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Generative AI Training in Gurgaon

Jun 8, 2024
8 min read

Updated: Sep 11


Generative AI Training in Gurgaon
Generative AI Training in Gurgaon

Generative AI Training in Gurgaon

Generative AI Training in Gurgaon 2026: Practical ChatGPT, Claude, Gemini & Copilot Workshop

Live Generative AI training for professionals, business owners, marketers, students and corporate teams — led by Parikshit Khanna, Founder of Digital Training Jet.

Artificial Intelligence is rapidly changing how businesses research, communicate, market, analyse information and create digital content. For professionals and organisations in Gurgaon / Gurugram, the opportunity is no longer simply to know about AI—it is to understand how to use it effectively in everyday work.

This practical Generative AI Training in Gurgaon introduces participants to modern AI tools, Prompt Engineering, workplace productivity, research, content creation and responsible AI use through demonstrations and guided exercises.

The programme is designed to make Generative AI understandable for both technical and non-technical participants, with emphasis on real tasks rather than theoretical AI lectures.

Training Details

Information

Trainer

Parikshit Khanna

Organisation

Digital Training Jet

Format

Live instructor-led training

Platform

Zoom

Location

Online

Primary Audience

Gurgaon / Gurugram professionals, companies, students and entrepreneurs

Training Focus

Generative AI, Prompt Engineering, ChatGPT, Claude, Gemini, Microsoft Copilot and practical AI productivity

Website

Custom Corporate Sessions

Available online or onsite subject to programme requirements

Who Is Parikshit Khanna?

Profile

Role

Enterprise AI, Generative AI & Corporate Trainer

Organisation

Founder, Digital Training Jet

Training Approach

Hands-on demonstrations, role-specific prompts and workplace use cases

Core Areas

ChatGPT, Claude, Gemini, Microsoft Copilot, Prompt Engineering and Agentic AI

Business Coverage

Leadership, Sales, Marketing, HR, Finance, Operations, Education and professional productivity

Delivery Style

Practical, interactive and suitable for non-technical audiences

Objective

Help participants move from AI awareness to useful workplace application

Why Generative AI Training Matters in Gurgaon

Gurgaon is home to major corporate offices, startups, consulting firms, technology companies, GCCs, real-estate organisations, marketing agencies and professional-services businesses.

Employees across these organisations increasingly work with large volumes of emails, reports, meetings, spreadsheets, proposals, presentations and customer communication.

Generative AI can help reduce repetitive effort and improve productivity—but only when employees know how to write better prompts, select the right tool, verify output and protect business information.

What You Will Learn

Practical Application

Generative AI Fundamentals

Understand what modern Generative AI can and cannot do

Prompt Engineering

Write structured prompts that produce more useful results

ChatGPT

Research, business writing, analysis, communication and productivity

Claude

Long documents, structured analysis, policies, reports and strategy

Gemini

Research, multimodal tasks and Google-oriented workflows

Microsoft Copilot

Productivity across Word, Excel, PowerPoint, Outlook and Teams

AI Research

Organise information and build research summaries

AI Content Creation

Develop first drafts for blogs, campaigns and business communication

AI for Presentations

Create presentation structures and executive narratives

AI for Data

Interpret structured information and generate analytical questions

Responsible AI

Understand privacy, hallucinations, verification and human review

Agentic AI Introduction

Learn how AI can support controlled multi-step workflows

Recommended Prompt Framework

Role + Task + Context + Approved Source + Constraints + Output Format + Verification

Example Business Prompt

Role: Act as a senior marketing analyst.

Task: Review the authorised campaign report and identify the five most important findings.

Context: The output will be presented during the monthly management review.

Approved Source: Use only the information provided in the report.

Constraints: Do not invent statistics, explanations or customer information.

Output: Present findings in a table with evidence, possible implication and recommended next question.

Verification: Clearly flag any conclusion requiring Marketing or Finance confirmation.

