EU AI Act Compliance for Management and Leadership Training Course

This instructor-led, live training in Kenya (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.

This instructor-led session in Kenya delves into the effects of AI and machine learning on data governance, compliance, and organizational risk management. Attendees will learn to spot governance hurdles, execute DPIAs, and ensure AI deployments align with critical regulatory and ethical standards.

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

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

Course format for participant assessment:

• Interactive multi-profile workshops (Architects, Developers, QA, Team Leaders).
• Facilitated co-construction by an architect-consultant: participants build real, operational deliverables.
• All co-built deliverables belong entirely to the client organization.

Course customization options

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

This live, instructor-led course in Kenya guides beginner-level end users through EU AI Act compliance. Learn to spot prohibited practices, adhere to safe-use policies, report incidents effectively, and document basic evidence. Participants will develop practical skills for managing daily AI interactions in the workplace.

This live training in Kenya supports mid-level governance, compliance, and risk professionals in establishing AI programs compliant with the EU AI Act. The curriculum covers the interpretation of regulatory duties, the creation of governance workflows, risk assessment, and audit preparation, all reinforced through practical exercises.

This practical training in Kenya provides IT professionals with the engineering controls essential for EU AI Act compliance. Master the design of secure CI/CD pipelines, the implementation of observability, and the generation of audit-ready evidence. This course is ideal for teams seeking practical, technical strategies to meet compliance standards.

Delegates will learn how to

• 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 foundational knowledge of AI systems and their use cases, the impacts of AI, and comprehension of responsible AI principles.
• Demonstrate an understanding of how current and emerging laws apply to AI systems, and how major frameworks are capable of being responsibly governed.
• Show comprehension of the AI life cycle, the context in which AI risks are managed, and the implementation of responsible AI governance.
• Presents awareness of unforeseen concerns with 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 transform software and AI engineers into legal engineers—professionals capable of constructing AI solutions for legal tasks such as eDiscovery, review, and investigations.

In two days, participants will build the full core stack: ingesting and extracting messy real-world legal data, searching and retrieving it, adding retrieval-augmented generation (RAG) with citations, ensuring privacy via local models to prove compliance, conducting defensible AI reviews with court-ready metrics, and packaging the result for deployment.