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MLOps for Azure Machine Learning
14 ЧасаKubeflow on AWS
28 ЧасаKubeflow on Azure
28 ЧасаKubeflow on GCP
28 ЧасаKubeflow on IBM Cloud
28 ЧасаMLflow
21 ЧасаKubeflow
35 ЧасаKubeflow on OpenShift
28 ЧасаKubeflow Fundamentals
28 ЧасаПоследна актуализация:
Oтзиви от потребители(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.