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 Salvador or in NobleProg corporate training centers in Salvador.
NobleProg -- Your Local Training Provider
Salvador Suarez Trade
Av. Tancredo Neves, 450 - Caminho das Árvores, Salvador, Brazil, 41819-900
The Salvador Suarez Trade Center office space is situated on the 16th floor of a 34-story granite blue glass skyscraper, located on a main road through the financial district. Salvador is the second most popular tourist destination in Brazil. National and international real estate developers are investing in the expansion of the city, and construction is one of the most important commercial activities. The city is also attracting major global companies, creating oil plants, car factories and chemicals near Salvador. The port plays a key role in local trade, especially for the transport of agricultural products from the surrounding region. The city is popular for conferences. Salvador Suarez Trade Center has a fully equipped auditorium, a lan house and its own parking lot, and is near one of the city's main shopping centers. You can easily reach the international airport and other transport links.
Salvador - Mundo Plaza Centre
Avenue Tancredo Neves, 620 , Salvador , Brazil, 41820-901
Discover the ideal headquarters in this city, known for its business opportunities and as a sought-after tourist spot. Nestled in one of the most vibrant neighborhoods, the recently constructed Mundo Plaza Centre seamlessly blends modern architecture with lush greenery, providing you with an appealing work setting.
Be inspired by the stunning vistas from this airy and expansive office space. And after a productive day, immerse yourself in the finest accommodations, boutiques, and cultural offerings that Salvador has to offer.
This instructor-led, live training in Salvador (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 Salvador (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 Salvador (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 Salvador (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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