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AI 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.

Learning Outcomes:

After this course, participants will be able to:

  • 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.

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.

Date
Format
ID
Fee
 
 May 12-13, 2026
Madison, WI or Live Online
ID: E055
Fee: $1,695View Discounts

Create a custom learning experience

We can deliver this course as an on-site learning experience tailored to your organization’s specific training needs.