Online or onsite, instructor-led live Kubeflow training courses demonstrate through interactive hands-on practice how to use Kubeflow to build, deploy, and manage machine learning workflows on Kubernetes.
Kubeflow training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Kubeflow training can be carried out locally on customer premises in zachodniopomorskie or in NobleProg corporate training centers in zachodniopomorskie.
NobleProg -- Your Local Training Provider
Szczecin
Biuro Aloha, Jerzego Janosika 17, Szczecin, Poland, 71-424
The training room is fully equipped, providing all necessary amenities for participants. Additionally, it has attractive transportation connections to all strategic points of the city, facilitating access for both residents and visitors. It is located just 3 kilometers from the city center, allowing for quick access to other important urban locations and amenities.
Koszalin
Gwardia, Sportowa 34, Koszalin, Poland, 75-503
The training room is equipped with full modern amenities. It is located 3 kilometers from the city center. The facility features ample parking space for training participants, ensuring convenient access for all attendees.
This instructor-led, live training in zachodniopomorskie (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.
This instructor-led, live training in zachodniopomorskie (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.
This instructor-led, live training in zachodniopomorskie (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.
This instructor-led, live training in zachodniopomorskie (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
Online Kubeflow training in zachodniopomorskie, Kubeflow training courses in zachodniopomorskie, Weekend Kubeflow courses in zachodniopomorskie, Evening Kubeflow training in zachodniopomorskie, Kubeflow instructor-led in zachodniopomorskie, Weekend Kubeflow training in zachodniopomorskie, Evening Kubeflow courses in zachodniopomorskie, Kubeflow instructor-led in zachodniopomorskie, Kubeflow on-site in zachodniopomorskie, Online Kubeflow training in zachodniopomorskie, Kubeflow one on one training in zachodniopomorskie, Kubeflow trainer in zachodniopomorskie, Kubeflow instructor in zachodniopomorskie, Kubeflow classes in zachodniopomorskie, Kubeflow private courses in zachodniopomorskie, Kubeflow boot camp in zachodniopomorskie, Kubeflow coaching in zachodniopomorskie
