Seattle, WA – Regus at Smith Tower

506 Second Ave, Suite 1400, Seattle, United States, 98104

The venue is located in the historic Smith Tower building in Pioneer Square, easily accessed by car via I‑5, I‑90, or I‑405, with nearby parking garages and street parking connected to the tower. From Seattle–Tacoma International Airport (SEA), a taxi or rideshare takes approximately 25–30 minutes via I‑5 North and Airport Way. Public transit is seamless: the Pioneer Square light rail station is just a 1-minute walk, and multiple King County Metro bus routes run along 2nd Avenue—making it highly convenient for attendees arriving without a car.

Olympia, WA

415 Capitol Way N, Olympia, United States, 98501

The venue is conveniently located in downtown Olympia, with ample public parking available in nearby garages and on the street. For those arriving by air, Olympia Regional Airport (OLM) is just 5 miles away, making it an ideal option for regional travelers. Attendees can also take advantage of the city’s public transit system, as the venue is within walking distance of several Intercity Transit bus routes and easily accessible from downtown Olympia transit hubs.

Seattle, WA

808 Howell St, Seattle, United States, 98101

The venue is easily accessible by car via I‑5 and I‑90, with on-site parking available for a fee and additional public garages nearby. For those traveling by air, Seattle–Tacoma International Airport (SEA) is approximately 15 miles away and offers various transfer options to the city. Public transportation is also convenient, with Westlake Station—serviced by both bus and light rail—just a short walk away, along with access to major downtown Seattle bus lines.
NobleProg Training Place, City Seattle, WA - Regus at Seattle City

Seattle, WA - Regus at Seattle City

1420 5th Ave, Seattle, United States, 98101

The venue is conveniently located in downtown Seattle and can be easily reached by car via I‑5 and I‑90, with several public parking garages available nearby. For those arriving by air, Seattle–Tacoma International Airport (SEA) is approximately 15 miles away. The location is also well-served by public transit, just steps from major bus stops and light rail stations.

Explore Our Courses

Kubeflow

 35 Hours

This instructor-led, live training in Washington (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.
Read more...

Kubeflow Fundamentals

 28 Hours

This instructor-led, live training in Washington (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 Washington (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.
Read more...

Kubeflow on Azure

 28 Hours

This instructor-led, live training in Washington (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

2025-08-18 9:30 am
28 hours
Seattle, WA
$ 6371 (Online)
$ 6371 (Classroom)

Kubeflow Fundamentals

2025-09-01 9:30 am
28 hours
Seattle, WA
$ 5405 (Online)
$ 5405 (Classroom)

Kubeflow on Azure

2025-09-15 9:30 am
28 hours
Seattle, WA
$ 5405 (Online)
$ 5405 (Classroom)

Kubeflow Fundamentals

2025-09-29 9:30 am
28 hours
Seattle, WA
$ 5405 (Online)
$ 5405 (Classroom)

Kubeflow

2025-10-13 9:30 am
35 hours
Seattle, WA
$ 6757 (Online)
$ 6757 (Classroom)

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