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Artificial Intelligence: Strategy and Governance
This short course provides engineers and technical leaders with a comprehensive understanding of Artificial Intelligence (AI) strategy and governance principles, frameworks, and practical implementation strategies. Participants will learn about AI strategy and organization, explore the ethical, legal, and operational challenges of deploying AI systems responsibly, and learn how to build governance structures that ensure AI aligns with organizational values, societal expectations, and regulatory requirements.
Who Should Attend?
Engineers, technical leads, and project managers who seek to leverage AI strategically, implement robust governance frameworks, and ensure responsible AI development and deployment within their organizations.
- Identify different organizational models for achieving strategic goals involving AI within a company's structure.
- Understand key principles relevant to responsible AI, including fairness, explainability, transparency, privacy, security, reliability, and robustness.
- Develop strategies for assessing and mitigating risks associated with AI deployment.
- Design an AI governance framework for an organizational context.
- Implement practical techniques for data governance, responsible AI implementation, and AI system auditing throughout the AI lifecycle.
Artificial Intelligence: Strategy and Governance
Date: Tue. May 12, 2026 – Wed. May 13, 2026ID: RA00103 - E055
Fee:
- $1,695
This course has two attendance options, face-to-face or online.
Face-to-face attendance fee includes morning and afternoon breaks, scheduled lunches, and course materials.
Online attendance fee includes online instruction and course materials. Online attendees will access course sessions via the Zoom web conferencing platform.
Team Discount. Receive 20% off the registration fee per person when 3 or more individuals from the same organization enroll. Team affiliation will be confirmed as part of the registration process.
Credits:
Instructor: - CEU: 1.4
- PDH: 14
Laura Albert, Ph.D.
Location: