MLOps training
Master MLOps for building reliable churn prediction systems. Learn end-to-end deployment, CI/CD pipelines, monitoring, incident response, model governance, and observability to deliver scalable ML products that meet business KPIs and perform reliably in production environments.
from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This MLOps course teaches you to design, package, deploy, and monitor robust churn prediction models end-to-end. Gain hands-on skills in feature engineering, model selection, evaluation, REST APIs, CI/CD pipelines, automated validation, deployment patterns, observability, incident runbooks, retraining, and governance for accurate, scalable, production-ready models.
Elevify advantages
Develop skills
- Production-ready churn modelling: build, evaluate, and explain churn models quickly.
- MLOps deployment expertise: deploy ML models safely using CI/CD, canary, and blue-green strategies.
- Monitoring and drift detection: monitor ML system health with metrics, logs, and alerts.
- Model packaging and APIs: containerise models and deliver predictions via REST APIs.
- Incident response playbooks: manage rollbacks, outages, and performance issues effectively.
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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