MLOps

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MLOps Platforms: Amazon SageMaker and Azure ML (Coursera) Coursera
Duke University

MLOps Platforms: Amazon SageMaker and Azure ML (Coursera)

Discover how to effectively build, train, and deploy machine learning solutions in a production setting through MLOps Platforms: Amazon SageMaker and Azure ML course. This comprehensive guide will equip you with the necessary expertise on two leading cloud platforms—Amazon Web Services (AWS) and Microsoft Azure—to succeed in data science, software engineering, development, analysis, or any role that leverages machine learning.

Jun 22nd 2026
5-12 Weeks
DevOps, DataOps, MLOps (Coursera) Coursera
Duke University

DevOps, DataOps, MLOps (Coursera)

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 22nd 2026
5-12 Weeks
MLOps (Machine Learning Operations) Fundamentals (Coursera) Coursera
Google Cloud

MLOps (Machine Learning Operations) Fundamentals (Coursera)

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
Cloud Machine Learning Engineering and MLOps (Coursera) Coursera
Duke University

Cloud Machine Learning Engineering and MLOps (Coursera)

Dive into the world of Cloud Machine Learning Engineering and MLOps with our specialized online course. This course is designed for those who want to develop, deploy, and manage machine learning models at scale using cloud-based tools and best practices in software development. Gain practical experience by working on real-world projects and learn how to leverage data engineering principles to enhance your ML applications.

Jun 15th 2026
3 Weeks
Open Source Platforms for MLOps (Coursera) Coursera
Duke University

Open Source Platforms for MLOps (Coursera)

Dive into the world of MLOps with our expert-led course that focuses on two essential open-source tools: MLflow and Hugging Face. This course is designed for data scientists, developers, and anyone looking to streamline their machine learning model lifecycle management. From tracking experiments to deploying models, you'll gain hands-on experience with real-world applications.

Jun 15th 2026
4 Weeks
Machine Learning Operations (MLOps) with Vertex AI: Manage Features (Coursera) Coursera
Google Cloud

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

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
Deploying Machine Learning Models in Production (Coursera) Coursera
DeepLearning.AI

Deploying Machine Learning Models in Production (Coursera)

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
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