Artificial neural networks course
Dive into artificial neural networks to solve practical tech challenges. Gain skills in data preparation, model building, optimisation, assessment, and ethical considerations to deliver reliable, efficient models that drive key business outcomes with confidence and trustworthiness.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course teaches you to create precise binary classifiers using artificial neural networks on real-world tabular data. You'll handle data loading from CSVs, feature engineering, model architecture selection, activations, loss functions, hyperparameter tuning, class imbalance, regularisation, training monitoring, and model evaluation, interpretation, calibration for ethical, production-ready deployment.
Elevify advantages
Develop skills
- Design binary classifiers: rapidly build, tune, and assess ANN models.
- Prepare tabular data: clean, encode, scale, and create impactful features.
- Optimise training: choose losses, activations, regularisation, and learning rates.
- Tune and deploy: perform hyperparameter searches for efficient production models.
- Interpret outcomes: clearly explain metrics, calibration, and feature importance.
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
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