Amazon SageMaker

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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.

Aug 3rd 2026
5-12 Weeks
MLOps Platforms: Amazon SageMaker and Azure ML (edX) EdX
AI (Pragmatic AI Labs)

MLOps Platforms: Amazon SageMaker and Azure ML (edX)

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
AWS Computer Vision: Getting Started with GluonCV (Coursera) Coursera
AWS

AWS Computer Vision: Getting Started with GluonCV (Coursera)

Embark on a comprehensive journey into Computer Vision with 'AWS Computer Vision: Getting Started with GluonCV'. This course is tailored for learners who want to leverage Amazon Web Services (AWS) to develop cutting-edge computer vision models. You'll explore the fundamentals of artificial neural networks and deep learning, and learn how to effectively construct and train models using Apache MXNet's GluonCV toolkit on AWS.

Jul 25th 2022
5-12 Weeks
Introduction to Machine Learning on AWS (edX) EdX
AWS

Introduction to Machine Learning on AWS (edX)

Dive into the world of machine learning with Amazon Web Services in our Introduction to Machine Learning on AWS course. This beginner-friendly program is designed for software developers and engineers eager to harness the power of ML services without extensive coding. Explore services that handle model training and raw inference, including computer vision, data extraction, language processing, speech recognition, translation, and more.

Self Paced
Self-Paced
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