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Azure Machine Learning Course

Azure Machine Learning Course
flexible workload from 4 to 360h
valid certificate in your country

What will I learn?

Master Azure Machine Learning through a practical course that guides you from setting up workspaces and accessing data securely to training models for customer churn and deploying dependable online endpoints. You'll learn to select and optimise compute resources, create repeatable pipelines, register and version models, and set up monitoring, alerts, and CI/CD to ensure your ML solutions remain precise, affordable, and ready for production throughout.

Elevify advantages

Develop skills

  • Azure ML infrastructure: set up secure workspaces, compute, and networking quickly.
  • Churn modelling: define targets, create features, and check datasets for reliability.
  • Training pipelines: develop repeatable Azure ML jobs, pipelines, and AutoML processes.
  • Model registry & versioning: register, monitor, and manage models across workspaces.
  • Real-time ML ops: deploy, expand, track, and retrain Azure ML online endpoints.

Suggested summary

Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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