Computer Science Course

Responsible AI

Building a Future of Ethical Innovation

Lead AI initiatives with confidence and integrity.

In-person
Oct 6-8, 2025
$2,100
Register

Location:

Ann Arbor, MI

Schedule:

8:30am-4:30pm ET
Remote-Live
Oct 6-8, 2025
$1,800
Register

Location:

Synchronous on Zoom

Schedule:

8:30am-4:30pm ET

Course Summary

Learning Objectives

Course Overview

Credentials

Instructional Team

Course Summary

Instruction Time Completion Time CEUs
Responsible AI 3 days Canvas access ends after 30 days 2.75

The technological landscape is rapidly evolving, and artificial intelligence courses like Responsible AI are essential for leaders navigating the changes. Artificial intelligence, ethics, and business success intersect with one another in a unique and challenging way. With tools and knowledge from this immersive certificate course, professionals can tackle these real-world challenges responsibly. 

Led by Michigan alumna Lisa Thee, Responsible AI prepares professionals to ethically integrate AI into their work processes. This interactive course blends theory with practical case studies. Learners return to their workplaces with actionable strategies to manage the development and deployment of AI.

Learning Objectives

  • Understand the core principles of responsible AI, including fairness, bias reduction, transparency, and accountability.
  • Develop strategies for ethical AI implementation that align with legal, compliance, and business standards.
  • Explore data privacy and security practices in AI.
  • Analyze real-world case studies to understand AI models in highly regulated industries.
  • Gain practical tools and frameworks to manage risk and ensure accountability.
  • Build leadership skills to drive AI initiatives and foster a culture of ethical innovation within your organization.

Course Overview

This week-long artificial intelligence course takes place in Ann Arbor, Michigan. Throughout the program, professionals engage in hands-on activities, case studies, and interactive discussions.

As part of the course, participants will tour Menlo Innovations.

Guest Speaker

Carolyn Peer
CEO, Humaxa

  • Learn key ethical principles such as fairness, accountability, and transparency
  • Understand how to reduce bias in AI systems and ensure equitable outcomes
  • Explore the growing importance of data privacy in AI applications
  • Understand data protection regulations and secure handling of sensitive information
  • Dive into real-world case studies from regulated industries like healthcare and finance
  • Examine how confidential data can be used ethically in AI-driven projects
  • Learn about AI governance frameworks to manage risk and enhance accountability
  • Discover tools for building oversight and ethical decision-making into AI projects
  • Develop leadership strategies for driving responsible AI initiatives within your organization
  • Learn to balance technological innovation with ethical business practices to mitigate risk

Who Should Attend

This artificial intelligence course is for professionals across industries. It can help anyone who is integrating AI technologies into their work or leading AI initiatives. This includes:

  • Directors and VPs in technical and business roles who want to stay ahead of AI trends
  • Mid-career professionals looking to future-proof their skills and advance into leadership roles by mastering responsible AI
  • Leaders in AI-driven industries, including healthcare, finance, and tech
  • Business leaders in HR or legal departments who want to understand how AI impacts their decision-making processes

Credentials

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Digital Badge

Digital badge earned after successful completion of this course.

Digital Certificate

Certificate will be awarded upon successful completion of this course.

Instructional Team

Lisa Thee

  • CEO, AMP Solutions LLC
  • Author, Go!: Reboot Your Career in 90 Days

What's next?

Design & Innovation
Course

Organizational Design

Leadership
Course

Transformative Leadership

Get Started

For more information or answers to any questions please email [email protected] or fill out the form.

Main Office:
2401 Plymouth Road, Suite A/B
Ann Arbor, MI 48105
(734) 647-7200
[email protected]

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