Neural Networks for Marketing Courses
Master practical AI for marketing: build forecasting, segmentation, uplift models, and campaign optimization pipelines without noise.
Built for real marketing data
Work with funnel events, cohorts, and attribution-ready features.
Fast to implement
Templates and notebooks you can adapt the same day.
Ethical by design
Transparent models and privacy-conscious workflows.
Clear outcomes
Every lesson ends with a measurable marketing metric.
Mini-Curriculum Highlights
A minimalist path to production-grade modeling: from raw events to stable, explainable improvements in lift, CAC, and LTV.
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Feature Engineering for Funnels
From events to tensors: sessionization, lags, decay, and embeddings.
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Uplift Modeling with NN
Responders vs. persuadables: targeting that respects users.
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LTV Forecasting
From CLV baselines to sequence models with attention.
Next cohort starts in
A lightweight countdown to keep planning honest.
ROI Estimator (quick glance)
Sanity-check potential impact from conversion lift or better targeting efficiency. This is a fast estimate, not a promise.
Get course updates without spam
Minimal email frequency: major syllabus updates, new cohort dates, and a curated list of applied NN tactics for marketing.
- Attribution-aware embeddings
- Uplift targeting & guardrails
- Sequence LTV forecasting
- Monitoring & drift checks