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 Sofia or at NobleProg's corporate training centers in Sofia.
NobleProg -- Your Local Training Provider
Crystal Business Center
ул. "Осогово" 40, Sofia, Bulgaria, 1303
Crystal Business Center is located in the central part of Sofia, on the corner of "Osogovo" street. and "Todor Aleksandrov" blvd. The building is easily accessible by metro (only 50 m from Opalchenska station) and other public transport. Its total area is 8000 sq.m. The office area is 6171 sq.m.
This hands-on training in Sofia 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 Sofia (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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