Oct 27th - Nov 17th

Free 4-Week Course

AI Quality

Driving ML Performance
and Trustworthiness

COURSE IS NOW FULL.

Please sign up for the waitlist or future course notifications.

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For data science practitioners

shutterstock_workshop _1761536960-1000px

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Learn to analyze & improve model performance

Are you a data scientist interested in learning more about how to analyze and improve the performance and trustworthiness of your machine learning models? This 4 week, live course is for you. AI Quality: Driving ML Performance and Trustworthiness is a free course for practitioners, taught live by experts from leading universities. Each 90 minute class covers the essentials of a key topic for managing machine learning models.
date

Oct 27th - Nov 17th
(4 consecutive Wednesdays)

premium

Ideal for US and
EU-based data scientists
Any corp data scientist
can enroll.

clock

10:30 AM Pacific/
1:30 PM Eastern/
6:30 PM London

mail

For data science professionals
Use your corporate or government email address.

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In this free course, you will learn:

  • ML Explainability  - How do you explain model predictions? What are best practices for local and global explanations, and conceptual soundness assessment? Which methods are most appropriate for various use cases?
  • Accuracy and Performance Debugging - How can you systematically analyze model accuracy? How can you rapidly identify model errors  to drive improvements? 
  • Model Drift - Does your production model need to be refreshed? How do you measure model score and data drift on an ongoing basis? How can you understand the root causes of drift, and debug your models in a directed way? 
  • Fairness  - How can you ensure that your models are set up to be fair and compliant, and remain fair over time? What are best practices for choosing fairness metrics, understanding root causes and mitigating fairness gaps, leveraging humans in the loop?
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What you get:

  • Free 4 week course taught live by leading experts in AI Quality and machine learning effectiveness. 
  • Free use of TruEra software for the duration of the course
  • A class filled with peers tackling real-world projects, and access to the AI Quality Slack community
  • Course certificate, upon course completion
  • Limited edition T-shirt, upon course completion

Fall 2021 course is now full. Sign up for the waitlist or to be notified of future courses.

This course is limited to AI and ML practitioners in corporate and government settings. Please use your corporate or government email address to apply and we will inform you if you are selected to participate. Submit your application soon - spots are limited!

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Instructors

Anupam_Datta 1

Anupam Datta

Professor

Carnegie Mellon University

Trevor_Eddy 1

Arridhana Ciptadi

PhD

Georgia Institute of Technology

Diviya

Divya Gopinath

BS, MS

MIT

piotr

Piotr Mardziel

PhD

University of Maryland

Shayak_Sen 1

Shayak Sen

PhD

Carnegie Mellon University


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About TruEra

TruEra provides AI Quality solutions that analyze machine learning, drive model quality improvements, and build trust. Powered by enterprise-class Artificial Intelligence (AI) Explainability technology based on six years of research at Carnegie Mellon University, TruEra’s suite of solutions provides much-needed model transparency and analytics that drive high model quality and overall acceptance, address unfair bias, and ensure governance and compliance.

Learn More
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