Big Data in the Age of AI Course
This course teaches building end-to-end churn models using big data and AI, covering data handling, feature engineering, model training, deployment, and real-time applications for business impact.

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

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 CarloPrompt Engineering Student
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