Oklahoma City, OK – Regus at Park Avenue

101 Park Ave, Suite 1300, Oklahoma City, United States, 73102

The venue is located at the prominent corner of Park Avenue and Broadway in downtown Oklahoma City, easily reached by car via I‑35, I‑40, or I‑235, with covered parking garages connected via the city’s underground walkway. From Will Rogers World Airport (OKC), approximately 15 minutes away, taxis or rideshares take you via I‑44 East and I‑235 North. Public transit is convenient with bus stops and the downtown OLID station within a short walk, and the underground tunnel connects to nearby dining and entertainment venues.

Tulsa, Ok

100 E 2nd Street, Tulsa, United States, 74103

Accessible via I‑444, I‑244, and US‑75. Tulsa International Airport is approximately 8 miles away. The venue offers convenient valet/self-parking and is within walking distance of public transit.

Oklahoma City, OK - Regus at Robert S Kerr Ave

201 Robert S Kerr Ave, Midtown, Oklahoma City, United States, 73102

Accessible by car via I-40, I-235, or I-35. For attendees flying in, Will Rogers World Airport (OKC) is approximately 15 km away. Downtown parking is available nearby, and it’s a short walk from bus and train stations.
NobleProg Training Place, City Tulsa, OK - Regus - Kennedy Building

Tulsa, OK - Regus - Kennedy Building

321 S Boston Ave, Tulsa, United States, 74103

Conveniently located in downtown Tulsa with multiple public parking garages nearby. Easily accessible via I‑244 and US‑75. It’s within walking distance of the BNSF train station and close to local bus routes for easy team access.

Explore Our Courses

Kubeflow

 35 Hours

This instructor-led, live training in Oklahoma (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 Oklahoma (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 Oklahoma (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 Oklahoma (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
Tulsa, OK - Regus - Kennedy Building
$ 6371 (Online)
$ 6371 (Classroom)

Kubeflow Fundamentals

2025-09-01 9:30 am
28 hours
Oklahoma City, OK – Regus at Park Avenue
$ 5405 (Online)
$ 5405 (Classroom)

Kubeflow on Azure

2025-09-15 9:30 am
28 hours
Tulsa, OK - Regus - Kennedy Building
$ 5405 (Online)
$ 5405 (Classroom)

Kubeflow Fundamentals

2025-09-29 9:30 am
28 hours
Oklahoma City, OK – Regus at Park Avenue
$ 5405 (Online)
$ 5405 (Classroom)

Kubeflow

2025-10-13 9:30 am
35 hours
Tulsa, OK - Regus - Kennedy Building
$ 6757 (Online)
$ 6757 (Classroom)

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Kubeflow Consulting
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