ML platform (SageMaker AI ↔ Azure ML)
Amazon SageMaker AI vs Azure Machine Learning
The Azure equivalent of Amazon SageMaker AI is Azure Machine Learning.
Side-by-side comparison
| Aspect | Amazon Web Services | Microsoft Azure |
|---|---|---|
| Service | Amazon SageMaker AI | Azure Machine Learning |
| Lifecycle | Renamed from "Amazon SageMaker" on Dec 3, 2024. API namespaces are unchanged. | Generally available |
| What it is | Fully managed service to build, train, and deploy ML models. | End-to-end ML platform. Workspaces, data and compute, training jobs, AutoML, pipelines, registries, endpoints, MLflow integration, and responsible AI tooling. |
| Pricing model | Pay for underlying instances by the second (notebooks, processing, training, hosting), with SageMaker Savings Plans available. There's no platform fee. | No extra charge for Azure ML itself. You pay for the compute (VMs, clusters, endpoints) and associated Azure resources (storage, Key Vault, Container Registry, Application Insights). |
| Docs | Amazon SageMaker AI docs | Azure Machine Learning docs |
| Pricing page | Amazon SageMaker AI pricing | Azure Machine Learning pricing |
| Exams | MLA-C01 Retiring AIF-C01 | AI-300 AI-901 |
Key differences
- Organizing unit. SageMaker AI uses domains and user profiles (Studio), while Azure ML uses workspaces (with hubs/projects shared with Foundry classic) and registries.
- Naming. "Amazon SageMaker" is now the umbrella for data + AI (Unified Studio), and the ML service is "SageMaker AI". On Azure, generative AI work has moved toward Microsoft Foundry, while Azure ML remains the classic ML/MLOps platform.
- Several SageMaker AI features (Clarify, Model Monitor, Ground Truth, A2I, Debugger) entered maintenance on June 30, 2026, while Azure ML's equivalents (Responsible AI dashboard, model monitoring) remain active. Azure ML data labeling, however, retired Sep 30, 2026.
- MLflow is first-class on both. Azure ML workspaces are MLflow tracking servers, and SageMaker AI offers managed MLflow.
Pricing summary
Pricing models only. No prices are quoted because they change by region and over time.
- AWS
- Pay for underlying instances by the second (notebooks, processing, training, hosting), with SageMaker Savings Plans available. There's no platform fee. Amazon SageMaker AI pricing →
- Azure
- No extra charge for Azure ML itself. You pay for the compute (VMs, clusters, endpoints) and associated Azure resources (storage, Key Vault, Container Registry, Application Insights). Azure Machine Learning pricing →
Certification exam mapping
| Exam | Provider | Level | Status |
|---|---|---|---|
| AWS Certified Machine Learning Engineer – Associate MLA-C01 | AWS | Associate | retiring Being updated to MLA-C02 (beta registration opened Sep 1, 2026). Last day for MLA-C01 in English was Sep 28, 2026; Korean, Japanese, and Simplified Chinese remain until MLA-C02 GA. |
| AWS Certified AI Practitioner AIF-C01 | AWS | Foundational | current Italian and German versions retire after Oct 15, 2026 (per AWS cert page). |
| Microsoft Certified – Machine Learning Operations Engineer Associate AI-300 | Azure | Associate | current MLOps and GenAIOps infrastructure on Azure (IaC with Bicep/CLI, GitHub Actions). Closest successor in scope to the retired DP-100. |
| Microsoft Certified – Azure AI Fundamentals AI-901 | Azure | Fundamentals | current AI-901 replaces AI-900 for this certification (English version updated Apr 15, 2026). Covers Microsoft Foundry. |
Relevance is based on each exam's published scope, not a line-by-line objective match. Check the official study guide.
FAQ
What is the Azure equivalent of Amazon SageMaker AI?
The Azure equivalent of Amazon SageMaker AI is Azure Machine Learning.
How does pricing compare between Amazon SageMaker AI and Azure Machine Learning?
AWS: Pay for underlying instances by the second (notebooks, processing, training, hosting), with SageMaker Savings Plans available. There's no platform fee. Azure: No extra charge for Azure ML itself. You pay for the compute (VMs, clusters, endpoints) and associated Azure resources (storage, Key Vault, Container Registry, Application Insights). Check the official pricing pages for current rates.
Which certification exams cover this topic?
AWS Certified Machine Learning Engineer – Associate (MLA-C01) [retiring]; AWS Certified AI Practitioner (AIF-C01); Microsoft Certified – Machine Learning Operations Engineer Associate (AI-300); Microsoft Certified – Azure AI Fundamentals (AI-901).
Is Azure Machine Learning being replaced by Microsoft Foundry?
No. Foundry is Microsoft's platform for generative AI apps and agents, and Azure ML remains the platform for training, MLOps, and deploying your own models. They share some infrastructure, such as hubs and the model catalog.