Welcome to the workshop!
Workshop
In ProgressWelcome to Designing and Optimising ML Training Pipelines
Today's icebreaker:
What slows you down?
Before we design efficient training pipelines, think about your own ML projects.
Which part of your model training process causes the biggest bottleneck — data prep, training, or tuning?
Type your answer in the chat!
Today's agenda:
- Review: Recap key concepts.
- **Practical exercise:**The efficiency challenge.
- **Closing:**Wrap up and reflection.
Today's learning objectives:
- Design an efficient end-to-end ML training workflow.
- Balance performance, efficiency, and sustainability trade-offs.
- Apply optimisation techniques for tuning and resource management.
- Link performance outcomes to business and operational goals.