Generative AI for Workplace Productivity

Programme Summary

Generative AI can assist with routine knowledge work when tasks, data boundaries and review responsibilities are clearly defined. This programme develops practical skills in selecting suitable uses, writing prompts, grounding responses in supplied information and checking outputs. Participants build a small workplace workflow and document the human verification needed before using its results in business communication or decision support.

Training Objectives

1 Develop practical understanding of generative AI capabilities; 2 Improve task selection and structured prompt design; 3 Strengthen verification of AI generated business outputs; 4 Promote responsible handling of confidential and personal information; 5 Build repeatable workflows with clear human review responsibilities.

Learning Outcomes

1 Select suitable AI uses for stated workplace scenarios; 2 Write prompts with context constraints and output requirements; 3 Check generated claims against supplied authoritative source material; 4 Identify sensitive information that must not be uploaded; 5 Document a reusable workflow with verification checkpoints.

Target Audience

Administrative Officers; Business Analysts; HR Coordinators; Marketing Executives; Operations Managers; Learning and Development Officers.

Target Industries

Professional Services; Manufacturing Administration; Retail Head Offices; Healthcare Administration; Education Administration; Logistics Services.

Course Contents

• Module 1 Generative AI Fundamentals: Generated content and probabilistic model behaviour; Capabilities limitations and appropriate workplace expectations; Human accountability for final business outputs.
• Module 2 Selecting Suitable Workplace Tasks: Task value and error consequence assessment; Low risk drafting summarising and planning; When specialist judgement or approval is required.
• Module 3 Privacy Security and Responsible Use: Approved tools and organisational usage rules; Confidential personal and restricted input information; Bias intellectual property and transparent AI use.
• Module 4 Prompt Design and Iteration: Task context constraints and output structure; Providing examples and relevant source material; Testing revising and comparing prompt results.
• Module 5 Grounding and Output Verification: Checking claims against reliable supplied evidence; Recognising fabricated references and unsupported conclusions; Verifying calculations omissions and misleading summaries.
• Module 6 Practical Productivity Workflows: Drafting messages from approved source information; Summarising documents without losing important qualifications; Building checklists and structured planning drafts.
• Module 7 Workflow Controls and Evaluation: Human review gates and approval responsibilities; Quality time and rework comparison measures; Recording prompts sources checks and limitations.
• Module 8 Applied Workplace AI Task: Producing a controlled business communication draft; Documenting independent verification and necessary corrections; Explaining data boundaries and final human decisions.

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.
• Written exam closed book; practical permits only the assigned AI tool, supplied documents and controlled verification resources.
• Individual applied assessment (30 minutes): Use the assigned AI tool to draft a short business briefing from supplied documents. Submit the prompt log, corrected final output and verification checklist identifying unsupported claims, source checks and information excluded for confidentiality.
• Assessment criteria: Quality and traceability of output verification; Protection of confidential and personal information; Fitness of the corrected output for its purpose.
• Pass each component separately: 30/40 written marks (75%) and at least 70% on the applied task.
• All mandatory criteria must pass: Do not upload information classified as restricted in the supplied scenario; Correct or explicitly flag material unsupported claims before presenting the final output.
• 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 workplace generative AI skills; it does not confer AI professional certification or authorise use of confidential data in unapproved systems.
• 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

Basic computer and document skills are required. No coding experience is needed; participants must use the approved training environment and supplied nonconfidential data.Basic computer and document skills are required. No coding experience is needed; participants must use the approved training environment and supplied nonconfidential data.Basic computer and document skills are required. No coding experience is needed; participants must use the approved training environment and supplied nonconfidential data.

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

Complete a 20 minute digital readiness check and identify two routine tasks suitable for discussion without uploading any workplace information.Complete a 20 minute digital readiness check and identify two routine tasks suitable for discussion without uploading any workplace information.Complete a 20 minute digital readiness check and identify two routine tasks suitable for discussion without uploading any workplace information.

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. All mandatory criteria must pass.75% written and 70% applied, passed separately; full attendance. All mandatory criteria must pass.75% written and 70% applied, passed separately; full attendance. All mandatory criteria must pass.