Our instructor-led Kubeflow training courses, available both online and onsite, provide interactive, hands-on sessions that demonstrate how to effectively build, deploy, and manage machine learning workflows on Kubernetes using Kubeflow.
These training programs are offered as either "online live training" or "onsite live training". The online live option, also known as "remote live training," is delivered through an interactive remote desktop environment. Onsite live training takes place directly at the client's premises in Plovdiv or at NobleProg's corporate training centers in Plovdiv.
NobleProg -- Your Local Training Provider
Business Center Plovdiv
Han Kubrat St 1, Plovdiv, Bulgaria, 4017
This is the most modern business center in the city, with all the necessary functionalities, while being located in a green part of the city.
It is about 20 minutes by bus from the main train station as well as the city center.
This hands-on training in Plovdiv provides the skills needed to build, train, and serve machine learning models on Kubernetes using Kubeflow. You will learn to navigate the ecosystem, create scalable pipelines, and manage production-ready workloads following best practices.
This live, instructor-led training in Plovdiv (online or in-person) is designed for developers and data scientists seeking to create, launch, and control machine learning workflows on Kubernetes.
By the conclusion of this course, learners will be capable of:
Installing and setting up Kubeflow in on-premise and cloud settings.
Constructing, deploying, and managing ML workflows that rely on Docker containers and Kubernetes.
Operating full machine learning pipelines across diverse architectures and cloud infrastructures.
Utilizing Kubeflow to instantiate and supervise Jupyter notebooks.
Building ML training, hyperparameter tuning, and serving workloads across multiple platforms.
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