Gen AI Trainer in Madhya Pradesh

Gen AI Trainer in Madhya Pradesh: How CEOs, HR, Sales, Marketing, Finance, Manufacturing and Coal Teams Can Win in 2026

Gen AI Trainer in Madhya Pradesh

Madhya Pradesh Is Ready for Its Next Productivity Revolution

Madhya Pradesh is not merely located at the geographical heart of India. It represents the emotional and economic heart of a rapidly changing country.

This is a state where the calm lakes of Bhopal meet the entrepreneurial energy of Indore, where the spiritual power of Mahakaleshwar in Ujjain coexists with industrial ambition in Pithampur, Mandideep, Dewas and Singrauli. It is home to globally recognised destinations such as Sanchi, Bhimbetka and Khajuraho, alongside the forests of Kanha, Bandhavgarh and Satpura, the heritage of Gwalior and Orchha, and the cultural richness of Maheshwar and Chanderi. Madhya Pradesh Tourism identifies Sanchi, Bhimbetka and Khajuraho as the state’s three UNESCO World Heritage Sites.

The state’s next growth phase will not be powered by infrastructure alone. It will depend on how quickly its leaders and employees learn to use artificial intelligence responsibly, securely and productively.

AI is no longer optional. It is becoming the decisive edge for competitive advantage, risk management, compliance, customer experience, fraud detection, product development and operational efficiency.

For organisations seeking a practical Gen AI trainer in Madhya Pradesh, Parikshit Khanna brings cross-functional corporate training experience spanning Microsoft 365 Copilot, ChatGPT, Claude, Gemini, Custom GPTs, prompt engineering, agentic AI, automation, Power BI, Canva AI and secure enterprise workflows.

Parikshit Khanna is the Founder of Digital Training Jet, a corporate enablement specialist and a TEDx speaker. His TEDxEicher School Faridabad Youth profile identifies him as an AI trainer and entrepreneur with experience across major corporations and premier institutions.

The latest professional profile supplied for this article reports a reach of 357,000 professionals through training programmes, workshops, conferences, institutional sessions and learning initiatives.

Explore his work through:

• Digital Training Jet

• Parikshit Khanna’s official website

Why Madhya Pradesh Businesses Need Practical AI Training in 2026

Madhya Pradesh has a diverse economic base covering automobiles, engineering, pharmaceuticals, textiles, power, mining, agriculture, logistics, education, healthcare, tourism, real estate, financial services and government administration.

The Indore and Pithampur belt supports automotive, pharmaceutical, engineering and logistics activities. Bhopal and Mandideep have major administrative, industrial and educational ecosystems. Dewas, Ujjain, Ratlam, Neemuch, Mandsaur, Burhanpur and Chhindwara support manufacturing, agriculture, textiles and trade. Jabalpur, Gwalior, Satna, Rewa and Katni are important commercial and industrial centres.

Singrauli has particular strategic importance for coal mining, thermal power generation, heavy industry and energy infrastructure. Northern Coalfields Limited is headquartered in Singrauli, Madhya Pradesh, according to Ministry of Coal documentation.

These organisations do not need generic demonstrations of AI chatbots. They need governed workflows connected to actual departmental responsibilities.

A useful corporate AI programme must answer questions such as:

• How can a CEO use AI without exposing confidential strategy?

• How can HR improve recruitment, onboarding and policy communication?

• How can sales teams increase lead conversion and follow-up discipline?

• How can finance teams analyse variances without allowing AI to invent numbers?

• How can manufacturing teams improve SOPs, maintenance documentation and shift handovers?

• How can coal and power companies summarise operational reports while protecting sensitive plant data?

• How can companies use Microsoft 365 Copilot safely across Word, Excel, PowerPoint, Outlook and Teams?

• How can employees verify AI-generated output before it reaches a customer, regulator or senior executive?

These are the problems Parikshit Khanna’s role-based programmes are designed to address.

How CEOs and CXOs Can Win with Generative AI

AI adoption must begin with leadership clarity, not random tool subscriptions.

CEOs, managing directors, CXOs, business heads and vice presidents can use controlled AI workflows for:

Executive Intelligence

AI can convert lengthy internal reports, meeting notes, research papers and business updates into structured executive summaries.

