| Date | Venue | Duration | |
|---|---|---|---|
| 26 - 30 October 2026 | Sandton, Gauteng | 5 Days | |
| 07 - 11 December 2026 | Sandton, Gauteng | 5 Days |
Please note: This is not a final registration, one of our team members will contact you shortly to finalise your registration.
As organisations adopt AI more widely, governing its use responsibly has become a board-level concern, not just a technical one. This course builds practical frameworks for AI governance, ethical use, data privacy, and risk management. It equips participants to set up the policies and oversight structures that let their organisation adopt AI confidently and defensibly.
The regulatory landscape is moving fast, and the dates keep shifting. The EU AI Act applies in phases: its prohibitions and AI literacy duties have applied since February 2025, and obligations for general-purpose AI models since August 2025. In 2026 the EU’s Digital Omnibus postponed the high-risk obligations to 2 December 2027 (for the Annex III use cases, such as hiring and credit scoring) and 2 August 2028 (for AI built into regulated products). The Act’s heaviest penalties, up to €35 million or 7% of global annual turnover, apply to prohibited practices; other breaches carry lower tiers. South African organisations that sell into, or use AI outputs in, the EU can fall within its reach.
Alongside it sit ISO/IEC 42001, the first certifiable international standard for an AI management system, and the NIST AI Risk Management Framework, a widely used voluntary benchmark. The AI Governance, Ethics and Responsible AI course treats these as one layered governance architecture rather than separate compliance exercises, and anchors them in South African law, including POPIA. It is case-study driven, using real governance failures and near-misses as discussion anchors, and participants leave with a draft AI governance policy framework built for their own organisation.
This AI Governance, Ethics and Responsible AI course equips you to design, implement, and defend AI governance frameworks that meet global regulatory expectations while remaining proportionate to your organisation’s scale and risk appetite. By the end of this course, participants will be able to:
Our diverse instructional approaches ensure effective learning:
– Lectures & Presentations: Engage with expert-driven, stimulating content.
– Course Material: Access well-crafted supporting resources.
– Group Work: Collaborate on discussions and case studies for practical insights.
– Workshops & Role-Play: Participate in immersive, scenario-based activities.
– Practical Application: Focus on applying theoretical knowledge in real situations.
– Post-Training Support: Receive extensive support after training for skill implementation.
Discover how our courses enhance professionals’ effectiveness in their workplaces.
The Training was almost excellent and has now contributed in shaping my career and job prospects for the better.
The facilitator was very passionate and course outline was much relevant for my designation at work and for my personal enhancement.
The Facilitator was good and very professional, he outlined the course very well. A very good Job on his part
Very interesting and interactive programme which is needed in the financial industry.
Master AI governance, ethics, and responsible AI practices covering AI risk, accountability, transparency, fairness, compliance, security, and ethical decision-making.
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