This module explores the relationship between models and applications, emphasizing the importance of reproducibility in machine learning systems. Students learn about key concepts in model-application integration and reproducible ML workflows.

Skills you'll gain

This module covers the complete lifecycle of model development, from initial concept to deployment and maintenance. Students learn about different stages of the ML model lifecycle and best practices for managing each phase.

Skills you'll gain

This module examines the emergence of MLOps and the growing importance of machine learning toolkits. Students explore how MLOps relates to DevOps and learn about the evolution of ML toolkits in modern software development.

Skills you'll gain

This module explores the history and development of Kubeflow, examining its origins as a Kubernetes-native machine learning toolkit. Students learn about the motivations behind Kubeflow's creation and its evolution in the ML ecosystem.

Skills you'll gain

This module covers various Kubeflow distributions, helping students understand different deployment options and their specific use cases. Students learn to evaluate and select appropriate distributions for their needs.

Skills you'll gain

This module focuses on the practical aspects of using Kubeflow's dashboard and notebook environments. Students learn to navigate the interface and work with Jupyter notebooks within Kubeflow.

Skills you'll gain

This module explores Kubeflow's unified training operator and its role in machine learning workflows. Students learn about training management and optimization techniques.

Skills you'll gain

This module covers the implementation and management of Kubeflow pipelines, teaching students how to create and optimize ML workflows. Students learn pipeline creation, monitoring, and maintenance.

Skills you'll gain

This module focuses on Katib, Kubeflow's hyperparameter tuning and neural architecture search component. Students learn to optimize model performance through automated parameter tuning.

Skills you'll gain

This final module explores common integrations with Kubeflow, teaching students how to extend the platform's capabilities through various tools and services. Students learn about integration patterns and best practices.

Skills you'll gain