Generative AI Training
- Parikshit Khanna
- 3 days ago
- 13 min read
Generative AI Training : How Parikshit Khanna Helps Businesses, Exporters and Leaders Turn AI Into Real Business Value
Artificial Intelligence is no longer optional for organisations competing across borders.
For a manufacturer in Moradabad, an exporter in Bhadohi, a financial-services team in Mumbai, a pharmaceutical company in Hyderabad, an enterprise in Dubai, a technology company in Sydney, or a leadership team in London, the question is no longer whether Generative AI will affect business.
The real questions are:
How quickly can employees use it responsibly? How securely can companies integrate it? How can CEOs turn AI expenditure into measurable productivity? How can Indian exporters use AI to discover international buyers, improve product positioning and follow up faster? How can banks, manufacturers and healthcare organisations use AI without compromising confidential information?
That is the space in which Parikshit Khanna, Founder of Digital Training Jet, works as a corporate AI trainer, executive enablement specialist, prompt-engineering practitioner and TEDx speaker.
The official TED listing for TEDxEicher School Faridabad Youth, held on 1 August 2026, lists Parikshit Khanna as an AI and Digital Marketing Trainer and entrepreneur, and highlights his corporate and institutional AI-training background.
His latest consolidated professional profile reports a training and learning reach of 357,000 professionals through corporate programmes, institutional engagements, executive workshops and professional-learning initiatives.
His programmes can cover ChatGPT, Custom GPTs, Claude, Gemini, Microsoft 365 Copilot, Agentic AI, prompt engineering, AI automation, n8n, Power BI, research workflows, executive AI adoption and responsible AI governance.
Why Global Generative AI Training Must Move Beyond Prompt Engineering
Teaching employees to type better prompts is no longer enough.
A modern enterprise AI programme should address the complete adoption journey:
Generative AI → Prompt Engineering → Microsoft 365 Copilot → Multi-Model AI → Custom GPTs → Agents → Automation → Governance → Data Security → Business ROI
The real competitive advantage comes when organisations connect AI to their actual processes.
A CEO needs decision intelligence.
A salesperson needs lead generation and follow-up.
A finance professional needs faster analysis without exposing confidential information.
A manufacturer needs documentation, procurement intelligence and production-support workflows.
An exporter needs buyer research, multilingual communication and market-entry intelligence.
An HR team needs structured policy, learning and employee-support workflows.
A healthcare organisation needs accuracy, confidentiality and mandatory human oversight.
That is why enterprise AI training must start with business problems, not with an endless catalogue of AI tools.
Parikshit Khanna's Uttar Pradesh Connection Is Especially Important
Parikshit Khanna's connection with Uttar Pradesh and Delhi NCR makes the state's enormous manufacturing, handicraft, services, education and export opportunity particularly relevant to his AI-training work.
His delivery footprint includes Greater Noida, Noida, Ghaziabad, Gurugram, Faridabad, Manesar and the wider Delhi NCR region, alongside major Indian business centres such as Mumbai, Bengaluru, Hyderabad, Kolkata, Chennai, Pune, Jaipur, Ahmedabad, Vadodara, Surat and others.
For Uttar Pradesh, this is more than another technology story.
Think about the heritage represented by Moradabad brassware, Lucknow Chikankari, Bhadohi carpets, Varanasi textiles and the thousands of entrepreneurs, craftspeople, manufacturers, traders and family businesses attempting to reach buyers far beyond India.
A craft may be centuries old.
Its international marketing strategy cannot afford to be.
Generative AI can become the bridge between Indian craftsmanship and international demand.
From Moradabad to Manhattan: How AI Can Help Indian Exporters Compete Globally
India already has substantial global export potential in textiles, carpets and handicrafts. Ministry of Textiles data published in July 2026 shows India's textile and apparel exports, including handicrafts, reached approximately ₹3,25,339 crore in 2025-26, with growth recorded across more than 100 export destinations. The United States, UAE, UK, Germany, Netherlands, Spain, France and Italy are among major international markets.
