Microsoft Azure
azure.microsoft.com › en-us › products › machine-learning
Azure Machine Learning - ML as a Service | Microsoft Azure
Build machine learning models in a simplified way with machine learning platforms from Azure. Machine learning as a service increases accessibility and efficiency.
AWS v.s. Azure for Machine Learning? : cloudcomputing
Azure ML - what are people's experiences?
Is probably the worst ML service of the major cloud providers: Documentation is crappy, confusing and some times outdated (real mess with passing data objects between pipeline steps) Data drift and model monitoring capabilities extremely limited and in preview since 3 years ago. Total mess with AzureML SDK 2.0. Im sorry microsoft but I will not have my ml pipelines as yaml files. This is delusional. Also neither ChatGPT can answer questions about this version of the SDK because literally no one is using it.... 2 years behind for a centralized model registry (now in preview) Lack of integration between model registry events and azure devops (you need to create a custom azure function to listen to this events and then trigger your CI pipelines). There is an extension for this but it does not work with multiple models. This is important because if your models take more than 6h to train the CI pipelines will fail in DevOps if you use MS Hosted Agents. So deacoplating the CD part from the model generation is usually a good idea. Running spark is a lotery (now in preview again). Other alternatives like SageMaker have allowed you to do that since 2019. There is an unsupported library called RayOnAML to run ray in AML. Is bullshit, it doesn't work in an stable manner. Constant failure of VSCode connection to azureML instances, I recommend you to use JupyterLab (despite of being not optimal) as if you use notebooks with VSCode they will disconnect time to time and you will have to reload everything again. Lack of spot GPU instances (the fail 70% of the time). AML pipelines do not have conditionals, you will always need a high level orchestrator (ADF/LogicApps) to orchestrate complex workflows. I could probably write a blog post with thousands of bad product decisions, unresolved bugs and lack of functionalities. Under any circumstances I will choose this service. PS: I am a senior data scientist with a couple of cloud certifications and strong software designs pattern knowledge and MLOps. I have put more than 7 systems in production with AML. More on reddit.com
Is Azure ML good today ?
What do you mean exactly with "build an AI model from scratch"? You don't have to use anything drag & drop. Everything works via their api/sdk. It's basically a collection of tools that are commonly used (or are similar to) in ML (ops). Preprocessing/training/evaluation you could do using their pipelines, and you can even provide your own docker images / environments / etc. More on reddit.com
AWS v.s. Azure for Machine Learning?
My initial thought is, if you're just going to be spinning up some VMs and a managed database by hand, you're really not going to notice much difference between AWS and Azure. You might want to consider just using both honestly, you might find certain GPUs have better availability on one platform vs the other. GPUs are, in general, a scarce resource. More on reddit.com
What will I learn from this course?
Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier. In this course, you will learn how to use Azure Machine Learning to create and publish models without writing code.
coursera.org
coursera.org › browse › data science › machine learning
Microsoft Azure Machine Learning | Coursera
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
coursera.org
coursera.org › browse › data science › machine learning
Microsoft Azure Machine Learning | Coursera
How long will it take to complete this course?
You should expect to spend at least an hour every week for four weeks to complete all aspects of this course.
coursera.org
coursera.org › browse › data science › machine learning
Microsoft Azure Machine Learning | Coursera
Videos
01:58
What is Azure Machine Learning? | One Dev Question - YouTube
15:14
Azure Machine Learning: the Overview - YouTube
47:18
Getting started with Azure Machine Learning Studio - YouTube
45:09
Basic first project! Azure Machine Learning Easy Getting Starting ...
Deploy a Machine Learning Model using AutoML by Azure ML | Machine ...
Microsoft Learn
learn.microsoft.com › en-us › azure › machine-learning
Azure Machine Learning documentation | Microsoft Learn
Train and deploy machine learning models with Azure Machine Learning. Get started with quickstarts, explore tutorials, and manage your ML lifecycle with MLOps best practices.
Microsoft Azure
azure.microsoft.com › en-us › pricing › details › machine-learning
Azure Machine Learning pricing
Lower TCO. Migrate SQL Server workloads to the cloud to get the HA/DR and security of SQL Server combined with the flexibility and hybrid connectivity of Azure.
DataCamp
datacamp.com › tutorial › azure-machine-learning-guide
A Beginner's Guide to Azure Machine Learning | DataCamp
March 21, 2024 - It supports collaboration, allowing users to share and find assets, resources, and metrics for projects through the Machine Learning studio UI. This platform is open and interoperable, supporting common Python frameworks like PyTorch, TensorFlow, scikit-learn, and more, as well as R and .NET support. Azure ML stands out by providing enterprise-grade security, including integration with Azure Virtual Networks, Azure Key Vault, and Azure Container Registry, ensuring that machine learning projects are secure and collaborative.
Microsoft Learn
learn.microsoft.com › en-us › shows › ai-show › azure-machine-learning-studio
Azure Machine Learning Studio | Microsoft Learn
The Azure Machine Learning studio is a new immersive web experience for managing the end-to-end lifecycle. The new web experience brings all of the data science capabilities for data scientists and engineers, across diverse skill levels from ...
Coursera
coursera.org › browse › data science › machine learning
Microsoft Azure Machine Learning | Coursera
July 5, 2021 - IT professionals interested in learning about the types of solutions artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. Working IT professionals looking for additional skills or credentials to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure. IT professionals looking to specialize in the specific area of Artificial intelligence on Azure. Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models.
GitHub
github.com › Azure › azureml-examples
GitHub - Azure/azureml-examples: Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
The azureml-examples repository contains examples and tutorials to help you learn how to use Azure Machine Learning (Azure ML) services and features.
Starred by 2K users
Forked by 1.6K users
Languages Jupyter Notebook 94.5% | Python 3.7% | Shell 1.3% | C# 0.3% | Bicep 0.1% | PureBasic 0.1%
Microsoft Learn
learn.microsoft.com › en-us › azure › architecture › ai-ml › guide › data-science-and-machine-learning
Overview of Microsoft Machine Learning Products and Technologies - Azure Architecture Center | Microsoft Learn
Machine Learning is a fully managed cloud service that you can use to train, deploy, and manage machine learning models at scale. It fully supports open-source technologies, so you can use tens of thousands of open-source Python packages, such ...
Simplilearn
simplilearn.com › home › resources › cloud computing › what is azure machine learning, and why would you use it?
What is Azure Machine Learning, and why would you use it? | Simplilearn
June 9, 2025 - Azure Machine Learning is a cloud service revving and driving the machine learning project lifecycle. Visit here to know more in details.
Address 5851 Legacy Circle, 6th Floor, Plano, TX 75024 United States
GitHub
microsoft.github.io › PartnerResources › skilling › ai-ml-academy › aml-plat
AI & ML Academy - Azure ML Platform
Azure Machine Learning (Azure ML, or AML) Services is a platform and not just a notebook to run ML models. Azure ML Service brings enterprise users the ability to train, test, and deploy their models across a host of environments to support their machine learning applications.