AI for Digital Marketing

Possible Use Cases

Audience Research

Organise customer and market information

Content Planning

Develop campaign and editorial calendars

SEO

Generate content structures and research questions

Social Media

Develop post concepts and first drafts

Advertising

Create copy variations for professional review

Competitor Research

Structure competitive information

Campaign Reporting

Summarise performance information

Customer Personas

Organise validated audience insights

Presentations

Convert campaign plans into management decks

AI for Business Productivity

Possible Use Cases

Email

Draft professional replies and follow-ups

Reports

Create first drafts and summaries

Meetings

Extract key decisions and action points

Proposals

Develop structured proposal frameworks

Presentations

Build slide outlines and narratives

Research

Organise large amounts of information

Documentation

Summarise and restructure documents

SOPs

Create first drafts of operating procedures

Management

Convert information into concise decision briefs

AI for Sales Teams

Practical Applications

Prospect Research

Prepare account briefs

Meeting Preparation

Create discovery questions

Follow-Up

Draft customer communication

Proposals

Build structured first drafts

Objection Handling

Prepare response frameworks

CRM Notes

Organise meeting information

Sales Presentations

Develop customer-facing narratives

Account Planning

Structure customer information

AI for HR & L&D

Practical Applications

Job Descriptions

Create structured first drafts

Interview Questions

Develop competency-based frameworks

Onboarding

Create learning and onboarding checklists

Policies

Summarise approved HR documents

Employee Communication

Draft announcements and FAQs

L&D

Build training resources

Surveys

Summarise recurring themes

Responsible HR AI

Understand privacy and bias risks

AI for Finance & Management

Practical Applications

Excel Assistance

Interpret structured data and formulas

MIS

Create preliminary summaries

Variance Analysis

Identify changes requiring investigation

Management Commentary

Draft initial explanations

Research

Organise approved financial information

Presentations

Convert validated analysis into leadership slides

Meeting Preparation

Prepare management-review questions

Verification

Check every material figure before use

AI for Students & Early-Career Professionals

Practical Applications

Research

Understand and organise learning material

Presentations

Develop clearer academic presentations

Resume Support

Improve structure and wording

Interview Preparation

Practise interview questions

Notes

Summarise approved study material

Career Research

Compare roles and skill requirements

AI Literacy

Understand responsible academic and professional AI use

Productivity

Use AI to plan and organise work

Who Should Attend?

Why It Is Relevant

Business Owners & Entrepreneurs

Learn how AI can support growth and productivity

Marketing Professionals

Improve research, campaigns and content workflows

Sales Professionals

Improve research, meeting preparation and communication

HR Professionals

Use AI for communication, L&D and administrative support

Finance Professionals

Explore AI-assisted reporting and analysis

Managers

Improve reporting, meetings and decision preparation

IT Professionals

Understand modern Generative AI and workflow possibilities

Students

Build practical AI literacy and professional skills

Educators

Explore AI for learning, research and productivity

Consultants & Freelancers

Improve research, proposals and client work

Why Attend This Generative AI Workshop?

Benefit

Practical Learning

See AI applied to realistic professional work

Live Demonstrations

Understand the tools by watching real workflows

Hands-On Exercises

Practise prompts instead of only listening

Multi-Tool Exposure

Compare ChatGPT, Claude, Gemini and Copilot

Business Relevance

Connect AI with daily workplace responsibilities

Responsible AI

Understand privacy, accuracy and verification

Beginner Friendly

No coding required for the standard business workshop

Customisable

Corporate programmes can be aligned to departments and industries

Generative AI vs Traditional AI Course

Generative AI Workshop

Traditional Technical AI Course

Main Goal

Improve workplace productivity

Build technical AI / ML systems

Coding

Usually not required

Often required

Tools

ChatGPT, Claude, Gemini, Copilot

Python, TensorFlow, PyTorch, etc.

Duration

Hours or days

Weeks or months

Audience

Professionals and business teams

Developers / Data Scientists

Workplace Application

Immediate

Depends on role

Prompt Engineering

Core focus

Usually secondary

Business Workflows

Strong focus

Technical focus

What About Machine Learning, TensorFlow & PyTorch?

Traditional Machine Learning topics such as algorithms, predictive models, TensorFlow, Keras, PyTorch and model training are different from a workplace-focused Generative AI workshop.

These technical topics can be added through a separate technical programme when required.

For most business professionals, the more practical starting point is ChatGPT + Claude + Gemini + Microsoft Copilot + Prompt Engineering + Responsible AI + workflow automation.

AI Tools That Can Be Covered

Typical Use

ChatGPT

Research, writing, analysis and productivity

Claude

Long documents and complex analysis

Gemini

Research and multimodal productivity

Microsoft Copilot

Microsoft 365 workflows

Perplexity

Source-assisted research

NotebookLM

Source-grounded document learning

Canva AI

Visual communication

Gamma

AI-assisted presentations

Power BI

Business analytics concepts

n8n

Workflow automation

Make

No-code automation

Zapier

Business app automation

Custom GPTs

Reusable AI assistants

Gemini Gems

Repeatable Gemini workflows

AI Agents

Multi-step task workflows

Responsible AI: What Participants Should Understand

Why It Matters

Privacy

Do not expose sensitive information

Confidentiality

Use only approved systems for company data

Hallucinations

AI can generate plausible but incorrect output

Verification

Important claims should be checked

Bias

AI-generated recommendations can contain bias

Intellectual Property

Protect confidential business material

Human Review

Important decisions require accountable professionals

Company Policy

Follow organisational AI rules

Important AI Principle

AI-generated content should normally be treated as a draft or decision-support input, particularly in sensitive areas such as Healthcare, Finance, Legal, HR and Compliance.

AI should improve professional capability—not eliminate professional accountability.

