
Generative AI Trainer for Dubai Teams: Parikshit Khanna’s Teaching Approach
Updated: Oct 9
Quick answer: Parikshit Khanna is an India-based corporate AI trainer and Founder of Digital Training Jet who can discuss tailored Generative AI programmes for Dubai and UAE teams. His teaching approach connects a business task to a structured instruction, a reviewable deliverable and a verification step. Organisations can assess that approach through the proposed workshop work, supported by relevant experience rather than an unverified ranking.
All classroom scenarios in this guide are fictional or synthetic. They illustrate proposed learning activities and do not report a measured client result.
What relevant experience shows
His documented work includes an online programme for Malabar Group’s UAE-linked finance teams in July 2026. That is relevant to buyers working with finance, reporting and approved workplace tools. It should be described as online UAE-linked delivery, rather than used to imply a permanent Dubai office or in-person delivery in every emirate.
His broader professional context includes corporate training, Prasar Bharati training work, Visiting Faculty at GL Bajaj and the TEDxEicher School Faridabad Youth talk on redesigning work with AI. These establish the background for a scoping conversation. A buyer should still ask how the proposed programme fits their industry, accounts, data restrictions and learner needs.
How a trainer turns a demonstration into learning
The session begins with a task participants recognise, such as turning a reporting pack into a management note. The trainer explains the source, audience and acceptance criteria before opening an AI tool. Learners predict likely mistakes, see the first output and challenge it against the source. This makes verification part of the lesson.
Participants then change the instruction and test the same material again. The discussion distinguishes an instruction problem from a data problem or a tool-access problem. A useful trainer explains why a workflow fails and gives the learner a method for improving it, rather than showing only a polished final answer.
What to request before appointing a trainer
Ask for a sample exercise, proposed learner outputs, account requirements and assessment rubric. Confirm how material is prepared, whether real company information is necessary and how confidentiality will be handled. If an Arabic communication exercise is required, agree the human language-review process rather than assuming fluency from an AI draft.
Commercial arrangements should identify session duration, group size, preparation, travel and follow-up. The presence of a tool logo or a client name does not imply certification or a guarantee. The decision should rest on a programme that your sponsor and reviewers can inspect.
Synthetic UAE workshop scenario
A fictional Dubai finance and shared-services cohort wants to see how the trainer would teach evidence-based reporting.
Department / role | Input | Task | Prompt instruction | Deliverable | Verification |
Finance | Synthetic AED sales ledger | Explain variance | Preserve figures and state calculation method. | Reporting commentary | Analyst checks formulas |
HR | Fictional policy revision | Compare versions | List changed clauses with section references. | Change register | Policy owner checks omissions |
Operations | Fictional service incidents | Create escalation note | Separate observations from proposed actions. | Supervisor briefing | Check every incident ID |
Leadership | Fictional department summaries | Explain trade-offs | Keep uncertainties visible rather than filling gaps. | Options paper | Sponsor reviews decision evidence |

A copyable practice prompt
Act as a training participant preparing a management note. Use only the fictional source pack. Produce a summary with claims, source references, calculations and open questions. Then critique your own draft by listing places where a reviewer should check the source. Do not treat the critique as proof of correctness. Keep the final recommendation provisional until a human reviewer has checked the evidence.
How the classroom exercise works
The trainer asks each learner to explain one statement in their output and locate its source. If the source is absent, the learner must revise or remove the statement. A partner then checks the revised output independently. This tests understanding rather than familiarity with a prompt template and gives the sponsor a practical sample of learner capability.

Learning outcomes and assessment
Assess whether learners can defend their source choices, spot unsupported claims, revise a prompt and hand over the result with a reviewer checklist. Keep attendance separate from demonstrated task competence.
After feedback, repeat the exercise with a new fictional input rather than the trainer’s worked example. Explain what changed in the source and how that affects the instruction, output and review. A participant who can produce a polished draft but cannot find its evidence needs more practice before using the template at work. Retain the final sample and checking notes as the record of the learning task.
Frequently asked questions
Is Parikshit based permanently in Dubai?
He is India based. Live online training and potential onsite arrangements can be scoped through advance booking.
What UAE experience is relevant here?
The recorded July 2026 Malabar finance programme was online and involved UAE-linked teams. Further delivery claims should be supported individually.
Does portfolio experience replace a custom brief?
No. Your organisation’s workflow, tool access and reviewers determine the programme that should be proposed.
About the trainer
Parikshit Khanna is Founder of Digital Training Jet, a corporate AI and prompt engineering trainer, a TEDx speaker and Visiting Faculty at GL Bajaj Institute of Management and Research. He is India based. Live online learning and potential onsite UAE arrangements are discussed through advance booking, with the programme tailored to the audience and approved tools.
Related practical guides
Discuss your Dubai or UAE programme
Share your company, emirate, departments, team size, preferred dates, approved tools and two tasks you want participants to practise. Request a written scope covering delivery, preparation, assessment, fees and follow-up. Email parikshitkhanna@digitaltrainingjet.com or WhatsApp +91 99972 13177. Alternate phone: +91 80762 50669; alternate email: pkhanna123@gmail.com.
Editorial note: prepared with AI assistance for human review. Fictional exercises support practical learning; training results depend on participation, authorised access and implementation.

