Responsible AI in Practice: Privacy, Fairness & Transparency

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Lesson series

Self-Paced
3 Hours Study
60 mins Video
Quiz
Deepak (Instructor)

Course overview

Learn to design AI systems that people trust — embedding privacy, fairness, and transparency from day one. This course gives you practical tools to protect sensitive data, reduce bias, and make AI decisions explainable, while aligning with regulations like GDPR and the EU AI Act. Turn Responsible AI from a compliance requirement into a competitive advantage by building solutions that scale responsibly, avoid costly risks, and deliver sustainable business value.

Certification

"Certificate in Responsible AI in Practice" by MQ Learning, an EduQua-certified academy — Switzerland's recognized quality label for continuing education.

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TARGET AUDIENCE

Mid-level Managers, Business Directors, Program Leads, (Senior) Consultants

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CONTENT

5 Videos (60 mins)
4 Assignments
Various Resources (templates, videos, articles)

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STRUCTURE

Introduction
Chap. 1: Data Protection
Chap. 2: Fairness
Chap. 3: Transparency
Summary & Resources
Quiz

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ACCESS

Available on Mobile & Computer, 1-year Access

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Watch this preview video to get a quick overview of the course and discover what you'll learn, directly from the instructor.

Instructor

Deepak Bansal brings over 20 years of consulting and leadership experience across top firms and multinationals, including Accenture, Deutsche Post DHL, and Zurich Insurance. With degrees in MBA (St Gallen, Switzerland), MTech (IIM Mumbai, India), and MA in Philosophy (CIIS, US), he combines business acumen with human insight. As founder of MQ Learning Academy, he supports leaders in developing strategic clarity and human-centered thinking for today’s complex world.

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