Online Kubeflow Training in Nigeria

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

This instructor-led live training, available online or onsite, targets beginner to intermediate professionals eager to establish robust ML workflows via Kubeflow.

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

• Traverse the Kubeflow ecosystem and its fundamental components.
• Create reproducible workflows utilizing Kubeflow Pipelines.
• Execute scalable training jobs on Kubernetes.
• Efficiently deploy machine learning models using Kubeflow Serving.

Course Format

• Structured presentations alongside collaborative discussions.
• Practical labs involving real Kubeflow components.
• Functional exercises designed to build comprehensive ML workflows.

Course Customization Options

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

This instructor-led, live training in Nigeria (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.