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Welcome to the workshop!

Workshop
In Progress

Welcome to Scaling and governing ML systems across the life cycle​

Today's icebreaker:​

Zombie model​

Imagine an old ML model at your company refuses to retire. It just keeps running forever like a zombie!

What funny or disastrous things might happen if your company leaves this ‘zombie model’ in production too long?

Type your ideas in the chat.

Today's agenda:​

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Review:

Recap key concepts.

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Practical exercise:

AutoDeliver life cycle challenge.

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Closing:

Wrap-up and reflection.

Today's learning objectives:​

  • Evaluate scalability requirements for ML systems by analysing data variety, data quality and resource needs under varying loads.
  • Design life cycle governance plans that integrate change management workflows and logging practices for production ML systems.
  • Develop decommissioning and archiving protocols that ensure compliance, traceability and business continuity when retiring ML models.

Workshop slides​

Preview or download a copy of the Workshop 2 slides:

Module 12 Workshop 2 — Scaling and governing ML systems across the life cycleDownload

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In progress