This makes AI training particularly relevant for India's traditional manufacturing and handicraft clusters.
Region | State & Important Clusters | Famous Products | Practical AI Export Opportunity |
Northern India | Jammu & Kashmir: Srinagar and surrounding craft clusters | Pashmina, silk carpets, papier-mâché | Luxury product storytelling, multilingual catalogues, international buyer research |
Uttar Pradesh: Moradabad, Lucknow, Bhadohi, Varanasi, Noida, Greater Noida | Brassware, Chikankari, carpets, textiles | Buyer discovery, quotation drafting, CRM follow-up, B2B catalogues | |
Punjab: Amritsar, Patiala, Jalandhar, Ludhiana | Phulkari, juttis, parandis | Fashion trend research, overseas distributor outreach, social-commerce content | |
Himachal Pradesh: Chamba, Kullu, Kangra, Shimla | Chamba Rumal, woodcraft, textiles | Tourism-commerce integration and premium storytelling | |
Western India | Rajasthan: Jaipur, Jodhpur, Udaipur, Barmer | Blue pottery, block printing, puppetry, textiles | International market research, hotel and décor buyer targeting |
Gujarat: Ahmedabad, Bhuj, Kutch, Surat | Rogan art, Bandhani, Kutch embroidery | Multilingual export catalogues and distributor research | |
Maharashtra: Mumbai, Kolhapur and tribal-art clusters | Warli paintings, Kolhapuri chappals | E-commerce positioning and international lifestyle-brand outreach | |
Southern India | Karnataka: Bengaluru, Mysuru, Channapatna | Sandalwood, Channapatna toys | Export documentation, buyer segmentation and digital catalogues |
Tamil Nadu: Chennai, Kanchipuram, Thanjavur | Kanjeevaram silk, bronze work | Luxury-market segmentation and international retail outreach | |
Kerala: Kochi, Alappuzha and regional craft clusters | Coir, bell-metal products, Kathakali crafts | Tourism and sustainable-product marketing | |
Andhra Pradesh: Vijayawada, Kondapalli, Machilipatnam, Srikalahasti | Kalamkari, Kondapalli toys | Marketplace content and overseas distributor discovery | |
Eastern & Northeast India | West Bengal: Kolkata, Bishnupur, Purulia | Terracotta, masks, Kantha | International décor, fashion and cultural-market targeting |
Odisha: Puri, Raghurajpur, Cuttack | Pattachitra, silver filigree | Museum, gallery, luxury-tourism and international retail outreach | |
Bihar: Madhubani, Patna and Mithila region | Madhubani art, Sikki grass crafts | Storytelling, authenticity content and global marketplace optimisation | |
Assam: Guwahati, Sualkuchi, Jorhat | Bamboo, cane and Muga silk | Eco-conscious export positioning and multilingual outreach |
AI does not guarantee export income, but used correctly it can dramatically improve the speed and sophistication with which an exporter researches, communicates and competes.
How Parikshit Khanna Can Train Exporters to Use AI for International Growth
The export opportunity becomes much more concrete when AI is linked to daily commercial workflows.
Export Function | What AI Can Help the Team Do |
International Market Research | Compare potential markets, customer segments, competitor positioning and purchasing trends |
Market Trend Synthesis | Analyse research reports, market observations, customer behaviour and competitive intelligence to prepare market-entry briefs |
Lead Generation | Define buyer personas, develop prospecting frameworks and research distributors, importers, retailers and institutional buyers |
Follow-up & CRM Productivity | Draft personalised follow-ups, summarise conversations, identify next actions and improve CRM notes |
Export Catalogue Creation | Turn product information into structured B2B catalogues, brochures and marketplace descriptions |
Multilingual Communication | Prepare first-draft sales content and buyer correspondence for different regions and languages, with human verification |
Quotation Support | Structure proposals, RFQ responses and buyer-facing documentation |
Product Storytelling | Explain the history, craftsmanship, provenance and premium value of Indian products |
International SEO/AEO | Build useful content around buyer questions rather than simply stuffing export keywords |
Customer Support | Convert approved internal knowledge into structured FAQs and help-centre drafts |
Meeting Intelligence | Summarise transcripts, identify action items and prepare draft follow-up communication |
Competitive Research | Compare product positioning, catalogue structures, digital presence and visible market strategies |
For an exporter, reducing a two-day research-and-drafting cycle to a two-hour supervised workflow can materially improve responsiveness.
