NobleProg Training Place, City Indianapolis, IN - Regus – Parkwood Crossing Center

Indianapolis, IN - Regus – Parkwood Crossing Center

450 E 96th St #500, Indianapolis, United States, 46240

This venue is conveniently accessed by car via the I‑465 beltway, exiting north onto Keystone Avenue before turning onto E 96th Street; ample parking is available in the adjacent surface and garage lots. For those arriving by air, the Indianapolis International Airport (IND) is approximately 17 miles away, with taxis or rideshares taking roughly 25–30 minutes via I‑465 and Keystone Avenue. Public transit is available via IndyGo routes 19 and 120, which serve the 96th Street corridor; the bus stop at Parkwood Crossing is only a short walk from the building.

Explore Our Courses

Kubeflow

 35 Hours

This instructor-led, live training in Indianapolis (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 Indianapolis (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 Indianapolis (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 Indianapolis (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
Indianapolis, IN - Regus – Parkwood Crossing Center
$ 6371 (Online)
$ 6371 (Classroom)

Kubeflow Fundamentals

2025-09-01 9:30 am
28 hours
Indianapolis, IN - Regus – Parkwood Crossing Center
$ 5405 (Online)
$ 5405 (Classroom)

Kubeflow on Azure

2025-09-15 9:30 am
28 hours
Indianapolis, IN - Regus – Parkwood Crossing Center
$ 5405 (Online)
$ 5405 (Classroom)

Kubeflow Fundamentals

2025-09-29 9:30 am
28 hours
Indianapolis, IN - Regus – Parkwood Crossing Center
$ 5405 (Online)
$ 5405 (Classroom)

Kubeflow

2025-10-13 9:30 am
35 hours
Indianapolis, IN - Regus – Parkwood Crossing Center
$ 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 Indianapolis, Kubeflow training courses in Indianapolis, Weekend Kubeflow courses in Indianapolis, Evening Kubeflow training in Indianapolis, Kubeflow instructor-led in Indianapolis, Kubeflow classes in Indianapolis, Weekend Kubeflow training in Indianapolis, Kubeflow private courses in Indianapolis, Kubeflow boot camp in Indianapolis, Kubeflow instructor-led in Indianapolis, Kubeflow one on one training in Indianapolis, Kubeflow instructor in Indianapolis, Online Kubeflow training in Indianapolis, Kubeflow on-site in Indianapolis, Kubeflow coaching in Indianapolis, Kubeflow trainer in Indianapolis, Evening Kubeflow courses in Indianapolis