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. Hanoi onsite live Kubeflow trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Ly Thai To
Level 5, 41A Ly Thai To Street, Hanoi, Vietnam
The business centre is conveniently located in Sentinel Place on the corner of Ly Thai To and Tran Nguyen Han Streets. It is located within five minutes walk to the Opera House, the Metropole and the Hilton Hanoi Opera and in close proximity to The Ministry of Finance, The Hanoi People's Committee, The State Bank of Vietnam and numerous other commercial properties and foreign banks. Ly Thai To Street is a prominent street which is well known in Hanoi and provides easy of access for any visitors. Key office developments in the vicinity include BIDV Tower, 63 Ly Thai To and the Opera Business Centre and there is high-end shopping malls in the immediate locality.
Toong IPH
3rd Floor, Indochina Plaza, 241 Xuan Thuy street, Cau Giay district, Ha Noi, Vietnam
Located on the 3rd floor of Indochina Plaza, Hanoi, Toong coworking space is one of the key tenants in the whole service complex. We help complete and elevate an ecosystem of living - working - socializing - trading - and relaxing hubs for local entrepreneurs and knowledge workers.
UPGEN KEANGNAM
Level 43, Keangnam Hanoi Landmark Tower, Pham Hung Street, Nam Tu Liem District, Ha Noi, Viet Nam
Inside the tallest building in Hanoi and second tallest in Vietnam, the 72-floor skyscraper Keangnam Hanoi Landmark Tower (Landmark72) is home to one of UPGen’s most impressive spaces. This Grade-A building boasts an incredible view of the city unlike anywhere else in Hanoi. UPGen Keangnam is conveniently located just five minutes’ walk from the metro line.
This instructor-led, live training in Hanoi (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 Hanoi (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 Hanoi (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 Hanoi (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.
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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
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