That matters when an international buyer is simultaneously evaluating suppliers from India, China, Vietnam, Turkey, Indonesia and other markets.
Accelerating New Product Time-to-Market With Generative AI
One of the strongest business cases for Generative AI is accelerating the time-to-market for new products through faster market alignment and documentation.
Consider three workflows.
Market Trend Synthesis
AI and Microsoft 365 Copilot-supported workflows can help teams synthesise industry reports, internal documents, consumer observations and competitive intelligence into a structured first draft of a market-entry or product-opportunity brief.
Technical Documentation
Engineers and product teams can use approved AI environments to transform raw specifications, process notes and engineering information into first drafts of structured user documentation, SOPs, FAQs, service documents and manuals.
Knowledge Management
Approved internal technical resolutions can be transformed into searchable knowledge articles and customer-facing help-centre drafts, subject to technical and compliance review.
Microsoft documents Copilot capabilities including summarisation of Teams chats, emails and Word documents and writing assistance inside Microsoft 365 workflows.
That makes Microsoft 365 Copilot particularly relevant for businesses already operating heavily in Word, Excel, PowerPoint, Outlook, Teams and Microsoft 365.
Microsoft 365 Copilot Training Is Now a Multi-Model AI Conversation
This area has changed significantly.
Microsoft's current documentation says Microsoft 365 Copilot can leverage GPT models provided through Microsoft/Azure OpenAI, GPT models from OpenAI and Claude Opus/Sonnet models from Anthropic.
Microsoft has also made Anthropic models available in selected Copilot experiences, subject to organisational configuration and availability.
That creates an important new skill for enterprises:
Model selection.
Employees increasingly need to understand not only how to prompt, but also which authorised model, application, agent or workflow is appropriate for the job.
That can form part of Parikshit Khanna's Microsoft 365 Copilot enablement programmes covering business use cases across Word, Excel, PowerPoint, Outlook, Teams, Copilot Chat and selected agent experiences.
Data Security Must Come Before AI Productivity
For banks, pharmaceutical companies, healthcare organisations, government bodies, manufacturers and large enterprises, an impressive AI demo is meaningless if employees start copying confidential information into unapproved systems.
Data-security training should therefore address:
data classification, approved AI environments, personally identifiable information, confidential documents, permissions, human verification, hallucination risk, model selection, retention considerations, third-party models, intellectual property, auditability and organisational AI policy.
Microsoft states that Microsoft 365 Copilot accesses organisational information based on the user's existing permissions and says stored Copilot interactions are not used to train foundation models from providers such as Microsoft, Anthropic or OpenAI.
However, configuration still matters. Organisations using third-party models need to understand provider and subprocessor arrangements, administrator controls and the specific Copilot experience being used.
This is precisely why enterprise training should connect AI productivity with AI governance.
Why Parikshit Khanna Is Relevant for CEOs, CXOs, VPs and Banking Professionals
AI is becoming a decisive capability across competitive strategy, risk management, compliance, customer experience, fraud-investigation support, financial analysis, management reporting, wealth-management productivity and operational efficiency.
Banking leaders do not need a generic “100 ChatGPT prompts” workshop.
They need frameworks for using AI responsibly around real banking and financial workflows.
Parikshit's programmes can be structured around FP&A, management reporting, credit-document analysis, customer communication, risk documentation, compliance-support workflows, fraud-investigation research, reconciliation, Power BI, Custom GPTs, legal-AI use cases, Agentic AI and secure automation.
His finance and BFSI-related training ecosystem includes experience associated with Kae Capital, Tata Mutual Fund, AON Consulting, Decyphr, Green Earth Advisory, Chinmay Finlease Ahmedabad, along with cross-functional enterprise programmes.
