Responsible AI Strategy: Governance, Frameworks & Measures

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Lesson series

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

Course overview

Learn to turn Responsible AI from principle into practice — embedding ethics into your strategy, governance, and day-to-day operations. This course gives you practical guidance on implementing Responsible AI across the organization, from executive leadership and culture to operational controls and ethical frameworks. Apply explainable AI, stay aligned with regulations like the EU AI Act, and build the governance structures needed to scale AI responsibly, reduce risk, and drive sustainable business value.

Certification

"Certificate in Responsible AI Strategy" 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

6 Videos (44 mins)
4 Assignments
Various Resources (templates, videos, articles)

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STRUCTURE

Introduction
Chap. 1: Strategic Governance
Chap. 2: Tactical Frameworks
Chap. 3: Operation. Measures
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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