Big Data Machine Learning Course
This course provides comprehensive training in building and deploying scalable machine learning systems for big data, focusing on recommendation models and production-ready practices.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
The Big Data Machine Learning Course equips you with the skills to design, train, deploy, and maintain large-scale recommendation models confidently. You will learn distributed data processing, storage, and training, advanced feature engineering, hyperparameter optimisation, and real-time serving. Gain mastery in monitoring, testing, security, and cost control to ensure your ML systems remain fast, reliable, and aligned with business objectives.
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.
- Optimise 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 the 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 thank you 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 switch 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 really help with learning.

André FelipePrompt Engineering Student
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