Description
- Background to MLOps
- Tooling for Machine Learning
- Use of FIWARE within MLOps
- Use of Argo Workflows
- Verta AI monitioring
- Continuous Training, Continuous Integration, Continuous Development
MLOps is trend which has emerged to facilitate the industrialization of AI models. It consists of implementing DevOps practices within a Machine Learning project. MLOps is a set of best practices to manage the AI models and data lifecycle.
The aim of this webinar is to present a methodology for implementing MLOps at scale within a Kubernetes architecture by leveraging FIWARE interfaces.
Learn how to create and manage Machine Learning pipelines with Argo Workflow. This talk will also showcase all the benefits of using CI/CD to automate AI models deployment into a production environment.