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 Bratislava or in NobleProg corporate training centers in Bratislava.
NobleProg -- Your Local Training Provider
Bratislava CBC
8/A, Karadzicova, Bratislava, slovakia, 821 08
NobleProg Classroom in Bratislava is located in Regus Office at City Business Center building.
CBC can be easily reached via public transport:
- Trolleybus: 42, 60, 72
- Bus: 50, 70
heading to Autobusová stanica or:
- Trolleybus: 40
- Bus: 78
heading to Malý trh.
Google link: https://maps.app.goo.gl/Dcrw7uaxCvXYG8kQA
CBC is part of Nové Nivy - a ground breaking ecosystem born on a revitalised ‘brownfield’ site in the locality of Mlynské nivy.
This instructor-led, live training in Bratislava (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 Bratislava (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 Bratislava (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 Bratislava (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 Bratislava, Kubeflow training courses in Bratislava, Weekend Kubeflow courses in Bratislava, Evening Kubeflow training in Bratislava, Kubeflow instructor-led in Bratislava, Kubeflow boot camp in Bratislava, Kubeflow instructor in Bratislava, Kubeflow one on one training in Bratislava, Kubeflow private courses in Bratislava, Kubeflow classes in Bratislava, Kubeflow trainer in Bratislava, Evening Kubeflow courses in Bratislava, Weekend Kubeflow training in Bratislava, Online Kubeflow training in Bratislava, Kubeflow coaching in Bratislava, Kubeflow on-site in Bratislava, Kubeflow instructor-led in Bratislava
