NAVIGATE
Responsible AI Leadership:
from Regulation to Innovation
As AI systems scale decisions, leadership must ensure those decisions remain aligned with human values and responsibility.
Learn to lead responsibly in an AI-driven world — understanding why Responsible AI matters, how to build and implement ethical AI systems, and where advanced technologies are taking us.
DURATION
2.5 Day Program
Full Day Masterclasses
Half-Day Courses
MODALITY
Self-Paced (Online)
Corporate In-house (F2F/Online)
TARGET AUDIENCE
Mid-Career Professionals, Program Leads, (Senior) Managers, Directors
CERTIFICATE
Awarded by MQ Learning, an EduQua Certified Swiss Academy
Grounded in peer-reviewed joint research by MQ Learning and the University of Zurich, funded by Innosuisse, and the published book AI Ethics in Practice (Springer Nature, 2025).
Collaborators
Our Programs & Masterclasses
2.5 DAYS | CORE PROGRAM
Responsible AI Leadership:
from Regulation to Innovation
Learn to lead responsibly in an AI-driven world — understanding why Responsible AI matters, how to build and implement ethical AI systems, and where advanced technologies are taking us.
4 HALF-DAY COURSES + 0.5 DAY CASE
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TRENDS, REGULATIONS, & BENEFITS
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PRIVACY, FAIRNESS, & TRANSPARENCY
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GOVERNANCE, FRAMEWORK, & MEASURES
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GENETICS, NANOTECH, & ROBOTICS
1 DAY | MASTERCLASS
Responsible AI Foundations:
from Essentials to Practice
Learn to navigate the essentials of Responsible AI — from why it matters and how the EU AI Act shapes organisations, to building AI systems anchored in privacy, fairness, and transparency.
2 HALF-DAY COURSES
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TRENDS, REGULATIONS, & BENEFITS
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PRIVACY, FAIRNESS, & TRANSPARENCY
1 DAY | MASTERCLASS
Responsible AI Strategic:
from Frameworks to Frontiers
Learn to put Responsible AI into action — implementing ethical strategies across your organization and anticipating where advanced technologies like AGI, genetics, and robotics are taking us.
2 HALF-DAY COURSES
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GOVERNANCE, FRAMEWORK, & MEASURES
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GENETICS, NANOTECH, & ROBOTICS
Our Courses
HALF-DAY | COURSE
Responsible AI Essentials:
Trends, Regulations & Benefits
RESPONSIBLE AI FUNDAMENTALS, AI REGULATION & COMPLIANCE, EU AI ACT COMPLIANCE, AI RISK AWARENESS
INSTRUCTOR
Deepak Bansal
Deepak brings over 20 years of experience at the intersection of business, technology, and human development to his work as an educator and leadership coach. His foundation is deliberately multidisciplinary — spanning Engineering (MTech, IIM Mumbai), Business (MBA, HSG Switzerland), Philosophy (MA, CIIS California), and Professional Coaching (CPCC, ACC) — a combination that allows him to approach Responsible AI with both analytical rigour and deep human insight.
A recognised expert in AI Ethics, Deepak teaches the subject at Zurich University of Applied Sciences (ZHAW), supports foundations working in this space, and served as Editor of AI Ethics in Practice, published by Springer.
Contact - deepak@mq-learning.com
Books & Research
BOOK
AI Ethics in Practice
Authors: Christian H. Hoffmann, Deepak Bansal
Publication: Springer Nature
Navigating Academic Insight, Managerial Expertise, and Philosophical Inquiry:
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Explores real-world challenges in implementing responsible AI for startups
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Engages in profound philosophical discussions, guiding readers to shape a virtuous, ethical path for AI
RESEARCH STUDY
The Hidden RoI of AI Ethics
Authors: University of Zurich, MQ Learning
Sponsor: Innosuisse, Switzerland
The Need for Ethical Decision-Making Intelligence (EDMI) in Healthcare:
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Reveals overlooked ethical risks and governance gaps in healthcare AI adoption across organisations of different sizes
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Exposes regulatory and resource gaps that shape the robustness of AI governance
