Explore Our Courses
Kubeflow
35 HoursKubeflow Fundamentals
28 HoursKubeflow on AWS
28 HoursKubeflow on Azure
28 HoursMLflow
21 HoursMLOps: CI/CD for Machine Learning
35 HoursMLOps for Azure Machine Learning
14 HoursLast Updated:
회원 평가 (2)
the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose
Guillaume GAUTIER - OLEA MEDICAL
Course - MLflow
I enjoyed participating in the Kubeflow training, which was held remotely. This training allowed me to consolidate my knowledge for AWS services, K8s, all the devOps tools around Kubeflow which are the necessary bases to properly tackle the subject. I wanted to thank Malawski Marcin for his patience and professionalism for training and advice on best practices. Malawski approaches the subject from different angles, different deployment tools Ansible, EKS kubectl, Terraform. Now I am definitely convinced that I am going into the right field of application.
Guillaume Gautier - OLEA MEDICAL | Improved diagnosis for life TM
Course - Kubeflow
Upcoming Courses
Other Countries
These courses are also available in other countriesConsulting
MLOps Consulting
온라인 MLOps 교육, 온라인 MLOps 교육 과정, 주말 온라인 MLOps 과정, 저녁 온라인 MLOps 교육, 강사 주도 온라인 MLOps 교육, 온라인 MLOps 교육, 온라인 주말 MLOps 교육, 온라인 강사 주도 MLOps 교육, 온라인 MLOps 일대일 교육, 온라인 MLOps 개인 수업, 온라인 MLOps 수업, 온라인 MLOps 부트캠프, 온라인 MLOps 트레이너, 온라인 저녁 MLOps 과정, 온라인 MLOps 현장 수업, 온라인 MLOps 코칭, 온라인 MLOps 강사