Streamline Your Workflow with Kubernetes
Linux Foundation Training and Certification and the Cloud Native Computing Foundation have launched the new, free course, Introduction to AI/ML Toolkits with Kubeflow (LFS147x), on the edX platform. The course is designed for developers, engineers, data scientists or anyone interested in understanding the anatomy of a machine learning tool kit that harnesses the power of Kubernetes. Course participants will learn to deploy real-world ML projects using Kubeflow.
“Kubeflow is a game-changer in the world of machine learning, offering an open source tool kit that streamlines the deployment and management of AI/ML workflows on Kubernetes,” said Chris Aniszczyk, CTO, CNCF. “With Kubeflow, users can build, deploy and scale machine learning models seamlessly across diverse environments.”
“Today, machine learning skills really make your career profile stand out,” said Clyde Seepersad, SVP, General Manager, Training & Certification, Linux Foundation. “If you are working with Kubernetes this course is an excellent opportunity to enhance your skills with ML workflows and secure your future.”
This free, 12-hour, self-paced, e-Learning course includes access to our discussion forum, enabling participants to interact with fellow students and experts. Course topics include:
- Model Application Relationship & Power of Reproducibility
- Model Development Lifecycle
- MLOps and the Rise of the Machine Learning Toolkit
- Kubeflow Distributions
- The Kubeflow Dashboard & Notebooks
- The Unified Training Operator & Machine Learning
- Kubeflow Pipelines
- Conquering Katib
- Common Kubeflow Integrations
An optional paid track that includes a verifiable certificate of completion and graded assignments is available.
