Udemy

Implement GenAI Governance: AI Security & Compliance

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  • 1,854 Students
  • Updated 3/2026
4.8
(07 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 36 Minute(s)
Language
English
Taught by
Dr. Amar Massoud
Rating
4.8
(07 Ratings)

Course Overview

Implement GenAI Governance: AI Security & Compliance

Third-Party Risk, Data Leakage, Access Policies, Identity Governance, User Monitoring & Regulatory Compliance

Welcome to GenAI Governance: Ensuring AI Security, Compliance, and Ethical Practices, a comprehensive course designed to equip you with the knowledge and skills to effectively manage generative AI systems. In this course, you will learn how to implement governance frameworks that ensure your AI applications adhere to security, privacy, and regulatory standards, while maintaining ethical practices.

Whether you're an AI professional, data security officer, or manager overseeing AI projects, this course will provide you with actionable insights and practical tools for managing AI governance. You’ll explore essential topics such as data privacy, risk management, behavioral analytics, and incident response planning. Additionally, we’ll guide you through real-world case studies, using IntelliGen Solutions and its product, GenAssist AI, as a practical example.

By the end of this course, you’ll be able to effectively apply governance strategies to your AI systems, ensuring they operate securely and ethically. You will also learn how to identify and mitigate risks, monitor user behavior, and comply with regulatory frameworks like GDPR and CCPA.

This course is suitable for AI professionals, managers, and anyone interested in mastering AI governance in a practical and hands-on way. No prior experience in governance is required, making this course accessible to beginners as well as seasoned professionals looking to deepen their knowledge. Start your journey toward mastering AI governance today and ensure your systems are secure, compliant, and ethically sound.

Course Content

  • 12 section(s)
  • 25 lecture(s)
  • Section 1 Introduction
  • Section 2 Third-Party Risk Management
  • Section 3 Data Leakage Protection And Rights Management
  • Section 4 Regulatory Compliance
  • Section 5 Enforcing GenAI Access Policies
  • Section 6 User Awareness Training
  • Section 7 Approved And Disapproved GenAI Applications
  • Section 8 Identity Governance
  • Section 9 Risk Modeling And Management
  • Section 10 Data Governance
  • Section 11 User Behavior Monitoring
  • Section 12 Conclusion

What You’ll Learn

  • Implement GenAI governance frameworks and best practices, Ensure data privacy, security, and regulatory compliance, Apply risk management and incident response strategies, Use behavioral analytics to monitor and improve AI systems


Reviews

  • C
    Charles Diggs
    5.0

    Thanks Doc for an incredible course!

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