UbiOps Fundamentals Training
At the end of the training, you can host and serve your own scalable models, create pipelines and connect these to your preferred database, dashboard or WebApp.
What's in it for you?
At the end of UbiOps Fundamentals Training, you will be able to train, host and serve your own scalable models, create pipelines and connect these to your preferred database, dashboard or WebApp. You will know how to manage a multitude of models and workloads, and make full use of all core functionalities of UbiOps that support this process, such as the file system and environments.
During these two training sessions, our experts will teach you all there is to know about UbiOps and relevant concepts. The training consists of hands-on exercises, the theory of “Machine Learning operations” and support to deploy your own model(s). Moreover, you will meet like-minded practitioners to connect and network with and you join our community of over 150 UbiOps Users on Slack.
Duration: 2 x 3 hours online
Next edition: contact us!
Topics covered in the session:
Part 1:
Introduction
Everything about deployments (UI perspective)
Deploying with the Python Client Library
Making requests
Part 2:
Everything about Pipelines and Pipeline Operators
Training your ML models on UbiOps
Environments
Navigating through your data using our file storage functionalities
Final assignment
Do you want to boost your career? Complete UbiOps Training and get your Certificate of Achievement.
UbiOps Fundamentals training that we gave to a group of data scientists from Accenture. In the training, they learned how to approach the implementation of Data Science projects at scale using UbiOps. We covered implementations ranging from simple algorithms to entire data science pipelines that interact with external tools like GitHub!
