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 equips you with the skills to build, train, and serve machine learning models on Kubernetes using Kubeflow. You will learn to navigate the ecosystem, author scalable pipelines, and manage production-ready workloads with best practices.
This live, instructor-led training in Sofia, offered online or on-site, is designed for developers and data scientists seeking to build, deploy, and manage machine learning workflows on Kubernetes.
By the end of this session, participants will gain the capability to:
Install and configure Kubeflow in on-premises and cloud settings.
Develop, deploy, and control ML workflows leveraging Docker containers and Kubernetes.
Operate full machine learning pipelines across diverse architectures and cloud environments.
Utilize Kubeflow to create and manage Jupyter notebooks.
Establish ML training, hyperparameter tuning, and serving workloads across various platforms.
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