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Big Data Machine Learning Course

Big Data Machine Learning Course
4 to 360 hours flexible workload
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 optimisation, 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.
  • 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.
Workload: between 4 and 360 hours

What our students say

Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...
Giulio Carlo
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 Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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