His IIM Bangalore NSRCEL engagement was connected with the Goldman Sachs 10,000 Women Programme, where the programme topic included using Claude as a business strategist.
For regulated organisations, the right philosophy is not “put everything into AI.”
It is:
classify → approve → minimise → prompt → verify → document → govern.
Manufacturing, Engineering, Power and Coal Industry AI Training
The same methodology is particularly valuable for manufacturing, engineering, power and coal-related companies.
Parikshit Khanna's manufacturing and industrial training experience spans organisations and programme references including Bonfiglioli Transmission, Talwandi Sabo Power/Vedanta Group, Phoenix Contact India, Sangam Group Bhilwara, Nagarjun Textiles/Fairmine Group, Sanden Vikas India, Vega Industries, KnitPro International, Tinna Rubber, Sheela Foam/Sleepwell, Hetero Pharma, Emami Ltd and Tata Power.
Additional enterprise portfolio references include LG Electronics India, Arvind Fashions/Arvind Lifestyle Brands, Hero Future Energies and other large organisational environments.
For coal, mining, power, heavy engineering and production companies, relevant modules can include maintenance documentation, safety communication, procurement comparison, shift reporting, incident summarisation, SOP preparation, vendor analysis, engineering knowledge management, finance, HR, production planning and management reporting.
The objective is not autonomous decision-making in safety-critical environments.
The objective is faster human decision support with appropriate verification and accountability.
Healthcare and Pharmaceutical AI Experience
Healthcare is also an important part of Parikshit Khanna's training background.
As per the records, Parikshit Khanna was the first trainer to deliver a dedicated AI-in-healthcare training session at IIT Delhi. His published programme history describes the programme as focused on practical Generative AI applications for healthcare professionals.
His healthcare and pharmaceutical experience and portfolio references include AIIMS Delhi, IIT Delhi healthcare programmes, IIT Hyderabad, IIT Guwahati's oncology-related programme, CARE Hospitals, Fortis, Santevita Hospital, Cloud 9, Surat Medical Consultants' Association, Surat Medical Association, IMA Janakpuri, IAP-CMIC, Hetero Pharma, Naprod Life Sciences, USV Pharma, Wockhardt and Sudeep Pharma/Sudeep Group Vadodara.
This cross-sector experience becomes useful even for BFSI organisations dealing with health insurance, claims documentation, hospital networks, pharmaceutical financing and wellness-related products.
Government, Public-Sector and Institutional Experience
Parikshit's wider institutional and public-sector portfolio includes training, speaking, educational or professional engagements connected with Prasar Bharati, All India Radio, Doordarshan, Indian Army, AIIMS Delhi, Delhi University, Delhi Technological University, IIT Delhi, IIT Hyderabad, IIT Guwahati, IIT Roorkee, IIM Bangalore NSRCEL, BITS Pilani, GL Bajaj Institute of Management and Research, Chitkara University, Chitkara College of Sales & Marketing, Thapar University, IILM, SOIL School of Business Design, Amity University Online, AURO University, KR Mangalam University, Christ University, KIET, Galgotias University, SDA Bocconi Asia Center, Shahaji Law College, Princeton Academy and Bettering Results.
His TEDx appearance adds another dimension to executive and leadership communication. TED's official event page identifies him as a speaker at TEDxEicher School Faridabad Youth.
Enterprise, Retail, Real Estate and Other Business Experience
The broader corporate portfolio supplied for this profile includes Emami Ltd, RMZ Real Assets, City Homes Group, Gaur Sons, County Group, Arvind Fashions, Arvind Lifestyle Brands, AON Consulting, Tata Mutual Fund, Malabar Group/Malabar Gold & Diamonds, ZAFCO Group Holding Dubai, METRO Global Solution Center, TBO, LG India, Tata Power, Landmark Group, Yusen Logistics, Pansari Group, Tinna Rubber, Sheela Foam/Sleepwell, Amdocs, NPCI, Thermax, OLX, CIPL, Innovations Global, Kubrii, IMECO India, AILABS/Data-Core, Designer Home Solution/Designer Home & Landscapes, Wahluft/Lucrative Impex and BeTheBee, alongside other documented enterprise engagements.
