Welcome to the workshop!
Welcome to the Module 9 Wrap-Up Workshop!
In this final session, we’ll recap our journey through ML security, data governance, and risk management, and look ahead to your next steps in the fellowship.

Icebreaker: Secure or Risky?
Which of these actions supports data security? Type: S (Secure),R (Risky)
- Encrypting sensitive fields
- Sharing raw data in Slack
- Auditing access logs regularly
- Reusing credentials across projects
Today's agenda
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Key takeaways:
Recap of Module 9.
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Impact opportunities:
Finding ways to apply these skills.
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Project check-in:
Milestone requirements.
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Module closeout:
Q&A and next steps.
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Module 10 preview:
What's coming next.
Key Takeaways
- Robust Security: Protecting sensitive assets maintains stakeholder trust.
- Data Governance: Alignment with ethical standards reduces legal risks.
- Proactive Risk Management: Identifying concerns before they escalate preserves reputation.
Workshop Materials
Preview or download a copy of the wrap-up slides:
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In progress