Argo Workflow Intermediate
The course offers an in-depth exploration of Argo Workflow with a specific focus on the application in the context of machine learning. Students will have the opportunity to gain advanced knowledge of using Argo Workflow to automate and orchestrate complex processes related to the development and deployment of machine learning models.
Additionally, the course will begin to introduce the fundamental concepts of MLOps, showing how Argo Workflow can be integrated into an operational machine learning infrastructure.
CODE: DSAI205
Category: Artificial Intelligence Course
Teaching methodology
The course includes educational laboratories in which each student will be able to carry out training exercises that will provide practical experience in the use of the tool, for each of the topics covered during the course.
Prerequisites
- Basic knowledge of Argo Workflow or participation in the DSAI105 introductory course.
- Understanding the fundamental principles of machine learning.
- Basic knowledge of process automation and orchestration concepts.
Below is an overview of the course contents:
- Introduction to MLOps concepts
- Recap of Argo Workflow
- Integration of Argo Workflow into an MLOps environment
- Using Workflow Templates for a Model
- Implementing Event-Driven Pipelines in Argo Workflow
- Monitoring Workflows in Argo Workflow
- Managing Workflows in Argo Workflow
- Optimizing Workflow Performance for ML
At the end of the course, participants will be able to:
- Use Argo Workflow in an advanced way to automate processes related to machine learning.
- Understand the fundamentals of MLOps and the role of Argo Workflow in this context.
- Implement and manage complex workflows for the development, testing, and release of machine learning models.
- Integrate Argo Workflow into an operational machine learning infrastructure following best practices.
- Monitor and optimize workflows to maximize the performance of machine learning models.
Duration – 1 day
Delivery – in the classroom, on site, remotely
PC and SW requirements:
- Internet connection
- Web browser, Google Chrome
- Zoom
Language
- Instructor: English
- Workshops: English
- Slides: English