Leadership teams can ask AI to identify:

• Emerging risks

• Decisions that require management attention

• Delayed projects

• Revenue opportunities

• Repeated operational bottlenecks

• Contradictions between departmental reports

• Questions that should be raised during business reviews

Board and Management Presentations

Microsoft 365 Copilot, ChatGPT, Claude and presentation tools can assist with:

• Converting reports into board-presentation structures

• Drafting management-review narratives

• Creating speaker notes

• Simplifying technical information for non-technical directors

• Developing scenario-based recommendations

• Converting meeting transcripts into action trackers

AI output must still be reviewed by accountable executives before it is used for decisions.

Market Trend Synthesis

Copilot and other enterprise AI tools can help teams analyse permitted industry reports, customer-behaviour data and competitive intelligence to draft comprehensive market-entry briefs.

A structured market-entry workflow may include:

1. Market size and customer-segment analysis

2. Competitor positioning

3. Pricing signals

4. Regulatory considerations

5. Distribution and partnership opportunities

6. Operational requirements

7. Risks, assumptions and unanswered questions

This helps management move from unstructured information to a decision-ready framework.

Faster Product Development

Accelerating the time-to-market for new products requires rapid market alignment and accurate technical documentation.

AI can assist product and innovation teams with:

• Voice-of-customer synthesis

• Feature prioritisation

• Product requirement documents

• Market-entry briefs

• Pilot-testing questionnaires

• Launch checklists

• Internal training materials

• Customer-facing product explanations

AI should support product specialists, engineers and compliance teams, not replace their professional judgement.

AI for HR Teams in Madhya Pradesh

HR leaders are under pressure to recruit faster, improve employee experience, build future-ready skills and communicate policies clearly.

Parikshit Khanna’s HR-focused Gen AI training can cover:

• Job-description drafting

• KRA and KPI development

• Competency frameworks

• Interview-question banks

• Interview-note summarisation

• Candidate-comparison templates

• Employee onboarding plans

• Learning-needs analysis

• Training calendars

• Policy simplification

• Employee communication

• Engagement-survey analysis

• Performance-review preparation

• Succession-planning frameworks

AI can also convert meeting transcripts into structured action items, identify owners, suggest deadlines and draft follow-up communications.

However, HR teams must be taught not to upload confidential employee records, medical information, compensation data or identifiable candidate information into unapproved consumer tools.

The training therefore combines productivity with:

• Data classification

• Privacy safeguards

• Bias awareness

• Human review

• Approved-tool selection

• Documentation of significant employment decisions

Lead Generation, Follow-Up and CRM Productivity for Sales Teams

Many sales organisations do not suffer from a lack of leads. They suffer from inconsistent qualification, poor follow-up and incomplete CRM updates.

A practical Gen AI sales programme can help teams build a disciplined workflow from first enquiry to final conversion.

Lead Research and Qualification

AI can help salespeople prepare account briefs using approved public and internal information, including:

• Company background

• Industry

• Relevant business challenges

• Possible decision-makers

• Existing solutions

• Potential objections

• Recommended discovery questions

Personalised Follow-Up

Sales teams can generate:

• First-response emails

• WhatsApp follow-up messages

• Meeting-confirmation notes

• Proposal summaries

• Reminder sequences

• Re-engagement messages

• Post-demonstration communication

• Relationship-nurturing content

The objective is not to send robotic mass messages. It is to help salespeople communicate with greater relevance, consistency and speed.

CRM Productivity

After a meeting, AI can:

• Summarise the conversation

• Extract requirements

• Identify objections

• Record the next action

• Suggest the opportunity stage

• Draft CRM notes

• Assign owners

• Create a follow-up email

• Highlight information still required from the prospect

This improves visibility for sales managers and reduces opportunities being lost because the CRM was not updated.

AI for Marketing Teams

Marketing teams in Bhopal, Indore, Jabalpur, Gwalior, Ujjain and other Madhya Pradesh business centres can use Gen AI for research, planning and production.

