Artificial Intelligence for Business Leaders

Programme Summary

Business leaders need enough AI understanding to select useful applications, challenge claims and govern implementation responsibly. This programme explains core AI capabilities and limitations through business scenarios. Participants evaluate candidate use cases, assess data and organisational readiness and prepare a pilot recommendation that balances value, cost, risk, human oversight and measurable evidence of performance.

Training Objectives

1 Build practical understanding of AI capabilities; 2 Improve selection of credible business use cases; 3 Strengthen assessment of data and organisational readiness; 4 Support proportionate AI governance and human oversight; 5 Develop measurable pilot and investment recommendations.

Learning Outcomes

1 Distinguish major AI approaches and limitations; 2 Evaluate an AI use case against business needs; 3 Identify data capability and adoption requirements; 4 Define practical oversight and risk controls; 5 Prepare a pilot plan with success criteria.

Target Audience

Business Leaders; Department Managers; Transformation Managers; Product Managers; Operations Managers; Risk Managers.

Target Industries

Financial Services; Manufacturing; Retail; Healthcare Administration; Professional Services; Logistics.

Course Contents

• Module 1 AI Business Fundamentals: Predictive generative and rule based approaches; Capabilities limitations and common misconceptions; Matching techniques to business problems.
• Module 2 Use Case Discovery: Customer operational and decision support opportunities; Problem clarity and measurable business outcomes; Suitability constraints and non AI alternatives.
• Module 3 Data and Capability Readiness: Data quality access and representativeness; Skills systems integration and process ownership; Supplier dependence and operational support needs.
• Module 4 Value and Investment Appraisal: Costs benefits uncertainty and implementation effort; Pilot scope and credible baseline measures; Avoiding unsupported productivity or accuracy claims.
• Module 5 Risk and Responsible Use: Privacy security bias and reliability concerns; Human oversight and accountable decisions; Appropriate escalation for high consequence applications.
• Module 6 Implementation and Adoption: Stakeholder engagement and workflow changes; User training feedback and support; Procurement assurance and change governance.
• Module 7 Performance and Lifecycle Management: Evaluation criteria and ongoing monitoring; Drift failures and incident response responsibilities; Review retirement and supplier changes.
• Module 8 AI Leadership Workshop: Comparing candidate business use cases; Designing a controlled AI pilot; Presenting value risk and governance recommendations.

Assessment

• 40 single best answer questions, including applied scenarios; one mark per question.
• 60 minute invigilated digital examination with identity verification. Approved accessibility adjustments preserve the assessed competence.
• Supplied reference pack permitted; external internet and AI assistance prohibited.
• Individual applied assessment (30 minutes): Evaluate an AI use case and prepare a pilot recommendation covering business value, data readiness, oversight controls and measurable success or stop criteria.
• Assessment criteria: Fit of AI use case to business need; Completeness of readiness and risk analysis; Clarity of pilot measures and governance.
• Pass each component separately: 30/40 written marks (75%) and at least 70% on the applied task.
• Individual results and feedback are provided. One reassessment may follow coaching under the published enrolment terms.

Certification

• Successful learners receive a TQCSI Arabia digital Certificate of Successful Completion.
• The certificate records the learner name, exact programme title, teaching hours, completion date and unique verification reference.
• Verified identity, full attendance and separate written and applied passes are required; all mandatory critical criteria must be met.
• Proposed issue target: within 30 calendar days of approved results and settlement of applicable fees.
• Records assessed AI business leadership skills; it does not qualify participants as AI engineers or certify an AI system.
• Attendance confirmation may record completed hours for unsuccessful learners; it does not certify successful completion.

Programme Profile

Number of daysNumber of daysNumber of days

222

Total teaching hoursTotal teaching hoursTotal teaching hours

12 hours; breaks, pre course work and formal final assessments excluded.12 hours; breaks, pre course work and formal final assessments excluded.12 hours; breaks, pre course work and formal final assessments excluded.

Delegates allowedDelegates allowedDelegates allowed

Maximum 20 delegates.Maximum 20 delegates.Maximum 20 delegates.

Training prerequisitesTraining prerequisitesTraining prerequisites

Management or business planning experience is recommended. No programming, mathematics or prior AI qualification is required.Management or business planning experience is recommended. No programming, mathematics or prior AI qualification is required.Management or business planning experience is recommended. No programming, mathematics or prior AI qualification is required.

Pre course assignment and assessmentPre course assignment and assessmentPre course assignment and assessment

Review three fictional AI use cases and identify value assumptions during a 25 minute exercise.Review three fictional AI use cases and identify value assumptions during a 25 minute exercise.Review three fictional AI use cases and identify value assumptions during a 25 minute exercise.

End of course assessmentEnd of course assessmentEnd of course assessment

40 question written exam (60 minutes) and individual applied task (30 minutes).40 question written exam (60 minutes) and individual applied task (30 minutes).40 question written exam (60 minutes) and individual applied task (30 minutes).

Passing criteriaPassing criteriaPassing criteria

75% written and 70% applied, passed separately; full attendance.75% written and 70% applied, passed separately; full attendance.75% written and 70% applied, passed separately; full attendance.