Explore Our Courses

Kubeflow

  35 hours
This instructor-led, live training in Oman (online or onsite) is aimed at developers and data scientists who wish to build, deploy, and manage machine learning workflows on Kubernetes. By the end of this training, participants will be able
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Kubeflow on AWS

  28 hours
This instructor-led, live training in Oman (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to an AWS EC2 server. By the end of this training, participants will be able to: Install and configure
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Kubeflow on Azure

  28 hours
This instructor-led, live training in Oman (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to Azure cloud. By the end of this training, participants will be able to: Install and configure Kubernetes,
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Kubeflow on GCP

  28 hours
This instructor-led, live training in Oman (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to Google Cloud Platform (GCP). By the end of this training, participants will be able to: Install and
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Kubeflow on IBM Cloud

  28 hours
This instructor-led, live training in Oman (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to IBM Cloud Kubernetes Service (IKS). By the end of this training, participants will be able to: Install and
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Kubeflow on OpenShift

  28 hours
This instructor-led, live training in Oman (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to an OpenShift on-premise or hybrid cloud. By the end of this training, participants will be able to: Install
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Kubeflow Fundamentals

  28 hours
This instructor-led, live training in Oman (online or onsite) is aimed at developers and data scientists who wish to build, deploy, and manage machine learning workflows on Kubernetes. By the end of this training, participants will be able
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Testimonials

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™
Kubeflow Course

Adjusting to our needs

Sumitomo Mitsui Finance and Leasing Company, Limited
Kubeflow Course

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