Practical use cases include:

• Customer-persona development

• Campaign-brief creation

• Social-media planning

• Content repurposing

• Regional-language adaptation

• Competitor analysis

• SEO content briefs

• Video scripts

• Product-launch campaigns

• Email marketing

• Event promotion

• Sales collateral

• Brand-guideline checking

• Customer FAQ development

AI can also transform internal technical resolutions and product FAQs into polished, public-facing help-centre articles.

Marketing teams must still validate every factual claim, price, feature, guarantee and legal statement before publishing.

Google’s current guidance does not prohibit the responsible use of generative AI. It warns against producing large volumes of low-value content primarily to manipulate rankings. Google recommends using AI to support original, useful and well-structured content rather than creating repetitive location pages with little additional value.

AI for Finance, Banking and BFSI Teams

Parikshit’s background includes programmes for banking, financial services, investment, FP&A, wealth-management and enterprise audiences.

Finance teams can be trained to use AI for:

• Budget commentary

• Variance-analysis frameworks

• Management-information summaries

• Expense categorisation

• Cash-flow narratives

• Accounts-payable communication

• Audit-preparation checklists

• Working-capital reviews

• Board-pack drafting

• Financial-policy simplification

• Reconciliation workflows

• Scenario-planning templates

Banking and BFSI professionals can explore controlled applications for:

• Credit-memo preparation

• KYC-document checklists

• Fraud-alert triage

• Customer-query classification

• Regulatory-report drafting

• Portfolio commentary

• Wealth-management communication

• Underwriting support

• Compliance research

• Contract analysis

• Customer-service knowledge bases

AI-generated financial analysis must be grounded in verified data. It should never be treated as an autonomous approval mechanism for credit, investment, insurance, employment or compliance decisions.

Power BI, Automation and Agentic AI

Parikshit’s programmes can combine generative AI with Power BI, Custom GPTs and automation platforms such as n8n.

Possible applications include:

• Automated reporting reminders

• Data-validation workflows

• CRM-to-email follow-ups

• Approval routing

• Document classification

• Customer-query escalation

• Meeting-to-task workflows

• Dashboard commentary

• Recurring management reports

• Controlled knowledge assistants

• Department-specific AI agents

Agentic AI should be introduced gradually, with defined permissions, logs, approval stages and human oversight.

An automation should not be allowed to send sensitive information, approve payments, alter critical records or communicate externally without appropriate controls.

AI for Manufacturing, Engineering and Production Teams

Parikshit’s manufacturing experience is particularly relevant to Pithampur, Mandideep, Dewas, Indore, Bhopal, Jabalpur, Gwalior, Satna, Katni, Singrauli and other industrial locations.

Manufacturing use cases can include:

Technical Documentation

AI helps engineers and product designers convert permitted raw technical specifications, code structures, architectural notes or process observations into structured documentation.

Outputs may include:

• User manuals

• Installation instructions

• Troubleshooting guides

• Standard operating procedures

• Inspection checklists

• Training documents

• Maintenance summaries

• Product FAQs

• Internal knowledge articles

All technical documents must be validated by qualified engineers before release.

Operations and Maintenance

AI can assist teams with:

• Shift-handover summaries

• Preventive-maintenance checklists

• Root-cause-analysis structures

• Breakdown-report formatting

• Spare-parts descriptions

• Vendor-comparison matrices

• Safety-meeting summaries

• Incident-report drafting

• Quality-deviation documentation

• Corrective and preventive action tracking

Product and Quality Teams

Gen AI can help prepare:

• Design-review questions

• Failure-mode discussion guides

• Quality-audit checklists

• Supplier-assessment forms

• Customer-complaint summaries

• Product-improvement briefs

• Pilot-testing documentation

The value comes from reducing documentation delays while retaining expert control.

Why Coal, Mining and Power Companies in Madhya Pradesh Need AI Training

Coal and power companies operate in environments where safety, production, environmental compliance, equipment reliability and documentation are inseparable.

