Neural Network Course
This course teaches building, training, and deploying neural networks for tabular classification using real data, covering data ingestion, feature engineering, tuning, evaluation, and production deployment.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This Neural Network Course shows you how to build, train, and deploy accurate tabular classification models using real user-level data. You will learn data ingestion, feature engineering for mixed categorical and numeric inputs, robust splitting strategies, hyperparameter tuning, and practical optimisation. The course also covers evaluation, interpretation, calibration, and production-readiness so you can ship reliable, high-impact models fast.
Elevify advantages
Develop skills
- Design tabular neural nets: build MLPs, embeddings, and calibrated outputs fast.
- Tune training like a pro: optimise hyperparameters, schedulers, and batch sizes.
- Engineer powerful features: encode mixed data, scale numerics, and craft signals.
- Build robust ML pipelines: split data correctly, handle imbalance, and log runs.
- Ship production models: interpret metrics, explain predictions, and plan A/B tests.
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 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 supplementary videos really help with learning.

Giulio CarloPrompt Engineering Student
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