Machine Learning Operations

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DevOps, DataOps, MLOps (Coursera) Coursera
Duke University

DevOps, DataOps, MLOps (Coursera)

Data Science

Dive into the world of DevOps, DataOps, and MLOps with this advanced online course designed for data scientists, software engineers, developers, and analysts. This course will equip you with the knowledge and tools needed to manage complex operations in software development, data management, and machine learning model deployment. You'll learn through practical examples using AI pair programming with GitHub Copilot, ensuring that your skills are directly applicable to solving real-world problems.

Aug 31st 2026
5-12 Weeks
Python Artificial Intelligence Machine Learning
Details
MLOps for Scaling TinyML (edX) EdX
HarvardX,Harvard University

MLOps for Scaling TinyML (edX)

Data Science Computer Science

Embark on a journey into Machine Learning Operations (MLOps) with a focus on scaling Tiny Machine Learning (TinyML). Learn best practices for deploying, monitoring, and maintaining ML models that are small enough to run on resource-constrained devices. This course is designed for developers, data scientists, and engineers who want to leverage the potential of tiny machine learning in their applications.

Self Paced
Self-Paced
Machine Learning TinyML Tiny Machine Learning
Details
Machine Learning Operations (MLOps) with Vertex AI: Manage Features (Coursera) Coursera
Google Cloud

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

CS: Information & Technology

Discover the art of Machine Learning Operations (MLOps) with our comprehensive course on Google Cloud's Vertex AI platform. Learn how to efficiently deploy, evaluate, monitor, and operate your production-level machine learning systems. Gain hands-on experience managing features using Vertex AI Feature Store's streaming ingestion at the SDK layer.

Aug 24th 2026
4 Weeks
Google Cloud Coursera Plus MLOps
Details
DevOps, DataOps, MLOps (edX) EdX
AI (Pragmatic AI Labs)

DevOps, DataOps, MLOps (edX)

Computer Science

Unlock the full potential of your machine learning projects by mastering DevOps, DataOps, and MLOps. This course will guide you through end-to-end operations, ensuring seamless integration from data collection to model deployment. Enhance your skills in automating processes, managing data pipelines, and deploying ML models efficiently.

Self Paced
Self-Paced
Machine Learning DevOps Docker
Details
MLOps Tools: MLflow and Hugging Face (edX) EdX
AI (Pragmatic AI Labs)

MLOps Tools: MLflow and Hugging Face (edX)

Computer Science

Embark on an in-depth exploration of MLOps with our course dedicated to MLflow and Hugging Face. This course is designed for data scientists and engineers looking to efficiently manage their machine learning projects from development to deployment. Discover how to leverage these powerful tools to automate the ML lifecycle, optimize model performance, and ensure seamless integration into production environments.

Self Paced
Self-Paced
Machine Learning MLOps Machine Learning Operations
Details
MLOps Platforms: Amazon SageMaker and Azure ML (edX) EdX
AI (Pragmatic AI Labs)

MLOps Platforms: Amazon SageMaker and Azure ML (edX)

Computer Science

Elevate Your MLOps Game: Master AWS SageMaker and Azure ML for Production-Ready AI Solutions. This course is designed for data scientists, developers, and IT professionals who want to learn how to effectively deploy, monitor, and manage machine learning models in production using Amazon's SageMaker and Microsoft's Azure Machine Learning platforms.

Self Paced
Self-Paced
Exploratory Data Analysis Azure ML Amazon SageMaker
Details
MLOps (Machine Learning Operations) Fundamentals (Coursera) Coursera
Google Cloud

MLOps (Machine Learning Operations) Fundamentals (Coursera)

Data Science

Dive into the world of MLOps with our comprehensive course designed to equip you with the necessary tools and best practices for managing machine learning operations on Google Cloud. Whether you're a seasoned data scientist or an aspiring ML engineer, this course will guide you through deploying, evaluating, monitoring, and operating production-level ML systems efficiently.

Jun 15th 2026
3 Weeks
Software Engineer Kubernetes Google Cloud
Details
Deploying Machine Learning Models in Production (Coursera) Coursera
DeepLearning.AI

Deploying Machine Learning Models in Production (Coursera)

Data Science

In this comprehensive course, you'll delve into the critical steps required to deploy machine learning models successfully. From setting up scalable hardware infrastructure to automating workflows and employing progressive delivery methods, this program equips you with the skills needed to make your ML models available to end-users efficiently and reliably.

May 8th 2024
3 Weeks
Machine Learning Monitoring TensorFlow
Details
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