Azure ML

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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 8th 2026
5-12 Weeks
Developing AI Applications on Azure (Coursera) Coursera
LearnQuest

Developing AI Applications on Azure (Coursera)

Embark on a transformative journey into the world of Artificial Intelligence (AI) and Machine Learning (ML). This course, offered by Coursera, is designed for those eager to harness the potential of AI applications. You'll delve into various ML types and tasks, algorithms, and explore Python as the go-to language for implementing machine learning solutions on Azure's powerful platform.

Jun 1st 2026
5-12 Weeks
Machine Learning Operations 1 (MLOps1-AML): Deploying AI & ML Models in Production using Microsoft Azure Machine Learning (AML) (edX) EdX
Statistics.comX,Statistics.com

Machine Learning Operations 1 (MLOps1-AML): Deploying AI & ML Models in Production using Microsoft Azure Machine Learning (AML) (edX)

Unlock the secrets to successful data science project deployment with our MLOps1 course. Specializing in Microsoft Azure Machine Learning (AML), this course teaches you how to effectively deploy AI & ML models into production, ensuring continuous monitoring and iterative improvements for better performance.

Self Paced
Self-Paced
Introduction to Machine Learning using Microsoft Azure (Udacity) Udacity
Udacity,Microsoft Azure

Introduction to Machine Learning using Microsoft Azure (Udacity)

Embark on a journey into the fascinating world of machine learning with our Introduction to Machine Learning using Microsoft Azure course. Designed for newcomers, this course offers an accessible entry point into AI, guiding you through key concepts and practical exercises on the powerful Azure platform. Learn how to import, transform, manage data, train models, validate, and evaluate your machine learning projects effectively.

Self Paced
Self-Paced
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
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