ML Ops Course
This course equips you with essential MLOps skills to deploy, manage, and maintain machine learning models in production environments efficiently and securely.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This ML Ops Course teaches you how to shift models from notebooks to dependable production swiftly and securely. You will cover canary and blue-green deployments, quick rollbacks, CI/CD for models, containerisation, Kubernetes deployment, and safe setup. The course includes experiment tracking, versioning, monitoring, drift spotting, and hands-on on-call guides to keep your ML systems steady and efficient.
Elevify advantages
Develop skills
- Production ML releases: deploy models using canary, blue-green, and quick rollback methods.
- Reproducible ML training: manage versions of data, code, and models for verifiable processes.
- Containerised ML serving: create efficient Docker images and roll out to Kubernetes securely.
- CI/CD for ML models: automate testing, security checks, and seamless deployments.
- ML monitoring & on-call: spot drift, troubleshoot issues, and maintain solid churn models.
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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