AI Governance, Responsible AI Specialist

AI is transforming organisations, yet governance is struggling to keep pace. As regulation tightens and AI risk becomes a board level priority, demand for AI governance professionals is rising rapidly.
This course equips you with practical, job ready skills in AI risk, oversight, and accountability so you can compete confidently for AI governance and AI risk roles.
You will move from AI awareness to role ready, equipped to secure AI governance and AI risk positions with confidence.
Identify and categorise AI specific risks across the AI lifecycle
Design structured controls and accountability mechanisms for AI systems
Develop a professional AI risk register suitable for organisational use
Complete a structured AI impact assessment aligned with regulatory expectations
Translate your existing experience into AI governance competencies
Present AI risk and oversight concepts confidently in interviews and executive discussions

Author, academic, and AI governance practitioner.
Ambitious professionals seeking to transition into AI governance and secure high value roles aligned with emerging regulation.
Professionals in risk, compliance, cyber, audit, legal, policy, or data who want to position themselves at the forefront of AI governance.

Live sessions
Learn directly from Elhannah in a real-time, interactive format.
Certificate of Completion
Share your new skills with your employer or on LinkedIn.
Job Search Accelerator
Resume templates and Linkedin Optimisation
Life time recording access
Acess to all the sessions forever !
Ready to use ai Governance Templates
AI Risk Register template , AI Impact Assessment template, Sample AI governance control library, Executive level AI risk briefing template
Community of Peers
Private cohort community for peer discussion
AI Governance Career Positioning Workbook
Practical workbook on how to position yourself
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund through the second week of the course.
7 live sessions β’ 30 lessons
Mar
25
Apr
1
Live sessions
1 hr / week
Wed, Mar 25
6:00 PMβ7:00 PM (UTC)
Wed, Apr 1
5:00 PMβ6:00 PM (UTC)
Wed, Apr 8
5:00 PMβ6:00 PM (UTC)
$200
USD