Data Science AI ML Course
This course provides hands-on training in building, evaluating, and deploying recommendation and prediction models using data science, AI, and machine learning techniques, focusing on real-world applications in e-commerce and beyond.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Data Science AI ML Course equips you with practical, end-to-end skills to build and deploy high-performing recommendation and prediction models. You will learn to clean and explore interaction logs, engineer powerful user, item, and sequence features, train classical and deep ranking models, choose the right metrics, and run offline and online tests, while handling drift, bias, fairness, and real-time serving constraints for measurable business impact.
Elevify advantages
Develop skills
- Build production-ready recommenders: from raw logs to ranked product lists.
- Engineer powerful user, item, and sequence features for e-commerce models.
- Train and tune ML ranking models, from tree-based to deep two-tower nets.
- Evaluate and compare models with ROC AUC, ranking metrics, and A/B-style tests.
- Deploy, monitor, and retrain models with drift checks and business KPIs.
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
As suas aulas são perfeitas. Adquiri o pacote de um ano e, finalmente, tenho a oportunidade de acompanhar diversos temas do meu interesse sem precisar mudar de plataforma... agradeço por tudo o que fazem, já recomendei vocês a outras pessoas...

Giulio CarloAluno de Marketing Digital
Eu gosto de como as lições são direto ao ponto e como eu consigo alterar capítulos e pular conteúdos que não preciso.

Mariana FerresAluna de Fotografia
Gosto do conteúdo e do modo de apresentação e transcrição de vídeos, o que acelera o processo!

Luciana AlvarengaAluna de Design de Unhas
A plataforma é rápida, simples de usar. A diversidade de conteúdo e os vídeos complementares ajudam muito no aprendizado.

Giulio CarloAluno de Engenharia de Prompt
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