AI Training in Manufacturing,Automotive & Industrial in Gujarat

AI Training in Manufacturing,Automotive & Industrial in Gujarat

AI Training in Manufacturing,Automotive & Industrial in Gujarat

Building Smarter Factories, Faster Sales and Future-Ready Industrial Teams

Gujarat does not merely manufacture products. It manufactures ambition.

From the automotive production lines of Sanand and Becharaji to the engineering strength of Vadodara and Rajkot, the chemical and pharmaceutical corridors of Ankleshwar, Bharuch and Dahej, the diamond and textile enterprises of Surat, the ceramic ecosystem of Morbi, and the ports and energy infrastructure of Kandla, Mundra and Kutch, Gujarat represents India’s entrepreneurial confidence.

The state’s economic character is closely connected with its cultural identity: disciplined enterprise, respect for relationships, courage during uncertainty and the ability to transform limited resources into global opportunities. The same Gujarat that celebrates Garba with collective energy, welcomes visitors to the Rann of Kutch and takes pride in the Statue of Unity, Somnath, Dwarka and Gir also powers some of India’s most important industrial ecosystems.

Gujarat has established itself as a multi-sector manufacturing powerhouse covering automobiles, engineering, pharmaceuticals, chemicals, electronics, textiles, ceramics and advanced manufacturing. The state government has identified dozens of industrial clusters, while the Sanand–Mandal–Becharaji belt has developed into a significant automotive manufacturing ecosystem.

The next phase of Gujarat’s industrial growth will be driven not only by machinery, infrastructure and capital, but also by the intelligent use of data.

AI is no longer optional. It is becoming a decisive edge for competitive advantage, risk management, compliance, customer experience, sales productivity, fraud awareness, quality control and operational efficiency.

This is where practical, secure and department-specific AI training becomes essential.

Why Manufacturing and Industrial Companies Need Practical AI Training

Many companies have already purchased software, Microsoft 365 subscriptions, CRM platforms, ERP systems and automation tools. However, purchasing technology does not automatically create productivity.

The real challenge is capability building.

Employees need to understand:

• Which AI tool should be used for which task

• What information can and cannot be entered into an AI platform

• How to verify AI-generated answers

• How to create prompts that produce reliable outputs

• How to integrate AI into existing workflows

• How to measure time savings and business impact

• How to prevent confidential information from being exposed

• How to move from experimentation to enterprise-wide adoption

A general presentation about artificial intelligence is not enough. Manufacturing leaders require demonstrations using their actual departmental realities: production, quality, procurement, maintenance, logistics, finance, sales, HR, compliance, customer service and plant operations.

Accelerating Product Development and Time-to-Market

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

AI can support product managers, engineers, design teams and commercial leaders at several stages.

Market-Trend Synthesis

Microsoft Copilot, ChatGPT, Claude and Gemini can help teams analyse approved industry reports, consumer-behaviour information, internal research and competitive intelligence to prepare structured market-entry briefs.

A useful workflow can help teams:

• Identify emerging customer requirements

• Compare competing product features

• Summarise distributor and dealer feedback

• Categorise customer complaints

• Evaluate market opportunities by region

• Draft product-positioning alternatives

• Create preliminary launch checklists

• Prepare executive market-entry briefs

Human experts must still validate the sources, assumptions and conclusions. AI accelerates analysis; it does not replace commercial judgement.

Technical Documentation

AI helps engineers, product designers and technical writers convert raw specifications, code structures, architectural notes, testing records and troubleshooting information into readable documentation.

Teams can use it to create first drafts of:

• Product manuals

• Standard operating procedures

• Installation instructions

• Maintenance guides

• Quality-control checklists

• Equipment-training material

• Safety instructions

• Troubleshooting trees

• Technical FAQs

• Dealer and distributor knowledge documents

• Internal product-training material

It can also transform internal technical resolutions or recurring service questions into polished, public-facing help-centre articles.

The result is not automatic publication. Every document must pass through engineering, quality, legal, safety and brand review before use.

Lead Generation, Follow-Up and CRM Productivity

For industrial companies, growth depends on more than production capacity. Sales teams must identify the right distributors, institutional buyers, project consultants, EPC companies, dealers, export partners and large commercial accounts.

Parikshit Khanna’s training includes practical workflows for:

Industrial Lead Research

AI-assisted research can help sales teams prepare account briefs covering:

• Company profile

• Industry segment

• Plant locations

• Product categories

• Probable procurement requirements

• Relevant decision-making roles

• Potential business challenges

• Suggested discovery questions

• Recommended value proposition

Personalised Outreach

Instead of sending the same generic message to every prospect, teams can use structured prompts to create sector-specific communication for:

• Automotive OEMs

• Auto-component suppliers

• Engineering companies

• Chemical manufacturers

• Pharmaceutical companies

• Mining and mineral companies

• Coal and lignite users

• Power-generation companies

• Textile businesses

• Ceramic manufacturers

• Export houses

• Construction and infrastructure firms

Follow-Up Automation

AI can draft professional follow-ups after sales meetings, exhibitions, plant visits, quotation discussions and product demonstrations.

