ML Engineering Course
This course equips learners with practical skills to develop, deploy, and maintain production-ready machine learning systems, focusing on real-time recommendation engines and MLOps best practices.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The ML Engineering Course teaches you how to build real-time recommendation systems from start to finish. You will learn about data collection, schema design, feature stores, and scalable storage, then proceed to feature engineering, training pipelines, and model selection. You will also gain mastery in serving architectures, monitoring, experimentation, and cost optimisation to enable you to deliver reliable, high-impact ML products swiftly and with assurance.
Elevify advantages
Develop skills
- Production ML pipelines: design robust data, feature, and training workflows quickly.
- Real-time recommenders: build low-latency, scalable ranking and retrieval APIs.
- Feature engineering at scale: create batch and streaming features for impact.
- ML deployment & MLOps: ship, version, and roll back models with confidence.
- Monitoring ML systems: track drift, KPIs, and reliability in live environments.
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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