Lead AI Governance, Policy, and Continuous Compliance
This course equips data scientists, ML engineers, and AI risk professionals with the strategic tools to sustain responsible AI programs at scale. You will...
By LearnQuest Network on Coursera
About This Course
This course equips data scientists, ML engineers, and AI risk professionals with the strategic tools to sustain responsible AI programs at scale. You will build KPI frameworks to measure and benchmark governance maturity, design feedback loops that strengthen compliance over successive model iterations, and create executive-level dashboards that make governance performance visible to senior stakeholders. You will also develop the collaboration skills to bridge engineering, legal, and compliance teams where you will be establishing shared accountability structures, ethics committees, and documentation workflows that embed responsible AI into your organization's culture. In the final module, you will apply regulatory foresight techniques to anticipate emerging standards across the EU AI Act, NIST RMF, and global jurisdictions, and build adaptive compliance policies that evolve with the landscape, not behind it. Learners with experience in ML, data science, or AI project management, and a working familiarity with compliance or risk concepts, will be best positioned to apply these frameworks immediately in their organizations.
Topics Covered
Frequently Asked Questions
How much does Lead AI Governance, Policy, and Continuous Compliance cost?
Visit the Lead AI Governance, Policy, and Continuous Compliance course page for current pricing and available discounts.
Who teaches Lead AI Governance, Policy, and Continuous Compliance?
Lead AI Governance, Policy, and Continuous Compliance is taught by LearnQuest Network, LearnQuest.
What skill level is Lead AI Governance, Policy, and Continuous Compliance for?
This course is designed for all levels learners.
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