Level: Beginner to Intermediate
Prerequisite: None
Artificial intelligence (AI) and generative AI are transforming industries. But without a well-thought-out strategy and governance framework, AI initiatives can face significant risks in areas that range from operational failures to ethical dilemmas. This half-day course will cover the fundamentals of AI strategy development and AI governance, providing participants with a practical framework to implement responsible AI in their organizations.
Gokula Mishra will cover how to align AI initiatives with business objectives, manage AI risks, and establish ethical guidelines that ensure fairness, transparency, and accountability. Through case studies, participants will learn how to create an AI strategy that is sustainable, compliant, and adapts to evolving technologies. The course will also address regulatory considerations and emerging best practices in AI governance.
You Will Learn
- AI and generative AI strategy development
- AI and generative AI use case development, prioritization, and roadmap
- Key components of AI and generative AI governance
- How to develop a policy, plan, and roadmap for AI and generative AI governance
- About the current regulatory landscape and compliance
- A framework and tools for governing AI and generative AI
- Best practices and future trends in AI and generative AI governance
Geared To
- Chief data and AI officers
- Head of AI governance
- Head of data governance
- Director of AI/generative AI
- Director of AI products and solutions
- Director of AI programs
- Data and analytics architects and engineers
- AI architects and engineers