Denver, CO - Denver Place

999 18th Street, Suite 3000, Denver, United States, 80202

The venue is located in the prestigious Denver Place complex at 999 18th Street in downtown Denver’s financial district. It is easily accessible by car via I‑25 or I‑70 with secure underground parking available. From Denver International Airport (DEN), take Peña Blvd to I‑70 West to I‑25 South, then exit onto 18th Street—taxi or rideshare typically takes about 30 minutes. Public transit users can take RTD bus routes along 17th or 18th Street or ride the light rail to nearby 18th & California Station, followed by a brief walk to the lobby.

CO, Denver - DTC Corporate Center III

7900 East Union Avenue, Suite 1100, Denver, United States, 80237

The venue is located in Denver Tech Center at 7900 East Union Avenue, Suite 1100, on the 11th floor of Corporate Center III. It’s easily reachable by car via I‑25 or I‑225 with secure underground parking available in the building. From Denver International Airport (DEN), take Peña Blvd and I‑70 West to I‑225 South, then exit onto Union Avenue—taxi or rideshare typically takes about 25 minutes. Public transit users can take RTD buses along Union Avenue, with stops just outside the building, followed by a brief walk into the lobby.

Explore Our Courses

Kubeflow

 35 Hours

This instructor-led, live training in Colorado (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 Colorado (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 Colorado (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 Colorado (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...

Last Updated:

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
Denver, CO - Denver Place
$ 6371 (Online)
$ 6371 (Classroom)

Kubeflow Fundamentals

2025-09-01 9:30 am
28 hours
Denver, CO - Denver Place
$ 5405 (Online)
$ 5405 (Classroom)

Kubeflow on Azure

2025-09-15 9:30 am
28 hours
Denver, CO - Denver Place
$ 5405 (Online)
$ 5405 (Classroom)

Kubeflow Fundamentals

2025-09-29 9:30 am
28 hours
Denver, CO - Denver Place
$ 5405 (Online)
$ 5405 (Classroom)

Kubeflow

2025-10-13 9:30 am
35 hours
Denver, CO - Denver Place
$ 6757 (Online)
$ 6757 (Classroom)

Other regions in the US

Other Countries

These courses are also available in other countries

Consulting

Kubeflow Consulting
Online Kubeflow training in Colorado, Kubeflow training courses in Colorado, Weekend Kubeflow courses in Colorado, Evening Kubeflow training in Colorado, Kubeflow instructor-led in Colorado, Kubeflow on-site in Colorado, Kubeflow private courses in Colorado, Kubeflow trainer in Colorado, Evening Kubeflow courses in Colorado, Kubeflow instructor-led in Colorado, Online Kubeflow training in Colorado, Kubeflow one on one training in Colorado, Kubeflow instructor in Colorado, Kubeflow classes in Colorado, Weekend Kubeflow training in Colorado, Kubeflow boot camp in Colorado, Kubeflow coaching in Colorado