Published on: 2024-08-23 21:08:01
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KubeFlow Bootcamp is a training course on using KubeFlow in Kubernetes, published by Udemy Online Academy. KubeFlow Bootcamp is an intensive course designed to provide hands-on training in using KubeFlow, an open source platform for deploying, managing and scaling machine learning workflows on Kubernetes. This bootcamp covers the core components of KubeFlow, including Pipelines, Katib for hyperparameter tuning, KFServing for model serving, and Operator Training. Participants will learn how to set up and configure the KubeFlow environment, develop end-to-end machine learning workflows, and integrate KubeFlow with popular data science tools and frameworks. This course emphasizes hands-on experience with real-world scenarios, enabling learners to effectively manage and scale machine learning projects.
Master the art of automating end-to-end machine learning workflows with Kubeflow and discover how it seamlessly integrates with Google Cloud’s robust infrastructure. This course will equip you with the knowledge and practical experience to take your projects to new heights. Ideal for data scientists, machine learning engineers, and DevOps professionals, this bootcamp provides the skills needed to use KubeFlow for robust and scalable ML operations in a Kubernetes environment.
Publisher: Udemy
Instructors: Jose Portilla and Pierian Training
Language: English
Level: Introductory to Advanced
Number of Lessons: 51
Duration: 7 hours and 21 minutes
Understanding of general Cloud Service Providers (we provide a Google Cloud intro)
Understand general machine learning concepts
Permissions to subscribe to Google Cloud (credit card may be required)
Some Python Programming Experience
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 720p
1.9 GB
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