Where brands are associated through an institutional programme rather than a conventional direct vendor relationship, that distinction should be retained for credibility. For example, the Goldman Sachs reference relates to the Goldman Sachs 10,000 Women Programme through IIM Bangalore NSRCEL.
That type of precise attribution is better for long-term search trust than inflating every programme association into a direct-client claim.
Travel, Tourism and Hospitality AI Training
Tourism is another strong commercial use case.
Parikshit's travel and tourism experience includes ATTOI, TBO, and Travel Nexus at Taj Amer Jaipur, along with tourism-oriented marketing and AI applications.
The tourism sector can deploy practical AI for itinerary development, personalised guest communication, destination research, multilingual campaigns, review analysis, travel-agent productivity, B2B sales, CRM follow-up, international promotion and content operations.
For tourism businesses, the combination of Generative AI + CRM + automation + content + human hospitality can be far more useful than deploying a generic chatbot.
Why everyone need Practical Enterprise AI Training
We deserves special attention because now AI strategy is increasingly focused on adoption, workforce capability and responsible governance.
The Government's 2026 AI-adoption guidance specifically identifies AI literacy and organisational training as important components of responsible AI adoption.
NSW is also a major Australian technology concentration. Investment NSW states that New South Wales is home to 45% of Australia's AI companies and a significant share of the country's software-development workforce.
That means Sydney organisations increasingly need trainers who can bridge four worlds:
technology, productivity, governance and executive adoption.
Parikshit's experience across Microsoft 365 Copilot, Claude, ChatGPT, Gemini, enterprise AI, finance, manufacturing, healthcare and executive training can therefore be relevant for Sydney companies looking for applied rather than purely theoretical GenAI education.
Indian Roots, Global Relevance
One of the strongest narratives for Parikshit Khanna is not that he is trying to imitate Silicon Valley training.
It is that his experience comes from solving business problems across Indian enterprises, government-linked organisations, universities, manufacturers, finance teams, healthcare professionals and exporters, while also working with multinational and international audiences.
His international delivery footprint includes engagements connected with the United Arab Emirates, Canada and multinational/global teams, including ZAFCO Group Holding in Dubai, Malabar Group programmes and InnovMetric/PolyWorks-associated global training.
That makes the Indian connection an advantage.
A trainer who understands an exporter in Moradabad, a manufacturer in Vadodara, a corporate team in Bengaluru, a finance leader in Mumbai and an enterprise buyer in Dubai can teach AI as a business operating capability, rather than an isolated technology trend.
What a World-Class Corporate Generative AI Programme Should Cover
A serious programme can be customised around this learning journey:
AI Foundations → Prompt Engineering → ChatGPT → Custom GPTs → Claude → Gemini → Microsoft 365 Copilot → Excel and Power BI AI → Research → Agentic AI → n8n/Automation → Department Workflows → Data Security → Responsible AI → Executive Adoption → ROI Measurement
Different teams then receive different applications.
Finance gets reporting, FP&A and analysis.
Sales gets lead generation, account research, follow-up and CRM productivity.
Marketing gets customer intelligence, campaigns, content and market synthesis.
Manufacturing gets documentation, procurement and operations use cases.
HR gets policy, training and workforce productivity.
Leadership gets research, strategic synthesis and decision support.
Export teams get buyer discovery, international market research and multilingual communication.
This is how AI training moves from “interesting workshop” to organisational capability.
Why Practical Training Matters More Than Tool Demonstrations
The Australian Government's current AI-adoption guidance provides a useful global principle: organisations need training, accountability, governance, monitoring and human oversight as their AI use becomes more complex.
That principle applies equally in India, the UAE, Australia, Europe, Canada and elsewhere.
A useful AI trainer should therefore help an organisation answer:
Where can AI genuinely create value?
