AI Regulation and Compliance Training in Durban

This instructor-led training in Durban enables managers to grasp their obligations under the EU AI Act, along with the necessary governance and strategic implications. Participants will learn to define priorities, establish clear accountability lines, communicate risks effectively, and construct robust governance structures to ensure compliance.

This instructor-led, live training in Durban (online or onsite) is designed for intermediate-level AI professionals, business leaders, and compliance officers who wish to understand and implement ethical practices in AI systems. The course covers key ethical frameworks, regulatory standards like the EU AI Act, and practical techniques for auditing AI systems to mitigate bias and enhance transparency.

By the end of this training, participants will be able to:

• Understand core principles of responsible AI, including fairness, accountability, and transparency.
• Identify and mitigate biases within AI systems.
• Implement ethical frameworks and conduct AI audits for compliance.
• Apply governance strategies to manage ethical risks in AI deployment.

What delegates will learn

• AIGP training teaches how to develop, integrate, and deploy trustworthy AI systems in line with emerging laws and policies. The curriculum provides an overview of AI technology, a survey of current law, and strategies for risk management, security and safety considerations, privacy protection, and other topics.
• Establish a foundational understanding of AI systems, their use cases, the societal impacts of AI, and the principles of responsible AI.
• Demonstrate an understanding of how current and emerging laws apply to AI systems, and how major frameworks can be governed responsibly.
• Show comprehension of the AI life cycle, the context in which AI risks are managed, and the implementation of responsible AI governance.
• Present awareness of unforeseen concerns regarding AI and knowledge of debated issues surrounding AI governance.
• This training teaches critical AI governance concepts that are also integral to the AIGP certification exam. While not purely a “test prep” course, this training is appropriate for professionals who plan to certify, as well as for those who want to deepen their AI governance knowledge. Both the training and the exam are based on the same body of knowledge.

Course objectives turn software and AI engineers into legal engineers — professionals who can actually build AI for legal work (eDiscovery, review, investigations).

In two days, participants build the full core stack: ingesting and extracting messy real-world legal data, searching and retrieving it, adding retrieval-augmented generation (RAG) with citations, maintaining privacy on a local model and proving it, running a defensible AI review with court-ready metrics, and packaging the result for deployment.

By the end of this training, participants will be able to:

• Master enterprise prompt architecture across six layers: Role, Context, Constraints, Domain Standards, Format, and Examples.
• Encode business, security, and compliance constraints (such as GDPR, the EU AI Act, and sector-specific standards) directly into prompts.
• Co-build a prompt library that is validated, shared, and governed by all teams.
• Define sustainable governance structures, including the Prompt Curator role, naming conventions, versioning, and quality metrics.
• Depart with concrete deliverables: Library v1.0, a Governance Charter, and a 30-Day Deployment Plan.

Course format for participant assessment

• Interactive multi-profile workshops tailored for Architects, Developers, QA professionals, and Team Leaders.
• Facilitated co-construction led by an architect-consultant, ensuring participants build real, operational deliverables.
• All co-built deliverables remain the sole property of the client organization.

Course customization options

• To request a customized version of this training, please contact us to arrange the necessary details.