MLOps Courses and Certifications

MLOps for Scaling TinyML

5 ratings at edX

This course introduces learners to Machine Learning Operations (MLOps) through the lens of TinyML (Tiny Machine Learning). Learners explore best practices to deploy, monitor, and maintain (tiny) Machine Learning models in production at scale.

• edX
• 7 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Microcredential

MLOps | Machine Learning Operations

Duke University's 26-week course for programmers, data scientists, and researchers to master MLOps skills using Python, Rust, GitHub Copilot, Amazon SageMaker, Azure ML, and MLflow.

• Coursera
• 26 weeks, 5 hours a week
• On-Demand
• Paid Course
• 4 courses

Python Essentials for MLOps

116 ratings at Coursera

Duke University's 5-week course equips learners with Python skills for MLOps roles, covering basics, data science tasks, and Python scripting for MLOps automation.

• Coursera
• 1 day 19 hours 7 minutes
• On-Demand
• Free Online Course (Audit)

Cloud Machine Learning Engineering and MLOps

67 ratings at Coursera

Duke University's 3-week course focuses on applying cloud computing and data engineering to real-world machine learning projects, including MLOps and AutoML.

• Coursera
• 13 hours 32 minutes
• On-Demand
• Free Online Course (Audit)

MLOps Platforms: Amazon SageMaker and Azure ML

27 ratings at Coursera

Learn to build, train, and deploy machine learning solutions using Amazon SageMaker and Azure ML in this 5-week course by Duke University. Ideal for aspiring data scientists and software engineers.

• Coursera
• 1 day 6 hours 59 minutes
• On-Demand
• Free Online Course (Audit)

MLOps Tools: MLflow and Hugging Face

18 ratings at Coursera

Duke University's 4-week course on MLOps tools, MLflow and Hugging Face. Learn model operations, fine-tuning, and cloud deployment for a career in MLOps.

• Coursera
• 1 day 1 hour 43 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Machine Learning Engineering for Production (MLOps)

DeepLearning.AI offers a 17-week course on MLOps, blending machine learning concepts with software engineering skills. Learn to build, maintain, and optimize AI systems in production.

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

Face Recognition with Machine Learning + Deploy Flask App

434 ratings at Udemy

Create an Face Recognition project from scratch with Python, OpenCV , Machine Learning Algorithms, Flask, Heroku Deploy

• Udemy
• 10 hours 48 minutes
• On-Demand
• Paid Course

Google Cloud;  Google

Machine Learning Operations (MLOps): Getting Started

415 ratings at Coursera

Learn MLOps tools and best practices for deploying, monitoring, and operating ML systems on Google Cloud in this 2-week course. Ideal for Data Scientists and Software Engineers.

• Coursera
• 2 hours 52 minutes
• On-Demand
• Free Online Course (Audit)

MLOps - Machine Learning Operations

1 review

An Introduction to MLOps.MLOps with Azure - Hands on Session.Hands on Kubernetes for Data Scientists and Engineers. MLOps with TFX pipelines - Tensorflow Extended.ML Ops - End to End automated CI/CD pipeline for Continuous Deployment.

• YouTube
• 17 hours
• On-Demand
• Free Online Course

Demystifying Machine Learning Operations (MLOps)

50 ratings at Pluralsight

Managing the machine learning process using recommended practices is a must to enable collaboration, tracing, and real-time monitoring. This course will teach you what are the main concerns and issues you need to consider while developing a machine learn…

• Pluralsight
• 2 hours 15 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 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. MLOps is focused on the deployment, testing, monitoring, and automation of ML systems.

• Pluralsight
• 4 hours 1 minute
• 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. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML sy…

• Pluralsight
• 5 hours 25 minutes
• On-Demand
• Free Trial Available

MLOPS

Master MLOPS with this 10-hour program, covering everything from basics to deployment, including DevOps comparison and MLFlow model tracking.

• YouTube
• 10 hours
• On-Demand
• Free Online Course