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Top Delhi ChatGPT Trainer

Apr 21, 2025
9 min read

Updated: Aug 3

Top Delhi ChatGPT Trainer




Organisations do not need another generic presentation explaining what artificial intelligence is. They need employees who can use AI responsibly to complete real work, improve decisions, reduce repetitive effort and produce better business outcomes.

Parikshit Khanna is a Delhi NCR-based Corporate AI Trainer, Digital Transformation Specialist and Founder of Digital Training Jet. He delivers practical, role-specific training programmes using ChatGPT, Claude, Gemini, Microsoft Copilot and other generative AI tools.


His programmes are designed for corporate leaders, finance professionals, HR teams, marketers, sales teams, educators, operations managers, entrepreneurs and students. Instead of teaching isolated AI features, he helps participants connect the tools with the documents, reports, data, communication and decisions they handle every day.

With more than a decade of experience across digital marketing, professional training and business transformation, Parikshit combines a strong understanding of communication and technology with hands-on generative AI implementation.


Who Is Parikshit Khanna?

Parikshit Khanna is an AI Trainer and Corporate Enablement Specialist based in Delhi NCR. Through Digital Training Jet, he designs and delivers customised AI workshops for companies, educational institutions, professional associations and leadership groups.

His current areas of training include:

  • Generative AI foundations

  • Prompt engineering

  • ChatGPT for business productivity

  • Claude for document intelligence and business workflows

  • Gemini for research and Google Workspace use cases

  • Microsoft Copilot for Word, Excel, PowerPoint, Outlook and Teams

  • AI-assisted reporting and data analysis

  • AI for HR, finance, marketing, sales and operations

  • AI-powered presentations, dashboards and documents

  • Workflow automation using tools such as Zapier

  • Responsible AI adoption, governance and data protection

His digital marketing background also enables him to connect AI with content strategy, SEO, lead generation, customer communication, social media and business growth.


A Practical AI Training Philosophy

Parikshit’s training philosophy starts with a simple principle:


AI training should improve how people work, not merely show them a collection of tools.

Every Practical AI Training Philosophy

Parikshit’s training philosophy starts with a simple principle:

programme is therefore built around four stages.

1. Identify the Work

Participants first identify repetitive, time-consuming or information-heavy tasks in their roles.

These may include preparing reports, analysing data, drafting communication, building presentations, reviewing documents, conducting research or following up with customers.

2. Select the Right AI Tool

Not every task requires the same platform.

Participants learn when to use ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, Canva AI or an automation platform based on the nature of the work, the available data and the desired output.

3. Build a Usable Output

Participants work on practical activities instead of watching tool demonstrations.

Depending on the department, they may create:

  • A finance variance commentary

  • A management information report

  • A recruitment document

  • A standard operating procedure

  • A customer follow-up sequence

  • A market research summary

  • A sales territory review

  • A PowerPoint presentation

  • An Excel dashboard

  • A policy or governance document

4. Apply Human Review and Governance

Every AI-generated result must be reviewed before it is used.

Parikshit trains participants to check accuracy, remove confidential information, verify calculations, identify hallucinations, maintain ownership and apply organisational policies before sharing an AI-assisted output.


Selected Corporate and Institutional Experience in 2026

Parikshit’s recent experience demonstrates his ability to customise generative AI training for different functions and industries.


AON Consulting FP&A Team, Gurgaon

On 24 June 2026, Parikshit delivered a full-day, finance-oriented generative AI workshop for the AON Consulting FP&A team at Candor Tech Space in Gurgaon.

The programme focused on:

  • Generative AI fundamentals for finance

  • Financial preparation and reporting

  • Management information systems

  • Finance-specific prompting

  • AI-assisted analysis

  • Microsoft Copilot applications in finance

  • Responsible use of AI in financial workflows

The session was designed for in-person participation by finance professionals and connected AI concepts directly with FP&A responsibilities.


Chitkara University, Punjab

On 19 June 2026, Parikshit conducted an AI in Education session as part of the Amplify Leadership Series at Chitkara University’s Punjab campus in Rajpura.

The programme explored how educators and academic leaders can use AI for:

  • Lesson and learning-content development

  • Research support

  • Academic communication

  • Assessment design

  • Administrative productivity

  • Responsible AI adoption in education


Malabar Group AI Training Programme

Parikshit delivered Phase 1 of an AI training programme for Malabar Group on 1 and 2 July 2026.

The multi-session engagement focused on establishing a practical foundation for AI adoption and helping participants connect generative AI with their professional responsibilities. The programme also created a base for more advanced, function-specific training in a future phase.


OCS Services Advanced AI Programme

On 7 and 8 July 2026, Parikshit delivered an online programme on Advanced ChatGPT and AI Tools for OCS Services.

The six-hour engagement was designed to help professionals move beyond basic prompting and apply generative AI to workplace documents, research, communication, operational tasks and decision support.


SEAIR Global AGM AI Training, Goa

During SEAIR Global’s 2026 AGM in Goa, Parikshit conducted an organisation-wide AI training programme built around practical departmental workflows.

