Data Science and Engineering Course
This course provides hands-on training in building and deploying recommendation systems, covering the entire lifecycle from data exploration to production monitoring, with a focus on scalable engineering practices and business impact.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Master the full lifecycle of recommendation systems with this practical Data Science and Engineering Course. Learn to explore interaction logs, design robust feature pipelines, choose the right models and metrics, and run reliable experiments. Build scalable deployment, monitoring, and alerting workflows, while applying strong privacy, security, and documentation practices to deliver measurable product impact fast.
Elevify advantages
Develop skills
- Production-grade recommender features: design, validate, and prevent leakage fast.
- Model selection for ranking: pick, tune, and evaluate AUC, precision@k, NDCG.
- Scalable ML pipelines: build feature stores, ETL, and real-time serving flows.
- MLOps for recommenders: deploy, monitor drift, A/B test, and auto-rollback safely.
- Business-first problem framing: turn engagement goals into measurable ML targets.
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
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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