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Azure Machine Learning & MLOps : Beginner to Advance (Udemy.com)

The most compressive course covering MLOps and machine learning on Azure | Zero to Hero

Created by: Mohammad Ghodratigohar (MG)

Last updated January 2024

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What you will learn

  • How to use Azure Machine Learning from Development to Production
  • How to Use Azure DevOps for Continuous Integration, continuous deployment on Machine Learning
  • How to automate End 2 End machine Learning Solution on Azure
  • How to Deploy Machine learning Models on Azure (Azure Container Instances, Azure Kubernetese Services, managed endpoints)
  • Run an end-to-end CI/CD MLOps pipeline using Azure DevOps & Azure Machine learning
  • Bests practices and highly demanded capabilities of machine learning on Azure Cloud

How it compares

Against the other 155 rated Udemy courses in Machine Learning on CourseDuck:

  • Rating4.5 out of 5higher than 62% of them
  • Reviews9,772#10 of 156 by number of reviews
  • Length19.3 hourslonger than 82% of them
  • Last updatedJanuary 2024more recently than 58% of them

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Course Description

A course instructed by me and my digital twin if:

You are looking for a comprehensive, engaging, and fun course for mastering Azure Machine learning ( up to even advanced industry-required topics) plus fully hands-on end-to-end implantation of MLOps ( DevOps for Machine learning on Azure). If yes, then this is the right and very unique course for you! 

Machine Learning Operations (MLOps) is a rapidly growing culture nad highly demanded in the industry with a set of principles, and guidelines defined in the machine learning world to deploy a machine learning model into production.

Azure Machine Learning is a cloud service for accelerating and managing the machine learning project lifecycle. Machine learning professionals, data scientists, and engineers can use it in their day-to-day workflows: Train and deploy models, and manage MLOps.

You can create a model in Azure Machine Learning or use a model built from an open-source platform, such as Pytorch, TensorFlow, or scikit-learn. MLOps tools help you monitor, retrain, and redeploy models.


Key points about this course


  • Very detailed in-depth and comprehensive coverage

  • This course will help you prepare for entry into this hot career path of Machine Learning and MLOps

  • The course is regularly updated with recent features

  • Best practices and impactful features of Azure ML (e.g, Explainable AI)  with its tricks are all covered

  • Contains some extra videos relevant to Azure Machine Learning and Databricks (Apache Spark)


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Instructor Details

Mohammad Ghodratigohar (MG)

Mohammad Ghodratigohar (MG) is a Microsoft data scientist and AI cloud solution architect with years of hands-on knowledge and expertise in leveraging advanced AI techniques to solve business problems. He designed, developed, and led various machine learning projects mainly in healthcare through private sector companies and hospitals in computer vision, signal processing, and geospatial analysis fields. Mohammad has a MSc degree in biomedical engineering with a specialization and journal publications in machine learning and healthcare.


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Reviews

4.5

9,772 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Athilakshmi Alagarsamy on 8/3/2026

If the instructor shows how to create with an example might be more useful

By Karen Aguilera on 7/9/2026

Si, personalmente me sirve para conocer y profundizar mis conocimientos acerca de la nueva tecnologia.

By Samyak Jain on 6/28/2026

Very insightful and full of learning

By Krzysztof Miler on 6/19/2026

A good and broad intro into capabilities of Azure ML, arguably the broadness of scope dilutes the value a bit.

By Ria Jane Uson on 4/6/2026

Easy to follow guide, very detailed and fun way to learn.

By Victor Negron on 2/24/2026

This course covers a great deal of important topics in Machine Learning with Microsoft Azure and serves as a good introduction to this type of work. My main complaint comes from the videos being too long. I think if each video was split into several sections of 10 to 15 minutes, it would be a better experience with this course.

By Nitin Gandhi on 2/22/2026

Beautifully explained sessions and all the modules are so hands on.

By Sahil Kumar on 12/19/2025

great course that helped me learn a lot about MLOPS

By Jose Hernandez on 11/27/2025

es difícil ver todo lo de azure y los subtitulos al mismo tiempo, cuando se es nuevo en el tema de azure

By Silvia Espinosa on 11/26/2025

Entiendo que cada paso es muy importante para entender bien el concepto y objetivo de este tema.

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Overall Score : 90 / 100