- Providing in-person and video computer training
New seminar:
Microsoft Copilot
Learn how to prevent AI bias, governance failures and regulatory risk
If you use AI in your products, operations or decision making, you need responsible AI ethics risk management training.
Learn how trust, accountability and compliance matter when using AI.
Why Responsible AI Matters
AI is moving from experimentation into production, and the risks are real. Organizations need to understand governance to prevent unfair outcomes, opaque decisions, privacy problems or regulatory exposure.
You will learn about preventing bias, ensuring fairness, guarding privacy and complying with regulations.
Guidance for leaders and teams
Both leaders and team members need to learn responsible use of AI to:
- Identify algorithmic bias
- Ensure transparency and explainability
- Manage privacy and data risk
- Prepare for AI regulation
Do You Need This?
If you are implementing or using AI in your products, operations or workflows:
- Executives and business leaders
- Data scientists and engineers
- Product managers
- Risk and compliance teams
- Technology leaders
- Governance and policy teams
Training Formats
Executive Briefing
- 90-minute session for senior leadership
- Covers AI risk, governance responsibilities and regulatory direction
Half or full-day workshop
Combines frameworks, case studies and interactive exercises
Do You Know if Your Organization is using AI With Low Risk?
A 10-question self-assessment scores your AI governance readiness.
Ten quick questions cover governance structures, risk management, transparency and accountability. Each question is scored from 0 to 2, for a total score from 0 to 20.
About the instructor
Led by a multi-certified AI expert and technology instructor with extensive experience teaching complex technical topics to corporate audiences. The program combines governance frameworks, real-world case studies, and interactive exercises so your team can apply responsible AI principles to your work.
Build the governance, oversight and shared understanding your organization needs to deploy AI with greater confidence.