NOTE: The June 16th class is full. Register here to be notified of future classes!
Free 6-Hour Course
AI Quality Workshop
Driving ML Performance
and Trustworthiness
For data science practitioners

Note: The June 16 class is now full. Register here to be notified of future classes.
Hands-on strategies for data scientists. Taught by leading experts.
June 16th-30th
(3 consecutive Thursdays)
Ideal for US and
EU-based data scientists
Any corporate data scientist
can enroll.
9:00 AM Pacific/
Noon Eastern/
5:00 PM London
For data science professionals
Use your corporate or government email address.
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?
What you get:
- Free 3-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 completion of all 3 classes
- Limited edition T-shirt, upon completion of all 3 classes
Register Here
Instructors

Anupam Datta
Professor
Carnegie Mellon University

Arridhana Ciptadi
PhD
Georgia Institute of Technology

Divya Gopinath
BS, MS
MIT

Piotr Mardziel
PhD
University of Maryland

Shayak Sen
PhD
Carnegie Mellon University
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.