Generative AI Governance Virtual

This course will help you unlock the secrets of effective Generative AI governance and master the challenges and ethical principles involved.

Course overview

About the course

Tackle the challenges and ethical principles, understand governance structures and risk management, and learn how to integrate governance into your Generative AI projects.

Duration

The course includes 4 hrs of live instructor-led learning.

Learning objectives

Understand the importance of governance in Generative AI
Identify and address governance challenges in Generative AI, including ethical considerations and regulatory landscape
Recognize the role of governance in Generative AI projects for ensuring accountability and mitigating risks
Explore ethical foundations in Generative AI, including principles, moral dilemmas, and responsible development
Implement ethical guidelines in Generative AI through fairness, bias mitigation, and privacy protection
Establish governance structures and committees for Generative AI, defining roles, best practices, and communication strategies
Learn risk management in Generative AI projects, including identification, mitigation strategies, and real-world case studies
Integrate governance into the Generative AI project lifecycle, considering model selection, data sourcing, and auditing
Explore future trends in Generative AI governance, including regulatory landscape, ethical innovation, and career opportunities

What's covered?

Introduction to Generative AI governance
Ethical frameworks and principles
Governance structures and committees risk management in AI projects
AI project lifecycle and governance future trends in AI Governance

What's included?

The course includes 4 hrs of live instructor-led learning.

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