Applying module skills

Instruction and application

In Progress

This module focuses on 3 key skills that you will develop by completing async units and attending workshops:

**Skill 1:**Understand security principles specific to ML workflows to implement safeguards that protect data and models throughout the ML lifecycle.
**Skill 2:**Design and implement compliant ML systems that adhere to data privacy regulations and governance frameworks.
**Skill 3:**Develop strategies to identify, assess, and mitigate compliance and data privacy risks associated with ML projects.Design and implement compliant ML systems in the real-world

In 2021, Meta implemented a system-wide update to its ad-targeting ML pipeline to comply with new EU privacy regulations, restructuring its model training workflows to exclude sensitive personal data fields.

This helped Meta avoid regulatory fines, maintain platform trust, and continue providing personalised experiences without breaching GDPR rules.

By automating compliance checks across ML workflows, teams can proactively adapt to future regulations and reduce the risk of costly rework or penalties.

**Directions:**Read the module skills listed above.

Choose a module skill and think of 3 ways to apply it in your role
Choose the bestpotential application
Create a post for the group explaining how you’d like to apply this skill this month
Post your explanation in the discussion board below by clicking ‘+ Create topic’
If you finish early, review what others have posted.

Action item: Share how you will apply module skills to your workplace.​

Action item: Share how you will apply module skills to your workplace.