A corporate AI workshop for Singrauli, Sidhi, Shahdol, Anuppur, Umaria, Betul, Chhindwara and surrounding industrial areas can address:

• Daily production-report summarisation

• Shift and site handovers

• Equipment-maintenance documentation

• Safety-observation categorisation

• Incident-report drafting

• Contractor onboarding

• Environmental-compliance checklists

• Tender and bid summaries

• Procurement comparisons

• Training-document development

• Technical FAQ creation

• Management-review presentations

• Community and stakeholder communication

AI can also help convert lengthy meetings into action-oriented records. It can extract action items, identify responsible owners, suggest timelines and prepare draft follow-up communications.

The training should never encourage employees to upload geological data, plant-security information, employee records, contracts, production information or commercially sensitive documents into unapproved platforms.

Microsoft 365 Copilot, ChatGPT and Claude Training

Microsoft 365 Copilot can support productivity across Word, Excel, PowerPoint, Outlook, Teams and other Microsoft 365 environments. Microsoft describes Copilot as an AI productivity tool that works with content users are authorised to access.

Parikshit can train teams to use Copilot for:

• Email-thread summarisation

• Meeting preparation

• Meeting follow-up

• Document drafting

• Spreadsheet interpretation

• Presentation development

• Research organisation

• Policy simplification

• Internal communication

• Knowledge retrieval

Are ChatGPT and Claude Included in Copilot?

This point must be explained accurately.

Microsoft 365 Copilot uses OpenAI-powered GPT models in supported Copilot experiences. Microsoft documentation also confirms that Anthropic models can be made available in certain Copilot environments, subject to region, tenant configuration, licensing, administrator controls and applicable terms.

However:

• Copilot is not identical to a standalone ChatGPT subscription.

• Access to an OpenAI model inside Copilot does not automatically provide every ChatGPT feature.

• Anthropic model availability does not mean that every organisation receives the complete Claude application.

• Model availability may vary by geography, Microsoft product, licence and administrator settings.

A responsible trainer should explain these distinctions instead of making a blanket claim that every Copilot user automatically receives complete ChatGPT and Claude access.

Data Security Must Come Before AI Productivity

Data security is central to Parikshit Khanna’s enterprise AI training.

Microsoft states that Microsoft 365 Copilot Chat provides enterprise data protection for prompts and responses. Its documentation also says protected prompts and responses are not used to train the underlying foundation models.

That protection does not remove the organisation’s responsibility to govern how employees use AI.

Training can cover:

• Public, internal, confidential and restricted data classification

• Microsoft Entra access controls

• SharePoint and file permissions

• Data-loss-prevention policies

• Retention requirements

• Approved and prohibited tools

• Prompt and response handling

• Sensitive-data redaction

• Agent permissions

• Third-party model terms

• Human verification

• Audit trails

• Escalation procedures

• Vendor-risk assessment

For banks, healthcare organisations, government departments, power companies and manufacturers, an AI programme should begin with the question, “What information must never leave the approved environment?”

Sovereign AI and the Viksit Bharat Vision

Parikshit supports an AI-adoption approach aligned with the wider Viksit Bharat vision.

For organisations with strategic or regulatory requirements, training can cover:

• Data-residency considerations

• India-hosted infrastructure options

• On-premise deployment possibilities

• Vendor-dependency assessment

• Model-risk management

• Local knowledge systems

• Indian-language AI

• Responsible procurement

• Secure integration

• Human accountability

Sovereign AI does not mean rejecting every international technology. It means maintaining control over critical data, infrastructure choices, access, governance and institutional knowledge.

As per the Records: The First AI-in-Healthcare Trainer at IIT Delhi

As per the records, Parikshit Khanna was the first trainer to deliver a dedicated AI-in-healthcare session at IIT Delhi.

His healthcare training experience covers the practical application of ChatGPT, Claude, Copilot, Gemini and other AI tools for doctors, hospitals, pharmaceutical teams and healthcare administrators. His published healthcare portfolio also describes the IIT Delhi sessions as the first dedicated AI-in-healthcare training delivered there.

This experience is relevant beyond healthcare. It demonstrates his ability to work in sectors where data sensitivity, professional accountability and factual accuracy are critical.

