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γGammaAdvancedPlanned curriculum

Model Evaluation Studio

Proposed time-bound masterclass for investigating a model's practical failure modes.

Proposed modulesAI & Machine Learning
PEPOINT LEARN
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ARTIFICIAL INTELLIGENCE
YOUR NEXT STEP

What this course is being designed for.

Proposed time-bound masterclass for investigating a model's practical failure modes.

Proposed learning outcomes

  • Define an evaluation question and error taxonomy
  • Construct representative and challenging test examples
  • Analyze performance across meaningful data slices
  • Present deployment criteria and an improvement plan
THE LEARNING JOURNEY

Planned curriculum

These modules are proposed. Teaching material, fees and dates will be confirmed before the course becomes available.

01
Proposed module

Define an evaluation question and error taxonomy

Planned
02
Proposed module

Construct representative and challenging test examples

Planned
03
Proposed module

Analyze performance across meaningful data slices

Planned
04
Proposed module

Present deployment criteria and an improvement plan

Planned
BEFORE YOU BEGIN

A clear starting point.

  • Review the confirmed course requirements before enrolment.
Class access window

Start date to be announced — End date to be announced

A LITTLE CLARITY

Learning, with support.

Save private notes, ask a question in your enrolled class and review your quiz feedback. Learn Guide can help you find platform information while you stay on the page.

Read learning FAQs
KNOW SOMETHING WORTH SHARING?

Help someone take their next step.

Teach with Pepoint
FIND YOUR NEXT STEP

What are you curious about?

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