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MLOps training

MLOps training
4 to 360h flexible workload
certificate valid in your country

What will I learn?

This MLOps course teaches you to design, package, deploy, and monitor reliable churn prediction models end-to-end. Gain hands-on skills in feature engineering, model selection, evaluation, REST API development, CI/CD pipelines, automated validation, deployment strategies, observability, incident management, retraining, and governance for scalable, production-ready ML systems.

Elevify advantages

Develop skills

  • Develop production-ready churn models: build, evaluate, and interpret them efficiently.
  • Master MLOps deployments: deliver ML models using CI/CD, canary releases, and blue-green strategies.
  • Implement monitoring and drift detection: use metrics, logs, and alerts to maintain model health.
  • Package models and build APIs: containerize models and expose predictions through REST endpoints.
  • Create incident response playbooks: manage rollbacks, outages, and performance issues effectively.

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.
Workload: between 4 and 360 hours

What our students are saying

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... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get 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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