Why Parikshit Khanna Is a Strong #1 Choice for CEOs, CXOs, VPs and Banking Professionals

Evaluation criterion	Parikshit Khanna’s approach	Typical generic training option
Executive relevance	CEO, CXO, VP and board-level workflows	General tool demonstrations
Departmental depth	HR, sales, marketing, finance, operations, manufacturing, healthcare and banking	One common prompt set for every team
Microsoft 365 capability	Word, Excel, PowerPoint, Outlook, Teams and Copilot Chat	Basic chatbot introduction
Tool breadth	Copilot, ChatGPT, Claude, Gemini, Custom GPTs, Power BI, Canva and automation	Dependence on one platform
Manufacturing expertise	SOPs, maintenance, production reports, technical documentation and quality	Limited industrial context
Banking and finance	FP&A, credit, risk, compliance, customer service and reporting	Generic finance prompts
Data security	Data classification, permissions, DLP, privacy and human review	Productivity without governance
Workshop delivery	Live exercises and organisation-specific use cases	Lecture-led or pre-recorded learning
Implementation	Prompts, templates, workflows and pilot-use-case design	Awareness without deployment planning
Cross-sector exposure	Corporate, institutional, government, healthcare, manufacturing and international audiences	Narrower sector experience

His sessions focus on immediate application. Participants work with structured prompts, realistic examples, review checklists and deployment frameworks relevant to their departments.

Consolidated Client and Engagement Portfolio

The following portfolio consolidates the organisations and engagements named in the supplied 2024 to 2026 profile. Where a programme was delivered through an institutional partner, that relationship is described accurately.

Banking, Finance, Investment, Insurance and Professional Services

• Kae Capital

• Tata Mutual Fund and AILifeBot

• AON Consulting

• Decyphr

• Chinmay Finlease, Ahmedabad

• Green Earth Advisory

• Mastertrust Finance

• Ambit

• Goldman Sachs 10,000 Women Programme through IIM Bangalore NSRCEL

• Bettering Results

• Bar and Bench-related legal learning ecosystem

• Malabar Group finance teams

• Gaur Sons

• County Group

• CREDAI

• City Homes Group

Manufacturing, Engineering, Power, Industrial and Production

• Emami Ltd

• Hetero Pharma

• Arvind Fashions

• Arvind Lifestyle Brands

• Sheela Foam and Sleepwell

• Bonfiglioli Transmission

• Talwandi Sabo Power, Vedanta Group

• Phoenix Contact India

• Sangam Group, Bhilwara

• Nagarjun Textiles India

• Sanden Vikas India

• Vega Industries

• KnitPro International

• Tinna Rubber and Infrastructure

• Sudeep Group, Vadodara

• Sudeep Pharma Limited

• Pansari Group

• LG India

• Tata Power

• Wahluft and Lucrative Impex

• Designer Home Solution and Designer Home & Landscapes

• IMECO India

• OCS Services

• METRO Global Solution Center

His published industrial portfolio highlights practical work across manufacturing, automotive, engineering, finance, healthcare and enterprise teams.

