HI, Honolulu - Waterfront

7 Waterfront Plaza, 500 Ala Moana Blvd. Suite 400, Honolulu, United States, 96813

Honolulu business center is located at 7 Waterfront Plaza in the commercial district of Kakako. It sits in the midst of the Waterfront Plaza, a busy cluster of business, retail and restaurant properties. The center is in between Waikiki and downtown Honolulu. Tenants are situated close to the islands largest business areas without all of the traffic. This center is only a few miles from Honolulu International Airport.

HI, Kapolei - Waterfront

7 Waterfront Plaza, Suite 400,, 500 Ala Moana Blvd., Honolulu, United States, 96813

Waterfront Plaza is located along the vibrant Ala Moana Boulevard corridor linking Waikiki, Honolulu's Central Business District, and Honolulu International Airport. It offers convenient access to bus lines and public transportation.

Explore Our Courses

Kubeflow

 35 Hours
This instructor-led, live training in Hawaii (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 to:
  • Install and configure Kubeflow on premise and in the cloud using AWS EKS (Elastic Kubernetes Service).
  • Build, deploy, and manage ML workflows based on Docker containers and Kubernetes.
  • Run entire machine learning pipelines on diverse architectures and cloud environments.
  • Using Kubeflow to spawn and manage Jupyter notebooks.
  • Build ML training, hyperparameter tuning, and serving workloads across multiple platforms.
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Kubeflow Fundamentals

 28 Hours
This instructor-led, live training in Hawaii (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 to:
  • Install and configure Kubeflow on premise and in the cloud.
  • Build, deploy, and manage ML workflows based on Docker containers and Kubernetes.
  • Run entire machine learning pipelines on diverse architectures and cloud environments.
  • Using Kubeflow to spawn and manage Jupyter notebooks.
  • Build ML training, hyperparameter tuning, and serving workloads across multiple platforms.
Read more...

Kubeflow on AWS

 28 Hours
This instructor-led, live training in Hawaii (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 Kubernetes, Kubeflow and other needed software on AWS.
  • Use EKS (Elastic Kubernetes Service) to simplify the work of initializing a Kubernetes cluster on AWS.
  • Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
  • Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
  • Leverage other AWS managed services to extend an ML application.
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Kubeflow on Azure

 28 Hours
This instructor-led, live training in Hawaii (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, Kubeflow and other needed software on Azure.
  • Use Azure Kubernetes Service (AKS) to simplify the work of initializing a Kubernetes cluster on Azure.
  • Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
  • Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
  • Leverage other AWS managed services to extend an ML application.
Read more...

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Testimonials (1)

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

Kubeflow on AWS

2025-06-16 9:30 am
28 hours
HI, Kapolei - Waterfront
$ 6371 (Online)
$ 8371 (Classroom)

Kubeflow Fundamentals

2025-06-30 9:30 am
28 hours
HI, Honolulu - Waterfront
$ 5405 (Online)
$ 6605 (Classroom)

Kubeflow on Azure

2025-07-14 9:30 am
28 hours
HI, Kapolei - Waterfront
$ 5405 (Online)
$ 7405 (Classroom)

Kubeflow Fundamentals

2025-07-28 9:30 am
28 hours
HI, Honolulu - Waterfront
$ 5405 (Online)
$ 6605 (Classroom)

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Kubeflow Consulting
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