Demand
• Free Online Course

Building a Reproducible Model Workflow

Learn to build reproducible ML workflows, covering data exploration, validation, training, and deployment. Includes a project on short-term rental prices in NYC.

• Udacity
• 4 weeks, 5-6 hours a week
• On-Demand
• Paid Course

Machine Learning Operations (MLOps): Getting Started

This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud.

• Pluralsight
• 1 hour 3 minutes
• On-Demand
• Free Trial Available

MLOps (Machine Learning Operations) Fundamentals

This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud.

• Pluralsight
• 5 hours 33 minutes
• On-Demand
• Free Trial Available

Krish Naik

End to End MLOPS Data Science Project Implementation With Deployment

Learn to implement end-to-end data science projects with MLflow and deploy on AWS EC2 using GitHub action in a 2-3 hour program by Krish Naik.

• YouTube
• 2 hours 33 minutes
• On-Demand
• Free Online Course