Generative AI Training in Gurgaon
Updated: Sep 11


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 |
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 | |
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. |