Suggested Training Formats

Suitable For

60–90 Minute AI Briefing

Leadership and business owners

2-Hour Generative AI Introduction

Beginners and smaller teams

3–4 Hour Practical Workshop

Professionals and functional teams

Half-Day Corporate Workshop

Department groups

Full-Day AI Masterclass

Cross-functional teams

2-Day AI Bootcamp

Advanced GenAI and automation

Leadership AI Strategy Session

CEOs, CXOs and Directors

Agentic AI Workshop

Advanced users and transformation teams

Live Online Session

Distributed learners

Onsite Corporate Training

Gurgaon organisations

Example Full-Day Workshop Agenda

Session

09:30–10:15

Generative AI Fundamentals

10:15–11:15

Prompt Engineering

11:15–12:15

ChatGPT, Claude & Gemini

12:15–1:00

Microsoft Copilot for Workplace Productivity

1:45–2:45

AI for Sales, Marketing, HR and Finance

2:45–3:30

AI for Documents, Data and Presentations

3:30–4:15

AI Automation & Agentic AI

4:15–4:45

Responsible AI & Data Privacy

4:45–5:15

Implementation Roadmap

Gurgaon Areas Where Corporate Training Can Be Delivered

Cyber City

Cyber Hub

Udyog Vihar

Golf Course Road

Golf Course Extension Road

MG Road

Sohna Road

DLF Phase 1–5

Sector 29

Sector 44

Sector 48–50

Sushant Lok

South City

New Gurgaon

Dwarka Expressway

Manesar / IMT Manesar

Other Gurgaon / Gurugram business locations

What Participants Should Leave With

Practical understanding of Generative AI

Better Prompt Engineering skills

Role-specific AI use cases

ChatGPT workflows

Claude workflows

Gemini workflows

Microsoft Copilot examples

Responsible-AI checklist

Verification framework

Workflow-automation ideas

AI-agent concepts

Practical implementation actions

How Should Training Success Be Measured?

Possible Metric

Adoption

Participants using approved workflows after training

Prompt Quality

Improvement in structured prompting

Time Saved

Reduction in repetitive effort

Quality

Better completeness and consistency

Rework

Reduction in corrections required

Confidence

Ability to use AI independently

Workflow Reuse

Number of validated recurring workflows

AI Safety

Compliance with organisational guidelines

Frequently Asked Question

Answer

Who provides Generative AI training in Gurgaon?

Parikshit Khanna and Digital Training Jet provide practical AI workshops for corporate, professional and institutional audiences.

Is the training conducted online?

Yes. Live instructor-led sessions can be conducted through Zoom or another agreed platform.

Is onsite corporate training available in Gurgaon?

Yes, subject to date, location, participant count and commercial agreement.

Does the workshop cover ChatGPT?

Yes.

Does it cover Claude and Gemini?

Yes. Multi-model programmes can include both.

Can Microsoft Copilot be included?

Yes, particularly for Microsoft 365 organisations.

Can AI Automation be included?

Yes. n8n, Make, Zapier and workflow concepts can be introduced.

Can Agentic AI be covered?

Yes, in advanced sessions.

Is coding required?

Not for the standard business workshop.

Can technical Machine Learning be included?

Yes, but it should be scoped as a separate technical module.

Can companies customise the curriculum?

Yes. Industry, department and role-based customisation is available.

Can students attend?

Yes, where the programme is designed for individual learners.

Will participants receive a certificate?

Certificates can be included where specified in the programme scope.

Book Generative AI Training in Gurgaon

Details

Trainer

Parikshit Khanna

Organisation

Digital Training Jet

Programme Areas

Generative AI, ChatGPT, Claude, Gemini, Microsoft Copilot, Prompt Engineering, Agentic AI and Automation

Delivery

Live online, onsite Gurgaon or customised corporate programme

Website

Trainer Website

Email

Phone / WhatsApp

+91 99972 13177

Alternate Phone

+91 80762 50669

What to Share When Requesting a Custom Session

Company / Institution Name

Industry

Participant Count

Gurgaon Location

Preferred Date

Departments

Existing AI Tools

Priority Business Tasks

Online / Onsite Requirement

Desired Duration

Technical / Non-Technical Audience

Expected Learning Outcomes

Final Takeaway

Generative AI is changing how professionals research, communicate, analyse information, create content and complete repetitive work.

The most useful AI programme is not one that simply explains what Artificial Intelligence is.

It should help participants choose the right tools, write better prompts, create practical outputs, recognise AI mistakes, protect sensitive information and develop repeatable workflows.

Parikshit Khanna and Digital Training Jet focus on practical Generative AI enablement through ChatGPT, Claude, Gemini, Microsoft Copilot, Prompt Engineering, responsible AI and Agentic AI, customised according to the audience.

Learn the tools. Apply them to real work. Keep human judgement in control.


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