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 trainings in Panama City can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Panama - Torres de Las Americas A
15the Floor, Torre A, Torre de las Américas, Panama City, panama
This center is located on the 15th floor of the spectacular Torre de Las Americas A - one of two impressive towers shaped like yacht sails in the thriving business district. The towers, with their distinctive reflective glass, are on Punta Pacifica with easy access to the Corredor Sur. The center is a short taxi drive from Tocumen International Airport.
Panama City - Financial Park Tower
Financial Park Tower, Boulevard Costa del Este, Panama City, panama
Strategically located in the prestigious area of Costa del Este in the corporate building of the Financial Park, it is surrounded by nature and urbanism with magnificent ocean views. This emblematic contemporary building has 45 floors and is located at the corner of La Rotonda and the main avenues of Costa del Este.
Only 10 minutes from the international airport and 7 minutes from the financial center of Panama, close to restaurants, banks and shopping centers. The center's workspace gives you flexibility and helps you interact with other companies:
Private and shared office space fully furnished.
Unlimited access to high-speed Internet and Wi-Fi access, ideal to stay connected with your customers.
Abundant natural light and excellent views of the city.
Access to business rooms, when you are on the move.
Panama City - Oceania Business Plaza
Street Punta Colon Panama City, Panama City, Panama
Establish your enterprise within Panama's premier locale. Nestled in a prestigious oceanfront enclave adjacent to the financial hub, Oceania Business Plaza offers a picturesque setting with convenient proximity to the city's prominent clientele.
This instructor-led, live training in Panama City (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 Panama City (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 Panama City (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 Panama City (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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