Enterprise AI Certification
Certification pathways for engineers, analysts, product leaders, and security teams—built around delivery-grade skills that show measurable outcomes.
What you’ll certify
Role-based tracks that build real capability: from design and build, to security, deployment, and operations.
- RAG pipelines and retrieval quality
- LLM integration patterns and evaluation
- Secure deployment (data controls, logging, monitoring)
- Productization and governance-ready delivery
Executive GenAI Leadership and Accreditation
Govern with Confidence. Lead with Evidence.
Our flagship program equips senior leaders and regulators to navigate the complex adoption of Generative AI. It transforms theory into actionable governance, providing the decision frameworks and evidence standards required to deploy AI safely, responsibly, and at scale.
Core outcomes for leaders
- Select and govern high value AI use cases with clear boundaries and measurable KPIs.
- Establish a minimum viable operating model with defined accountability and risk acceptance.
- Demand and validate evidence from impact assessments to monitoring logs before scaling any initiative.
- Translate AI risks into inspectable controls and documentation for audit and regulatory review.
- Localize governance frameworks for specific regional regulatory and ethical expectations.
Program structure & differentiation
- Vendor Neutral Curriculum: Focused purely on governance, strategy, and risk, not tools or platforms.
- Scenario Driven and Evidence Based: Uses executive tabletop exercises to force real world trade offs and decisions.
- Regulator Ready Frameworks: Includes a dedicated track and materials to align organizational controls with supervisory expectations.
- Paid Accreditation: Offers prestigious, exam based credentials (C GEL, C GEL R, C GET) to validate expertise and commitment.
- Regional Variants: Tailored content and playbooks for specific regulatory landscapes, including comprehensive Saudi and GCC localization.
Who it’s for
- C Suite Executives and Board Members
- Heads of Transformation, Risk, Compliance, and Legal
- Regulators and Public Sector Leadership
- Partners at Advisory and Audit Firms
This is the definitive step for organizations that view AI not just as a technology project, but as a strategic imperative requiring executive-level governance and accountability.
Tracks
- Product & Use-Case Owner
- AI Engineer (RAG + integration)
- Data & Analytics Practitioner
- Security / Privacy Champion
Assessment
- Hands-on project submission
- Practical scenario exam
- Governance checklist evaluation
- Peer review + instructor rubric
Sample format
- Week 1 — Foundations + platform orientation
- Weeks 2–3 — Build sprint: RAG / workflows / integration
- Week 4 — Security + evaluation + release readiness
- Final — Capstone review & certification
Formats are flexible: 1–2 day executive briefings, 2–6 week cohorts, or delivery bootcamps that compress skills into a practical build sprint.
FAQ
Is this aligned to PDPL/NCA expectations?
Yes—tracks include data handling, auditability, and security posture as first-class requirements.
Can we certify at scale?
Yes—cohorts can be run in parallel with standardized rubrics and automated assessments.
Do you provide certificates?
Yes—digital certificates and completion records can be issued per track and cohort.