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Big Data in the Age of AI Course

Big Data in the Age of AI Course
4 to 360h flexible workload
certificate valid in your country

What will I learn?

Big Data in the Age of AI Course shows you how to build accurate churn models end to end, from understanding large datasets and data quality to crafting powerful behavioural, monetary, and lifecycle features at scale. You will train and evaluate models with best practices for temporal data, then deploy, monitor, and integrate them into real-time applications with robust experimentation and measurable business impact.

Elevify advantages

Develop skills

  • Churn feature engineering: build scalable monetary, recency, and behaviour signals.
  • Big data pipelines: design Spark-based storage, joins, and window aggregations.
  • Enterprise churn modelling: train, tune, and evaluate models on massive datasets.
  • Real-time ML serving: deploy, version, and monitor churn models in production.
  • Intelligent retention systems: power A/B tests and personalised real-time offers.

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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