Introduction to Argo Workflow (en)

The “Introduction to Argo Workflow” course provides students with a practical and comprehensive guide to using Argo, an open-source system for managing workflows on Kubernetes. Throughout the course, students will be guided through the steps necessary to install Argo in a Kubernetes environment and create their first workflow. Through a series of modules, students will explore advanced features of Argo, including template tags, template management, workflow input and output, as well as artifact management.

The course will also provide students with the knowledge needed to reuse workflow components in Argo, thereby optimizing the efficiency and maintainability of processes. Students will have the opportunity to explore the Argo user interface, gaining familiarity with workflow monitoring and management features.

CODE: DSAI105
Category: Artificial Intelligence

Argo Workflow

Teaching methodology

The course includes educational laboratories in which each student will be able to work in order to complete training exercises that will provide practical experience in using the instrument, for each of the topics covered during the course.

Prerequisites

  • Familiarity with Linux
  • Basic use of bash
  • Knowledge of containerization
  • Basic knowledge of Kubernetes