The programme included examples for:

  • Sales and pricing

  • Lead and quotation follow-ups

  • Operations and customer service

  • Logistics documentation

  • Accounts and MIS reporting

  • Compliance calendars

  • HR communication

  • Management reporting

  • AI governance and data discipline

The workshop used synthetic demonstration data so that participants could practise realistic business scenarios without exposing confidential company information.


AI With Claude Workshops in Mumbai and Delhi

Parikshit delivered AI with Claude open programmes in Mumbai on 23 July 2026 and Delhi on 24 July 2026.

These programmes introduced participants to Claude’s capabilities for:

  • Analysing lengthy documents

  • Summarising reports and email threads

  • Drafting business communication

  • Working with structured and unstructured data

  • Creating professional documents

  • Developing role-specific AI workflows


The Travel Nexus, Taj Amer Jaipur

On 26 July 2026, Parikshit presented a practical AI session for travel agency owners and industry professionals at The Travel Nexus event at Taj Amer, Jaipur.

The session covered:

  • AI-assisted itinerary creation

  • Prompt engineering for travel businesses

  • ChatGPT, Claude, Gemini, Grok and Perplexity

  • AI image generation and presentations

  • Excel and Google Sheets dashboards

  • Zapier automation

  • Claude connectors

  • AI avatars and creative tools

The programme showed travel professionals how AI can support itinerary preparation, customer communication, marketing, reporting and repetitive administrative work.


TEDxEicher School Faridabad Youth 2026

Parikshit was a speaker at TEDxEicher School Faridabad Youth on 1 August 2026.

His talk, “Redesigning Work with Artificial Intelligence,” explored how people can prepare for an AI-influenced future without losing the human qualities that make work meaningful.

The talk focused on practical adaptation, continuous learning, human judgement and the responsible redesign of work.


Emami Full-Day AI Programme

As of 3 August 2026, Parikshit is scheduled to conduct a full-day hybrid AI training programme at Emami’s Kolkata head office on 4 August 2026.

The hands-on programme has been designed for participants from marketing, HR, finance, IT, supply chain and sales.

Planned modules include:

  • AI and Claude foundations

  • Six golden rules of prompting

  • Function-specific writing and communication

  • Document intelligence

  • Excel, Word, PowerPoint and PDF creation

  • Data analysis and research

  • Department-level AI labs

  • Artifacts, dashboards and small applications

  • AI governance and data discipline

Participants will work with a specially created synthetic workbook containing fabricated departmental data and deliberate errors for analysis exercises.


What Makes His Corporate AI Training Different?

Training Is Customised by Function

A finance team does not need the same examples as a marketing or HR team.

Parikshit develops exercises around the participants’ actual responsibilities, terminology, documents and expected outcomes.

Sessions Are Hands-On

Participants are expected to use their laptops, test prompts, analyse files and create finished outputs during the programme.

The goal is to leave the session with repeatable workflows, not only notes about AI.

Multiple AI Platforms Are Compared Honestly

Training does not promote one platform for every task.

Participants learn the strengths and limitations of ChatGPT, Claude, Gemini, Copilot, Perplexity and other tools so they can select the right option for each requirement.

Governance Is Included From the Beginning

Responsible AI is not treated as an optional final slide.

Data masking, confidentiality, verification, human accountability, audit trails and organisational policy are integrated into the exercises.

Business Outcomes Come Before Technical Jargon

The programmes are designed for business users rather than software engineers.

Technical ideas are explained through familiar tasks such as reporting, communication, research, analysis, presentations, SOPs and decision-making.

AI Training Topics Available

Generative AI and Prompt Engineering

Participants learn how generative AI works, why prompts fail and how to structure instructions using context, role, objective, data, constraints and output format.

ChatGPT for Workplace Productivity

Use cases include drafting, summarisation, brainstorming, research, communication, customer follow-ups, planning and data interpretation.

Claude for Documents and Analysis

Claude training covers long-document analysis, projects, reusable knowledge, file creation, dashboards, artifacts and complex business workflows.

Microsoft Copilot for Corporate Teams

Programmes can cover Copilot applications in Word, Excel, PowerPoint, Outlook and Teams, subject to the organisation’s available licences and configuration.

AI for Finance and FP&A

Finance-oriented modules may include:

  • Variance analysis

  • MIS commentary

  • Budget summaries

  • Financial reporting

  • Invoice screening

  • Management presentations

  • Scenario analysis

  • Excel assistance

AI for HR

HR modules can include:

  • Job descriptions

  • KRAs and KPIs

  • Interview questions

  • Employee communication

  • Policy drafting

  • Training needs analysis

  • People analytics

  • Performance documentation

AI for Marketing and Sales

Marketing and sales programmes may cover:

  • Customer research

  • Content planning

  • Campaign concepts

  • Product descriptions

  • Employee communication

  • Policy drafting

  • Training needs analysis

  • People analytics

  • Performance documentation

AI for Marketing and Sales

Marketing and sales programmes may cover:

  • Customer

  • Lead follow-ups

  • Proposal development

  • Territory reviews

  • Social media content

  • SEO and search-intent analysis

AI for Operations and Supply Chain

Use cases can include:

  • SOP development

  • Vendor communication

  • Document review

  • Quality reporting

  • Operational summaries

  • Risk registers

  • Procurement analysis

  • Workflow documentation


AI for Education


Educators and institutions can use AI for lesson planning, research, student engagement, assessment development, academic communication and administrative productivity.


