Burlington, VT – Regus at Williston

300 Interstate Corporate Center, Suite 200, Burlington, United States, 05495

The venue is located in suburban Williston’s Interstate Corporate Center, accessible by car via US 2 or I‑89 with free on-site parking available. From Burlington International Airport (BTV), only about 5 miles away, taxis or rideshares take approximately 10 minutes via Williston Road. Public transit is served by Green Mountain Transit Route 2A, with a stop right outside the corporate center, offering convenient access for attendees traveling without a car.

Montpelier, VT – Local 64

43 State Street, 2ndFloor, Montpelier, United States, 05602

The venue is located at 43 State Street, on the second floor west side, right in downtown Montpelier near the Vermont State House. Easily reached by car via I‑89 or US 2, there is nearby metered street parking and municipal lots. From Burlington International Airport (BTV), about 36 miles northwest, taxis or rideshares typically take around 45 minutes south via I‑89. Public transit is available via Green Mountain Transit buses stopping on State or Main Street, placing the center within a short walk for those arriving without a car.

Winooski, VT – MyCube at Champlain Mill

20 Winooski Falls Wy, Suite 302, Winooski, United States, 05404

The venue is located in the historic Champlain Mill on Winooski Falls Way, perched above scenic Winooski Falls, easily accessed by car via I‑89 or US 2, with free on-site parking available. From Burlington International Airport (BTV), around 3 miles east, taxis or rideshares take about 10–15 minutes via Williston Road. Public transit is facilitated by Green Mountain Transit routes 2 and 4, which stop nearby on Riverside Avenue and Church Street—only a short walk to the site.

Explore Our Courses

Kubeflow

 35 Hours

This instructor-led, live training in Vermont (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 Vermont (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 Vermont (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 Vermont (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
Winooski, VT – MyCube at Champlain Mill
$ 6371 (Online)
$ 6371 (Classroom)

Kubeflow Fundamentals

2025-09-01 9:30 am
28 hours
Winooski, VT – MyCube at Champlain Mill
$ 5405 (Online)
$ 5405 (Classroom)

Kubeflow on Azure

2025-09-15 9:30 am
28 hours
Winooski, VT – MyCube at Champlain Mill
$ 5405 (Online)
$ 5405 (Classroom)

Kubeflow Fundamentals

2025-09-29 9:30 am
28 hours
Winooski, VT – MyCube at Champlain Mill
$ 5405 (Online)
$ 5405 (Classroom)

Kubeflow

2025-10-13 9:30 am
35 hours
Winooski, VT – MyCube at Champlain Mill
$ 6757 (Online)
$ 6757 (Classroom)

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