Free 4 Week Data Science Course on AI Quality Management

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 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 completion of all 4 classes
• Limited edition T-shirt, upon completion of all 4 classes