Responsible AI for Business Leaders
Hinda Haned
Responsible AI Advisor & Instructor
Your Responsible AI power session: from principles to practice
Responsible AI is no longer a niche topic, it’s on the agenda of regulators, boards, and business leaders everywhere. In 2024 alone, governments worldwide issued more than twice as many AI-related regulations as the year before. Add to that more than 80 frameworks, countless checklists, and a steady stream of new tools, and the field quickly feels overwhelming. The real challenge isn’t whether AI should be used responsibly; it’s knowing where to begin.
🎯This course brings you back to the foundations: cutting through the noise, grounding you in what matters, and giving you a clear path forward.
Here is detailed breakout of the course:
🟩 Week 1: Power Session | Responsible AI Primer
A focused 3-hour session that cuts through the noise and gives you a practical overview of Responsible AI governance.
🟩 Week 2: Mentoring & Application | RAI Lab
Across a week, you’ll get 1-1 mentoring to apply the tools directly to your own context, whether that’s building a governance checklist, evaluating a vendor, or stress-testing a project plan. The goal is for you to walk away with a concrete action plan tailored to your business.
What you’ll learn
Learn practical ways to lead in responsible AI, with tools you can apply today.
Explain fairness, transparency, accountability using concrete, decision-level examples
Connect RAI principles to product, policy, and workflow choices
Analyse documented AI failures to understand how ethical and operational risks emerge
Learn to spot early warning signs before risks escalate
Apply a lightweight framework to assess data, model, context, and governance risks
Identify gaps, trade-offs, and improvement actions
Apply the method to a real or hypothetical system from your organisation
Translate identified risks into prioritised, feasible next steps
Learn directly from Hinda
Hinda Haned
Responsible AI Advisor & Instructor
Who this course is for
Anyone seeking a clear, practical intro to RAI with real-world examples to apply best practices or guide others effectively.
Leaders seeking to build or improve RAI governance with concrete SOPs and case studies from leading organizations.
Professionals who need to understand and apply RAI to meet regulatory and ethical standards, using field-tested examples.
What's included
Live sessions
Learn directly from Hinda Haned in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
10 lessons • 2 projects
Week 1
Part 1️⃣ — Why responsible AI practices matter for your business
Part 2️⃣ — Building a practical RAI governance framework
Part 3️⃣ — Learning from industry leaders
Mar
9
RAIBL: power session
Week 2
1-1 mentoring sessions
Free resource
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Responsible AI Governance Essentials
Most AI governance frameworks sound good on paper but leave you wondering what to actually do next. This checklist gives you the essentials in six dimensions: governance, fairness, accountability, safety, transparency, and awareness, so you can move from principles to practice. It’s also the foundation we build on in the RAIBL course, where you’ll take these checklists further and turn them into a governance plan tailored to your own context.
Schedule
Live sessions
3 hrs / week
Three-hour power session, followed by a 1-1 mentoring session (up to 2 hours per learner).
Mon, Mar 9
8:00 AM—11:00 AM (UTC)
Projects
1 hr / week
Projects are optional, they help you apply important concepts on concrete use cases.
€1,350
EUR