Technology, Enterprise, Logistics, Retail and Real Estate

• RMZ Real Assets

• Amdocs

• DDS Athena

• Homeland Group

• ZAFCO Group Holding, Dubai

• InnovMetric and PolyWorks, Canada and India

• Landmark Group

• Yusen Logistics

• Innovations Global

• Kubrii

• CIPL

• BeTheBee

• AILABS and Data-Core

• Team Computers

• RMSI

• Visa

• Mall of Ranchi

• Gaur Sons

• County Group

• City Homes Group

• RMZ Real Assets Corporation

Healthcare, Hospitals, Doctors and Pharmaceuticals

• AIIMS Delhi

• CARE Hospitals, Hyderabad

• Fortis

• Santevita Hospital

• Cloudnine

• Surat Medical Consultants’ Association

• Surat Medical Association

• IMA Janakpuri

• IAP-CMIC, Indian Academy of Pediatrics

• Indian Society of Medical and Paediatric Oncology

• Hetero Pharma

• Naprod Life Sciences

• USV Pharma

• Wockhardt

• Sudeep Pharma Limited

• Independent medical and doctors’ groups

• IIT Delhi healthcare programmes

• IIT Hyderabad healthcare programmes

• IIT Guwahati molecular-oncology programme

Colleges, Universities and Institutions

• IIT Delhi

• IIT Hyderabad

• IIT Guwahati

• IIM Bangalore NSRCEL

• BITS Pilani

• Chitkara College of Sales and Marketing, Delhi

• Chitkara College of Sales and Marketing, Zirakpur

• Chitkara University, Rajpura

• GL Bajaj Institute of Management and Research

• IILM College, including the Jaipur engagement cited in the supplied portfolio

• IILM, Lodhi Road, New Delhi

• SOIL School of Business Design

• Thapar University

• Amity University

• Amity University Online

• AURO University, Surat

• KR Mangalam University

• SDA Bocconi Asia Center

• Delhi Technological University

• Delhi University

• Christ University, Bengaluru

• Shahaji Law College, Kolhapur

• KIET Group of Institutions

• Galgotias University

• Princeton Academy

• Bettering Results

• Masters’ Union

• Indian Society of Medical and Paediatric Oncology

• Eicher School Faridabad, TEDxYouth

Government, Public Sector, Media and Broadcasting

• Indian Army

• Prasar Bharati

• National Academy of Broadcasting and Multimedia

• All India Radio

• Doordarshan

• AIIMS Delhi

• Delhi University

• Economic Times HRWorld

• Times Internet

• Pluto Media House

• The Shaleen Show

• CII New Delhi

• JITO Chennai

• JITO Raipur

• ABID YUVA

Tourism, Travel and Hospitality

• ATTOI Annual Convention, Wayanad

• TBO, Aerocity

• Travel Nexus at Taj Amer, Jaipur

• SEAIR Global AGM, Goa

• Malabar Gold & Diamonds, Dubai-linked programme

• Tourism, travel and hospitality leadership audiences across India and international markets

Recent International and Global Associations

• Malabar Gold & Diamonds, Dubai branch

• ZAFCO Group Holding, Jebel Ali Free Zone, Dubai

• InnovMetric and PolyWorks, Quebec, Canada

• AON global teams

• METRO Global Solution Center

• Goldman Sachs 10,000 Women Programme through IIM Bangalore NSRCEL

• International online programmes and cross-border executive audiences

The Goldman Sachs engagement should be presented through the specific NSRCEL 10,000 Women Programme association rather than as an unrelated direct enterprise mandate. Parikshit’s published portfolio uses the same distinction.

Frequent International Sessions and Global Relevance

Parikshit’s delivery experience is not limited to one city or state.

His portfolio includes programmes connected with India, the United Arab Emirates, Canada and multinational organisations. These assignments provide exposure to:

• Multicultural business communication

• Global leadership expectations

• Distributed teams

• Cross-border data concerns

• Regional market adaptation

• International customer experience

• Remote and hybrid training delivery

• Global finance, manufacturing and technology workflows

This makes his framework useful for Madhya Pradesh companies that export, work with international customers, manage global vendors or operate overseas branches.

Madhya Pradesh Cities and Business Clusters Covered

Corporate programmes can be delivered onsite, online or in hybrid formats across Madhya Pradesh.

Priority business and institutional locations include:

Bhopal, Indore, Jabalpur, Gwalior, Ujjain, Sagar, Satna, Rewa, Dewas, Pithampur, Mandideep, Singrauli, Katni, Ratlam, Neemuch, Mandsaur, Chhindwara, Narmadapuram, Itarsi, Vidisha, Sehore, Raisen, Dhar, Khargone, Khandwa, Burhanpur, Morena, Shivpuri, Guna, Ashoknagar, Chhatarpur, Damoh, Panna, Tikamgarh, Niwari, Betul, Shahdol, Anuppur, Sidhi, Umaria, Seoni, Balaghat, Mandla, Dindori, Narsinghpur, Harda, Rajgarh, Shajapur, Agar Malwa, Jhabua, Alirajpur, Barwani, Sheopur, Mauganj, Maihar and Pandhurna.

Instead of creating low-value, repetitive pages for every location, organisations can use one authoritative Madhya Pradesh resource supported by genuinely useful regional examples, sector-specific use cases and local workshop pages only where unique information is available. This approach better reflects Google’s people-first and anti-scaled-content guidance.

