MLOps training
Master MLOps for real churn prediction systems. Learn deployment, CI/CD, monitoring, incident response, and model governance so you can ship reliable, scalable ML products that align with business KPIs and run smoothly in production.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Mlops Training shows you how to design, package, deploy, and monitor robust churn prediction models from end to end. Learn practical feature engineering, model selection, and evaluation, then build reliable REST APIs, CI/CD pipelines, and automated validation. Master deployment patterns, observability, incident runbooks, retraining strategies, and governance so your models stay accurate, scalable, and production-ready.
Elevify advantages
Develop skills
- Production-ready churn modeling: build, evaluate, and explain churn models fast.
- MLOps deployment mastery: ship ML via CI/CD, canary, and blue-green safely.
- Monitoring and drift detection: track ML health with metrics, logs, and alerts.
- Model packaging and APIs: containerize models and serve predictions via REST.
- Incident response playbooks: handle rollbacks, outages, and performance drops.
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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