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Implement GenAI Governance: AI Security & Compliance
Role Play
Rating: 4.8 out of 5(8 ratings)
1,857 students

Implement GenAI Governance: AI Security & Compliance

Third-Party Risk, Data Leakage, Access Policies, Identity Governance, User Monitoring & Regulatory Compliance
Role Play
Created byDr. Amar Massoud
Last updated 6/2026
English

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

Course content

12 sections • 25 lectures • 2h 36m total length

  • Introduction5:22
  • Understanding GenAI4:20

    Discover how generative AI creates new content with neural networks, including GANs and GPT transformers, for text, images, and videos, while considering governance and ethical guidelines to address deepfakes.

  • Principles Of Governance6:46
  • Our Use Case - IntelliGen Solutions and its Product, GenAssist4:15

    Explore GenAI governance through the Genesis II use case, showing how Intelligent Solutions deploys Genesis AI to ensure data privacy, security, compliance, and ethical AI practices across operations.

Requirements

  • No prior AI governance experience needed; everything will be covered
  • Basic understanding of AI and data security is helpful
  • Familiarity with organizational governance structures is beneficial

Description

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.

Who this course is for:

  • AI professionals looking to enhance their governance knowledge
  • Data security officers interested in GenAI compliance
  • Managers responsible for AI system oversight and risk management
  • Anyone seeking to understand AI governance in practical terms

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