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MLOps for Azure Machine Learning
14 godzinMLOps: CI/CD for Machine Learning
35 godzinKubeflow on AWS
28 godzinKubeflow on Azure
28 godzinKubeflow on GCP
28 godzinKubeflow on IBM Cloud
28 godzinMLflow
21 godzinKubeflow
35 godzinKubeflow on OpenShift
28 godzinKubeflow Fundamentals
28 godzinOstatnia aktualizacja:
Opinie uczestników(2)
the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose
Guillaume GAUTIER - OLEA MEDICAL
Szkolenie - 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.