Genai Governance

Master Generative AI Governance: Frameworks, Risk Management & Compliance for Responsible AI Implementation

What you'll learn

Understand the principles of Generative AI governance and its impact on industries.

Learn to implement governance, risk, and compliance frameworks for responsible AI.

Master strategies for risk mitigation, data governance, and third-party risk management.

Gain expertise in protecting sensitive data and enforcing effective user access controls.

Explore global AI regulations like the EU AI Act, UNESCO guidelines, and NIST frameworks.

Leverage industry-leading toolkits and frameworks to implement responsible AI practices.

Requirements

No prior experience required—just an interest in Generative AI and responsible governance.

Description

Are you a professional, enthusiast, or organization leader looking to navigate the complex world of Generative AI governance? Do you aspire to manage the risks, compliance, and opportunities associated with this transformative technology? This course is your ultimate guide to mastering the principles and practices of Governance and Risk Management in Generative AI, equipping you with the skills to thrive in an AI-driven landscape.This course dives deep into the critical frameworks and strategies needed to responsibly govern Generative AI applications. Whether you’re a technology manager, compliance officer, or a forward-thinking professional eager to stay ahead of the curve, this course provides the knowledge and tools to tackle the challenges of Generative AI with confidence.In this course, you will:Explore the foundational concepts of Generative AI, including its key differences from analytical AI.Understand the societal impacts and ethical considerations of Generative AI.Learn how to implement governance, risk, and compliance frameworks tailored for AI-driven environments.Discover the core principles of data governance and effective data life cycle management.Master the art of risk mitigation, including strategies for managing third-party risks.Build robust frameworks to protect sensitive data and enforce user access controls.Gain insights into global legal frameworks, including the EU AI Act, UNESCO guidelines, and NIST AI risk management.Leverage toolkits and frameworks to implement responsible AI practices.Why learn about Generative AI governance?Generative AI is transforming industries, but its rapid growth brings unique challenges, such as ethical dilemmas, legal complexities, and data security concerns. This course bridges the gap, empowering you to lead responsibly in this evolving landscape. Whether you’re managing sensitive data, mitigating risks, or ensuring compliance, it offers practical guidance for success.What makes this course unique?This course combines real-world applications, and industry standards, From exploring data governance frameworks to understanding global AI regulations, each lecture is crafted for actionable learning. You’ll leave with the ability to navigate the nuances of Generative AI governance with clarity and expertise.With engaging content, practical insights, and step-by-step guidance, this course is a comprehensive resource for anyone seeking to establish a solid foundation in Generative AI governance.Join me on this exciting journey into the world of Generative AI governance. Enroll now and become a leader in shaping the future of responsible AI!

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Foundations of Generative AI and Governance

Lecture 2 Introduction to AI Governance

Lecture 3 Understanding Generative AI

Lecture 4 GEN AI vs Analytical AI

Lecture 5 The Impact of Generative AI on Industries

Lecture 6 Risks and Challenges in Generative AI

Section 3: Governance, Risk, and Compliance (GRC)

Lecture 7 Overview of Governance, Risk, and Compliance

Lecture 8 Introduction to Data Governance

Lecture 9 Benefits of Implementing Data Governance

Section 4: Risk Management in Generative AI

Lecture 10 Managing Risks in Generative AI

Lecture 11 Strategies for Risk Mitigation

Lecture 12 Addressing Third-Party Risks

Lecture 13 Managing the Data Life Cycle Effectively

Section 5: Protecting Sensitive Data and User Access Control

Lecture 14 Strategies for Protecting Sensitive Data

Lecture 15 Best Practices for User Access Control

Section 6: Legal Compliance and Frameworks for Responsible AI

Lecture 16 Legal Frameworks: EU Act and UNESCO Guidelines

Lecture 17 NIST AI Risk Management Framework: An Overview

Lecture 18 Toolkits and Frameworks for Responsible AI

Section 7: Conclusion

Lecture 19 About your certificate

Lecture 20 Bonus lecture

Professionals seeking to understand and implement Generative AI governance frameworks,Compliance officers and risk managers looking to navigate AI regulations and risks effectively.,Tech enthusiasts eager to explore the ethical, legal, and practical aspects of AI governance.,Business leaders and decision-makers aiming to adopt responsible AI practices within their organizations.