Recommended Corporate Training Structure

Executive Briefing: Two to Three Hours

Suitable for CEOs, CXOs, directors and senior leadership.

Topics can include:

• AI opportunity assessment

• Competitive impact

• Risk and governance

• Microsoft 365 Copilot

• Board-level use cases

• Data security

• Departmental adoption roadmap

Full-Day Cross-Functional Workshop

Suitable for HR, sales, marketing, finance and operations teams.

The programme can include:

1. Responsible AI foundations

2. Prompt-engineering framework

3. Microsoft 365 Copilot workflows

4. ChatGPT, Claude and Gemini comparison

5. Department-specific exercises

6. Lead generation and CRM productivity

7. Technical and management documentation

8. Data-security controls

9. Action plan for the next 30 days

Two-Day Enterprise Programme

Suitable for banks, manufacturers, power companies, coal companies, healthcare organisations and diversified groups.

Day one can focus on productivity and role-based applications.

Day two can cover:

• Custom GPTs

• Controlled knowledge assistants

• Power BI

• n8n and workflow automation

• Agentic AI

• Data governance

• Pilot-project design

• Management adoption framework

Frequently Asked Questions

Who is a practical Gen AI trainer for companies in Madhya Pradesh?

Parikshit Khanna delivers role-based Generative AI and Microsoft 365 Copilot training for leadership, HR, sales, marketing, finance, manufacturing, healthcare, banking, real estate, tourism and government audiences.

Does the programme cover Microsoft 365 Copilot?

Yes. Training can cover Copilot use across Word, Excel, PowerPoint, Outlook, Teams and Copilot Chat, subject to the organisation’s Microsoft licences and tenant configuration.

Can coal and power companies use Generative AI safely?

Yes, provided organisations use approved platforms, classify their data, restrict access, review generated output and prevent confidential operational information from being uploaded into unauthorised tools.

Does the training include ChatGPT and Custom GPTs?

Yes. Programmes can include ChatGPT, prompt engineering, Custom GPTs, knowledge assistants, workflow design and safe deployment principles.

Does the programme cover Claude?

Yes. Claude can be taught for document analysis, structured reasoning, technical drafting and research workflows. Availability of Anthropic models inside Microsoft Copilot depends on the relevant Microsoft environment, region and administrator configuration.

Can Parikshit train HR, sales and finance together?

Yes. A cross-functional workshop can use one common governance foundation followed by separate exercises for HR, sales, marketing, finance, operations and leadership.

Is onsite training available in Bhopal and Indore?

Programmes can be designed for onsite delivery in Bhopal, Indore and other Madhya Pradesh locations, along with online and hybrid formats.

Does the workshop include data security?

Yes. Data classification, privacy, approved-tool usage, access controls, verification, DLP concepts, third-party-model risks and human oversight can be integrated into the programme.

Book a Gen AI Training Programme in Madhya Pradesh

The companies that win in 2026 will not necessarily be those with the largest AI budgets.

They will be the organisations that train their people to:

• Ask better questions

• protect sensitive information

• verify AI-generated output

• automate the correct processes

• improve customer follow-up

• document knowledge

• make faster decisions

• retain human accountability

Whether you lead a manufacturing plant in Pithampur, a finance team in Indore, a government organisation in Bhopal, a hospital in Jabalpur, a tourism business in Ujjain or a coal and power operation in Singrauli, your AI journey should begin with practical capability and responsible governance.

Contact Parikshit Khanna

Email: parikshitkhanna@digitaltrainingjet.com

Phone: +91 9997213177 / +91 8076250669

Digital Training Jet: https://www.digitaltrainingjet.com/Official website: https://www.parikshitkhanna.com/

X: @ParikshitK_

Parikshit Khanna, TEDx speaker, corporate AI trainer and Founder of Digital Training Jet, helps organisations turn Generative AI from an experimental tool into a secure, measurable and practical business capability.

AI training is now a career-survival skill. For Madhya Pradesh’s leaders, professionals, industries and institutions, the right time to begin is now.