Extension

Extension

Complete

Why keep learning?

ML practice evolves quickly. Staying current on delivery, risk and cost management helps your projects stay responsible and valuable as tooling and regulation change.

Dive deeper: Additional learning materials

Articles and reports

• Identifying, assessing and mitigating ML risks - framework and case studies.
• Fair ML book - ethical risks, auditing and bias reduction.

Tools and resources

• Google Responsible AI toolkit - fairness, transparency and governance practices.
• AWS cost management - ideas for controlling training and inference spend (adapt to your cloud vendor as needed).

In progress