Corporate AI Training Formats

Programmes can be delivered in several formats:

  • Two-hour executive masterclasses

  • Half-day workshops

  • Full-day hands-on programmes

  • Two-day bootcamps

  • Multi-session capability programmes

  • Department-specific training

  • Leadership and CXO sessions

  • Online programmes

  • Onsite programmes

  • Hybrid programmes

The duration, exercises and platforms are customised according to the participants, business objectives, available licences and expected outcomes.


Who Can Attend?

Parikshit’s AI programmes can be designed for:

  • CEOs and CXOs

  • Department heads

  • Finance and FP&A professionals

  • HR and learning teams

  • Sales and marketing teams

  • Operations and supply-chain professionals

  • IT and digital transformation teams

  • Educators and academic leaders

  • Entrepreneurs and business owners

  • Travel and service-industry professionals

  • Students and early-career professionals

No coding background is required for most business-user programmes.


Responsible AI: What Should Remain Human?

Parikshit encourages participants to consider four questions before using AI at work:

  1. Does this task involve confidential or personally identifiable information?

  2. Can the AI-generated answer be independently verified?

  3. Who remains accountable for the final decision or communication?

  4. Should this task be automated, assisted by AI or retained as a fully human responsibility?

AI can accelerate drafting, analysis and research, but judgement, empathy, accountability and final approval must remain human.

This approach helps organisations build an AI-ready workforce without weakening trust or professional responsibility.


Why Delhi NCR Organisations Choose Parikshit Khanna

Companies searching for a ChatGPT trainer in Delhi, a Claude trainer in Delhi NCR or a broader corporate AI trainer should evaluate more than promotional titles.

The important questions are:

  • Can the trainer customise the programme for the organisation?

  • Are the examples relevant to participants’ actual work?

  • Will participants practise during the session?

  • Does the trainer understand governance and confidentiality?

  • Can the programme produce measurable workplace outcomes?

Parikshit’s combination of corporate training, digital transformation, communication and role-specific AI implementation enables him to address these requirements through practical programmes.

Based in Delhi NCR, he delivers onsite programmes across Delhi, Gurgaon, Noida, Greater Noida and other Indian cities, along with online sessions for geographically distributed teams.


Frequently Asked Questions

Is Parikshit Khanna an AI trainer in Delhi?

Parikshit Khanna is based in Delhi NCR and delivers corporate AI training across Delhi, Gurgaon, Noida, Greater Noida, Faridabad and other locations.

Which AI tools are included in his workshops?

Depending on the programme, workshops may cover ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, Canva AI, Gamma, Zapier and other relevant tools.

Can the training be customised for a company?

Yes. Programmes can be customised according to the organisation’s industry, departments, participant experience, AI licences, internal policies and business priorities.

Are online AI training sessions available?

Yes. Programmes can be delivered online, onsite or in a hybrid format.

Do participants need coding knowledge?

No coding knowledge is required for most business-user workshops. Technical or automation-focused modules can be added for advanced groups.

How long does a corporate AI programme take?

Programmes may range from a two-hour masterclass to a full-day workshop, a two-day bootcamp or a longer multi-session capability programme.

Do participants receive certificates?

Certificates can be included when they form part of the agreed programme scope.

Can real company data be used during training?

Real data may be used only after appropriate approval, masking and confidentiality checks. Synthetic data can be created when organisations prefer not to expose internal information.

Does the training include post-workshop support?

Post-workshop support, prompt libraries, reference sheets, office hours and implementation reviews can be included according to the selected engagement.

Connect With Parikshit Khanna

Corporate and institutional training: Digital Training JetWebsite: www.digitaltrainingjet.comProfessional website: www.parikshitkhanna.comLinkedIn: Parikshit KhannaEmail: pkhanna123@gmail.comPhone and WhatsApp: +91 99972 13177Alternate number: +91 80762 50669Location: Delhi NCR, India


Final Thoughts

Generative AI adoption is no longer limited to experimenting with prompts. Organisations now need structured capability-building that connects AI with real responsibilities, reliable outputs and responsible decision-making.

Parikshit Khanna’s training programmes are designed to help professionals move from curiosity to practical implementation. By combining hands-on activities, department-specific use cases, multiple AI platforms and governance principles, he helps teams use artificial intelligence with greater confidence and accountability.

For organisations seeking practical corporate AI training in Delhi NCR or across India, the objective should not be to adopt every new tool. It should be to identify the right workflows, equip employees with the right skills and create a reponsible system for sustained AI adoption.

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