Udemy – Principles of Governance in Generative AI 2024-10

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.

Installation guide

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