An individual sitting in front of a laptop at a desk is joined by two coworkers as they review a project.
An individual sitting in front of a laptop at a desk is joined by two coworkers as they review a project.

AI Governance and Risk in Practice

Gain the tools to establish and implement a governance framework for responsible, safe AI operation. 

The risks of ungoverned AI are real and increasingly detectable. From data privacy to algorithm bias and accountability gaps, AI governance and risk management is a crucial area of focus for organizations navigating today’s landscape.

Throughout this course, learners will be provided with a practical approach to building governance frameworks that establish oversight policies, guardrails, continuous improvement routines, and risk controls to enable responsible AI use.

Key Knowledge Areas 

Through our AI Governance and Risk in Practice course, you will: 

  • Design a governance approach for responsible AI use that includes: 
    • Policies and guardrails
    • Monitoring routines
    • Privacy, compliance, and risk management
  • Enable your organization to support compliance, manage ongoing operational risk, and improve AI use over time.

Audience

This course is designed for: 

  • Working professionals involved in AI deployment and oversight 
  • Managers and team leaders responsible for policy creation and maintaining ethical and operational standards around AI 
  • Employers looking to strengthen internal governance structures that enable responsible AI adoption 
  • Alumni seeking practical, career-relevant skills in AI risk management and organizational accountability 
     

Highlight

After successfully completing this course, you’ll receive a Credly badge and leave with a governance and risk framework with policies, guardrails, oversight structures, monitoring routines, and risk controls for responsible AI use.

Want to build towards an AI Strategy and Governance Credential? 

Complete the AI Academy’s full credential sequence with two more courses. 

Course Requirements

This 4-week, instructor-led course includes interactive live sessions accompanied by asynchronous assignments each week. All students should have access to stable Wi-Fi and a computer with Zoom capabilities.

First-time online learner? “Strategies for Success” is a one-week module that will familiarize you with our learning system before you begin your certificate program and ensure you are ready to participate. Required for all first-time, self-paced Bryant learners.

Flexible

No matter how busy your schedule is, Bryant’s online, self paced metrics course gives you the flexibility you need.

High-Caliber Instructors

All of our online courses are taught by top-notch Bryant faculty or industry experts who are leaders within their field.

Applied AI Stackable Certificate

This course is part of the Applied AI Academy. In order to receive Credential 3: AI Strategy and Governance, you must complete the following courses in addition to AI Governance and Risk in Practice:

  • Assessing AI Readiness and Opportunity
  • Leading AI Implementation and Change

AI Academy

The Applied AI Academy includes nine 4-week courses organized into three stackable credentials. Participants can complete a certificate sequence or take individual courses based on their goals and experience.

Certificate 1

AI Foundations for Professionals

Build practical AI literacy for everyday work.

Build practical AI literacy for everyday work.

Certificate 2

Applied AI for Business

Learn to apply AI to business challenges and decisions.

Learn to apply AI to business challenges and decisions.

Certificate 3

AI Strategy & Governance

Prepare to lead AI adoption and responsible implementation.

Prepare to lead AI adoption and responsible implementation.