Big Data Machine Learning Course
Master big data machine learning for real-world recommendation systems. Learn distributed processing, feature stores, scalable training, hyperparameter tuning, and low-latency deployment to build reliable, high-performance ML products in production.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
The Big Data Machine Learning Course shows you how to design, train, deploy, and maintain large-scale recommendation models with confidence. Learn distributed data processing, storage, and training, advanced feature engineering, hyperparameter optimization, and real-time serving. Master monitoring, testing, security, and cost control so your ML systems stay fast, reliable, and aligned with business goals.
Elevify advantages
Develop skills
- Deploy ML at scale: ship, monitor, and tune low-latency recommendation APIs.
- Train distributed models: handle big data, embeddings, and memory limits fast.
- Engineer production features: build, validate, and serve large-scale feature pipelines.
- Optimize hyperparameters: run cost-aware, distributed HPO with modern tools.
- Harden ML systems: test, benchmark, secure, and control cost in real workloads.
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.What our students say
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I'm grateful 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 help a lot with learning.

André FelipePrompt Engineering Student
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