Udemy – Principles of Governance in Generative AI 2024-10

Published on: 2024-11-18 19:40:20

Categories: 28

Description

Principles of Governance in Generative AI course. This course provides a comprehensive survey of governance, regulatory compliance and risk management frameworks designed for the emerging field of generative artificial intelligence (GenAI). Designed for professionals seeking a deeper understanding of the theoretical foundations of effective GenAI governance, this course emphasizes the complex interplay between innovation, ethics, and regulatory oversight. Students will engage with essential concepts through a structured curriculum that addresses the challenges and opportunities of managing GenAI systems, equipping them to anticipate risks and align AI deployments with evolving governance standards.

What you will learn

Basics of Generative Artificial Intelligence (GenAI): Understanding the core concepts and transformative potential of GenAI technology.
The importance of governance in artificial intelligence: exploring why governance frameworks are essential for the responsible management of artificial intelligence innovations.
Risk Identification and Management: Learn how to identify, assess, and mitigate risks associated with deploying GenAI systems.
Third Party Risk Management: Gain insights into assessing and monitoring external partnerships to mitigate third party risks.
Vendor Compliance Strategies: Develop skills to ensure vendors comply with governance and security policies.
Data Leak Prevention: Understanding the risks of data leakage and exploring ways to protect sensitive information in AI workflows.
Data Governance Frameworks: Learn how to define data ownership, stewardship, and retention for AI systems.
Regulatory Compliance in Artificial Intelligence: A review of key regulations affecting GenAI, including compliance management strategies in various jurisdictions.
Implementing Access Control: Gain practical insight into role-based access controls for securing GenAI applications.
User education and awareness programs: Discovering effective strategies for developing user education and awareness initiatives.
Monitor user behavior: Learn how to monitor the use of GenAI systems to detect anomalies and prevent abuse.
Identity Governance for Artificial Intelligence Systems: Understanding how to manage user identity and verify identity securely in AI platforms.
Incident Response Planning: Developing strategies to effectively respond to AI-related incidents and conduct post-incident analysis.
Ethical Considerations in GenAI: Examining Ethical Challenges in AI Governance, Focusing on Transparency, Fairness, and Bias Reduction.
Governance of Certified Applications: Learn how to evaluate and update certified GenAI tools to align with evolving policies.
Future Trends in GenAI Governance: Gain insights into emerging technologies, trends in AI regulation, and the future of AI governance practices.

This course is suitable for people who

Business leaders and executives seeking to align AI innovation with governance frameworks and ethical practices.
Data governance and artificial intelligence specialists responsible for policy development and risk management related to productive artificial intelligence systems.
Compliance officers and legal advisors aiming to understand the regulatory landscape and ensure compliance with AI laws in various jurisdictions.
IT managers and systems administrators involved in the implementation, monitoring and security of AI platforms.
Risk management professionals seeking to enhance their skills in assessing and mitigating risks specific to AI technologies.