Parikshit Khanna: Corporate AI Trainer Profile and Programme Fit
Updated: 5 days ago
Reviewed and substantively updated on 16 October 2026.
Parikshit Khanna is the founder of Digital Training Jet and a corporate AI trainer based in Delhi NCR. This profile explains the work a buyer can commission, the evidence available and the questions to settle before a programme begins. It is a provider-authored profile, not an independent ranking of trainers.
Who the programmes are for
The starting point is your team’s recurring work. Leadership teams may need a short briefing on which AI opportunities deserve a pilot. HR, finance, sales, marketing and operations teams usually need practical exercises using documents and datasets that resemble their work. Technical teams need a separately agreed level of coding, integration and evaluation. A mixed audience should not be promised one curriculum that serves every role equally well.
What a practical engagement can include
Discovery: identify two or three recurring tasks, participant skill levels, existing software licences and the information the organisation permits in AI tools. Agree on the outputs participants should create and the people responsible for reviewing them.
Workshop: work through a structured brief, compare a first AI response with a checked revision, and build a reusable template. Examples include an evidence-linked research brief, a draft SOP, a management commentary or a follow-up workflow that requires approval before sending.
Follow-through: agree in the proposal whether the engagement includes a prompt sheet, editable practice files, office hours, an assignment or a later review. These are scoped deliverables; their inclusion and support period should be confirmed in writing.
Training statistics and public proof
As of this review on 18 October 2026, Parikshit reports cumulative reach of 3,50,000+ professionals across direct sessions and the Digital Training Jet network. This self-reported total is not an independently audited count of unique professionals directly trained. Earlier published figures should be interpreted in their original date and scope rather than compared as if they measured the same population.
A CHRIST University Delhi NCR campus report documents a January 2025 course on prompt engineering for generative AI. It provides independent institutional evidence of a training engagement. It does not establish corporate revenue, productivity improvement or a vendor accreditation.
For procurement, request a reference relevant to your industry and a permission-backed case study. Any named client results should identify the baseline, measurement period, sample and reviewer. A workshop attendance record or positive feedback is a different measure from business impact.
Formats and commercial scope
A two-hour leadership briefing can help select use cases. A three-hour practical session can focus on one workflow. A six-hour workshop can combine several related labs, breaks and a review. A multi-session programme allows practice between meetings. These are proposed formats, and the final agenda should fit your cohort.
Request a written quotation covering preparation, delivery, participant capacity, software access, travel when applicable, taxes, resource use, recording permissions and follow-up. Published estimates are not a binding client quotation. Digital Training Jet’s programme is independent; the use of Claude, Microsoft Copilot or other products does not imply vendor endorsement.
How to enquire
Share the audience, city or online preference, participant count, approved tools, two recurring tasks and preferred dates. You can then assess a concrete agenda and deliverables against the same criteria used for other providers.