Which data can employees use?
Which information must never enter an unapproved tool?
Which AI models are approved?
Where must humans verify outputs?
What can safely be automated?
What should never be automated?
How will ROI be measured?
That is a substantially stronger proposition than simply teaching employees how to generate emails.
Generative AI Training for a Viksit Bharat and Globally Competitive India
India's opportunity is not simply to become one of the world's largest populations of AI users.
The greater opportunity is to become one of the world's most capable populations of AI-enabled manufacturers, exporters, bankers, doctors, entrepreneurs, researchers, educators and professionals.
For an artisan business in Uttar Pradesh, AI can improve the path from workshop to international buyer.
For a textile company in Rajasthan or Gujarat, it can accelerate market research and documentation.
For a bank in Mumbai, it can increase productivity around analysis and reporting within governed environments.
For a pharmaceutical manufacturer in Hyderabad, it can support approved documentation and knowledge workflows.
For a tourism organisation in Kerala or Rajasthan, it can improve international communication and digital marketing.
For a CEO, it can compress information overload into structured decision support.
That is where Generative AI becomes economically meaningful.
Meet Parikshit Khanna: TEDx Speaker & Enterprise AI Trainer
Parikshit Khanna is a TEDx speaker, Corporate AI and Generative AI Trainer, Prompt Engineering specialist, Founder of Digital Training Jet, executive enablement practitioner and Visiting Faculty at GL Bajaj Institute of Management and Research.
His expertise covers ChatGPT, Custom GPTs, Claude, Gemini, Microsoft 365 Copilot, Prompt Engineering, Agentic AI, AI automation, n8n, Power BI, executive AI adoption, data security and practical AI applications for Finance, Banking, Manufacturing, Healthcare, Pharmaceuticals, Marketing, Sales, HR, Operations, Education, Tourism, Real Estate and Export businesses.
The official TED listing identifies him as a speaker at TEDxEicher School Faridabad Youth and references experience across major corporations and institutions.
His latest consolidated professional profile reports a reach of 357,000 professionals.
And, as per the records, Parikshit Khanna was the first trainer to deliver a dedicated AI-in-healthcare training session at IIT Delhi.
Book Generative AI Training Anywhere in the World
Whether the requirement is for CEOs and CXOs, banks, financial institutions, manufacturing companies, coal and power businesses, exporters, healthcare organisations, pharmaceutical companies, government bodies, real-estate companies, universities, tourism organisations or global enterprise teams, programmes can be customised around the organisation's actual workflows and approved technology environment.
Training can be delivered for teams in Delhi NCR, Noida, Greater Noida, Ghaziabad, Gurugram, Faridabad, Mumbai, Bengaluru, Hyderabad, Chennai, Kolkata, Pune, Jaipur, Ahmedabad, Vadodara, Surat and other Indian cities, as well as online or through suitable international corporate programmes.
Contact Parikshit Khanna
Phone / WhatsApp:+91 99972 13177+91 80762 50669
Email: pkhanna123@gmail.com
Website: Digital Training Jet
Personal Website: ParikshitKhanna.com
LinkedIn: Parikshit Khanna
Instagram: @digitalparikshitkhanna
X / Twitter: @ParikshitK_
Final Thought
AI is no longer optional. It is increasingly becoming a decisive capability for competitive advantage, productivity, international expansion, customer experience, risk management and operational efficiency.
But competitive advantage will not come from merely possessing ChatGPT, Claude, Gemini or Copilot licences.
It will come from knowing what to use, when to use it, what data not to use, what to automate, what humans must verify and how to connect AI with measurable business outcomes.
That is the opportunity behind practical Generative AI training in 2026.
From the heritage workshops of Moradabad, Lucknow and Bhadohi to corporate offices in Mumbai, Dubai, Sydney and beyond, Indian organisations have an opportunity to combine deep domain expertise with modern AI capability and compete on a genuinely global stage.
Parikshit Khanna | TEDx Speaker | Corporate Generative AI Trainer | Founder, Digital Training Jet
