AnitaB.org Responsible AI Certification

Prepare to lead strategic AI transformation responsibly. Our Responsible AI Certification equips professionals with the skills, strategies, and governance frameworks needed to implement ethical, effective, and future-ready AI initiatives in their organizations.

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Details

The Responsible AI Certification will take place over two full days in March 2026 in Chicago. Participants will engage in interactive sessions, hands-on exercises, and strategic planning activities designed to help you lead responsible AI transformation in your organization.

Date

March 17-18, 2026

Location

Chicago, IL

Pricing

$2,400; includes all training sessions, course materials, and access to the participant workspace. Travel and lodging are not included.

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Who This Certification Is For

AI leaders, managers, and strategists

Technology professionals driving AI adoption

Organizational leaders seeking ethical AI integration

What You’ll Learn

Participants will gain practical, hands-on knowledge in:

Responsible AI & Generative AI Tools

Build fluency with emerging technologies while applying responsible AI principles.

AI Governance & Data Privacy

Learn policy frameworks to ensure safe, ethical, and compliant AI adoption.

Strategic AI Leadership

Gain insight into workflows, communication strategies, and organizational policies that scale

Prompt Engineering & Productivity

Apply prompt engineering techniques to boost efficiency and decision-making.

Benefits of Certification

By completing our Responsible AI Certification, you will:

  1. Gain practical, ethical AI skills to enhance workplace productivity.
  2. Build fluency with generative AI tools and responsible AI principles.
  3. Learn foundational concepts in AI governance, adoption phases, and data privacy.
  4. Gain insight into strategic leadership approaches for guiding AI transformation.

Expected Outcomes

After completing the program, you will be able to:

  • Understand AI adoption phases and apply policy frameworks effectively.
  • Design AI-integrated workflows and communication strategies.
  • Apply prompt engineering techniques to drive productivity.
  • Strengthen decision-making with AI-powered tools.

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