Azure Machine Learning Course
This course provides a comprehensive guide to mastering Azure Machine Learning, covering everything from initial setup to advanced deployment and monitoring of ML models in production.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Master Azure Machine Learning with a focused, hands-on course that takes you from workspace setup and secure data access to training churn models and deploying reliable online endpoints. Learn to size and optimize compute, build reproducible pipelines, register and version models, and implement monitoring, alerts, and CI/CD so your ML solutions stay accurate, cost-effective, and production-ready end to end.
Elevify advantages
Develop skills
- Azure ML infrastructure: configure secure workspaces, compute, and networking fast.
- Churn modeling: frame targets, build features, and validate datasets for accuracy.
- Training pipelines: build reproducible Azure ML jobs, pipelines, and AutoML flows.
- Model registry & versioning: register, track, and govern models across workspaces.
- Real-time ML ops: deploy, scale, monitor, and retrain Azure ML online endpoints.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.

André FelipePrompt Engineering Student
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