Kubeflow Training in Genoa

Kubeflow is an open-source platform engineered to simplify the process of building, training, and deploying machine learning workloads on Kubernetes.

This instructor-led live training (available online or onsite) is designed for professionals at beginner to intermediate levels who aim to establish robust ML workflows using Kubeflow.

After completing this training, participants will acquire the ability to:

• Explore the Kubeflow ecosystem and its fundamental components.
• Develop reproducible workflows utilizing Kubeflow Pipelines.
• Execute scalable training jobs on Kubernetes.
• Deploy machine learning models efficiently with Kubeflow Serving.

Course Format

• Structured presentations coupled with collaborative discussions.
• Practical labs involving real-world Kubeflow components.
• Hands-on exercises to construct end-to-end ML workflows.

Course Customization Options

• Tailored versions of this training can be configured to match your team’s technology stack and specific project needs.

This instructor-led live training in Genoa (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.