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. Zapopan onsite live Kubeflow trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Guadalajara - Puerta del Hierro
Avenida Real Acueducto 360, Fifth Floor, Guadalajara , Mexico
Situated in the most exclusive area in Guadalajara this business centre is conveniently located with easy access to Andares Shopping Center, the Mexico Plaza Hotel, restaurants and entertainment.
Zapopan-Americas 1586
Avenue of the Americas#1586 , Zapopan, Mexico, 44610
Achieve business excellence at Americas 1586.
Elevate your ambitions with exceptional office space located in Guadalajara’s vibrant financial hub. Work efficiently in modern, light-filled interiors behind the building’s striking mirrored-glass façade, and enjoy stunning views of the verdant fairways of Guadalajara Country Club.
Fuel innovation in fully equipped meeting rooms and connect with driven professionals in bright, collaborative coworking areas. Enjoy a hassle-free commute with convenient on-site parking, bike storage, and easy access to nearby bus and tram routes.
This instructor-led, live training in Zapopan (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 Zapopan (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 Zapopan (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 Zapopan (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 Zapopan, Kubeflow training courses in Zapopan, Weekend Kubeflow courses in Zapopan, Evening Kubeflow training in Zapopan, Kubeflow instructor-led in Zapopan, Kubeflow coaching in Zapopan, Kubeflow instructor in Zapopan, Evening Kubeflow courses in Zapopan, Weekend Kubeflow training in Zapopan, Online Kubeflow training in Zapopan, Kubeflow instructor-led in Zapopan, Kubeflow trainer in Zapopan, Kubeflow private courses in Zapopan, Kubeflow on-site in Zapopan, Kubeflow one on one training in Zapopan, Kubeflow classes in Zapopan, Kubeflow boot camp in Zapopan
