Machine Learning Operations

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.

Jun 8th 2026

5-12 Weeks

Python Artificial Intelligence Machine Learning

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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.

Jun 1st 2026

4 Weeks

Google Cloud Coursera Plus MLOps

Details

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.

May 18th 2026

3 Weeks

Software Engineer Kubernetes Google Cloud

Details

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

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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

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EdX

Statistics.comX,Statistics.com

Machine Learning Operations 2 (MLOps2-AWS): Data Pipeline Automation & Optimization using Amazon Web Services (AWS) (edX)

Statistics & Data Analysis Data Science

Unlock the secrets to successful machine learning project deployment with our MLOps2-AWS course. Dive into automating and optimizing your data pipeline using powerful AWS tools. Perfect for data scientists, developers, and IT pros aiming to streamline their ML projects.

Self Paced

Self-Paced

Optimization Automation Continuous Integration

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EdX

Statistics.comX,Statistics.com

Machine Learning Operations 2 (MLOps2-GCP): Data Pipeline Automation & Optimization using Google Cloud Platform (GCP) (edX)

Statistics & Data Analysis Data Science

Transform your approach to deploying machine learning models with our comprehensive course on MLOps2-GCP. Dive into the world of data pipeline automation and optimization using Google Cloud Platform (GCP) to ensure smooth, efficient, and successful ML project deployments. Whether you're a data scientist, engineer, or enthusiast, this course will equip you with the essential skills needed to overcome one of the primary challenges in machine learning.

Self Paced

Self-Paced

GCP Optimization Automation

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EdX

Statistics.comX,Statistics.com

Machine Learning Operations 2 (MLOps2-AML): Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning (AML) (edX)

Statistics & Data Analysis Data Science

Unlock the secrets of successful machine learning project deployment with our MLOps2 course. Specializing in Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning (AML), this course equips you with essential skills for automating your ML pipeline, ensuring efficient model deployment and continuous optimization. Perfect for data scientists and engineers looking to streamline their processes.

Self Paced

Self-Paced

Optimization Automation Azure Machine Learning

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EdX

Statistics.comX,Statistics.com

Machine Learning Operations 1 (MLOps1-AWS): Deploying AI & ML Models in Production using Amazon Web Services (AWS) (edX)

Statistics & Data Analysis Data Science

Transform your data science project from concept to successful implementation with Machine Learning Operations 1 (MLOps1-AWS). This comprehensive course on edX guides learners through the critical process of deploying AI and ML models using Amazon Web Services (AWS), addressing one of the primary challenges in data science: deployment. Learn how to effectively collaborate between data scientists and engineers, monitor model performance, and iterate for continuous improvement.

Self Paced

Self-Paced

Machine Learning Pipelines Amazon Web Services AWS

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