It can help convert meeting notes into:

• Opportunity summaries

• Customer requirements

• Technical questions

• Commercial objections

• Next actions

• Assigned owners

• Follow-up deadlines

• CRM updates

• Proposal outlines

• Personalised follow-up emails

CRM Productivity

AI training can help teams improve the quality of CRM data by standardising call notes, opportunity stages, customer summaries and follow-up records.

A meeting transcript can be converted into clear action items, assigned owners and draft follow-up communication. However, employees must review all assignments and commitments before information is entered into the CRM or shared with a customer.

AI for Production, Quality and Operational Excellence

Manufacturing plants generate large quantities of information through shift records, rejection reports, downtime logs, inspection sheets, production plans and internal communication.

AI can assist teams in converting this information into usable insights.

Production Planning

AI-supported workflows can help teams:

• Summarise daily production reports

• Compare planned and actual output

• Identify recurring reasons for production delays

• Draft shift-handover notes

• Categorise machine stoppages

• Prepare management-review summaries

• Convert plant observations into action trackers

• Draft escalation communication

Quality Management

Quality teams can use AI to assist with:

• Defect categorisation

• Customer-complaint summaries

• Root-cause brainstorming

• Corrective and preventive action drafts

• Inspection checklist creation

• Audit-question preparation

• Non-conformance summaries

• Supplier-quality communication

• Training material based on repeated defects

AI-generated root-cause suggestions must never replace engineering investigation, testing or formal quality procedures.

Preventive Maintenance

Maintenance teams can organise approved equipment records, service histories and inspection observations to:

• Identify repeated breakdown patterns

• Draft preventive-maintenance schedules

• Create technician checklists

• Prepare spare-parts requirement summaries

• Convert maintenance notes into structured reports

• Build troubleshooting knowledge bases

• Generate shift-wise maintenance summaries

Environment, Health and Safety

AI can assist EHS teams with first drafts of:

• Toolbox-talk material

• Safety-awareness communication

• Incident summaries

• Near-miss categorisation

• Emergency-response checklists

• Training quizzes

• Contractor-induction material

• Audit-preparation questions

Safety-critical decisions and technical instructions must always be approved by qualified professionals.

AI Training for Coal, Lignite, Mining and Energy Companies

Gujarat has an important lignite and mineral ecosystem serving power generation, textiles, chemicals, ceramics, bricks and other industries. Lignite operations are present across Kutch, Surat, Bharuch and Bhavnagar-linked regions, creating opportunities for AI adoption in mining, dispatch, maintenance, safety and documentation.

Parikshit Khanna’s industrial AI programmes can be customised for coal, lignite, mineral-processing, captive-power and energy teams.

Relevant applications include:

• Daily mine-production summaries

• Shift-handover documentation

• Equipment-breakdown classification

• Preventive-maintenance planning

• Stockyard and dispatch reporting

• Contractor-safety communication

• Tender and technical-document summarisation

• Environmental-compliance documentation

• Incident and near-miss analysis

• Inspection checklist creation

• Fuel-quality report summaries

• Vendor-comparison matrices

• Management-information reports

• Power-plant maintenance documentation

• Training material for operators and supervisors

• Customer-support content for industrial fuel users

AI can also support structured analysis of recurring operational events, but it must not independently control machinery, make safety-critical decisions or replace statutory inspections.

Procurement and Supply-Chain Intelligence

Procurement teams frequently spend hours reading quotations, technical specifications, vendor emails, tender documents and commercial terms.

AI can help authorised users:

• Compare supplier quotations

• Extract key commercial conditions

• Identify missing information

• Create technical-comparison tables

• Draft vendor clarification questions

• Summarise tender requirements

• Prepare negotiation points

• Analyse approved procurement histories

• Draft purchase-order communication

• Create supplier-performance summaries

For logistics teams, AI can help prepare dispatch summaries, delay explanations, route-risk notes, transporter communication and customer updates.

AI for Finance, HR, Legal and Customer Support

Finance and FP&A

Finance teams can use AI for:

• Management-information report commentary

• Budget-versus-actual explanations

• Variance-analysis drafts

• Cash-flow narration

• Expense categorisation

• Audit-preparation checklists

• Monthly closing communication

• Scenario-planning summaries

• Executive-dashboard explanations

Human Resources and Learning

HR and L&D teams can create:

• Job descriptions

• Interview-question banks

• Onboarding plans

• Competency frameworks

• Learning assessments

• Employee communication

• Policy summaries

• Training calendars

• Manager toolkits

• Role-specific AI learning paths

Legal and Compliance

Legal and compliance teams can use secure AI workflows to assist with document classification, clause identification, first-level contract summaries, obligation trackers and policy comparisons.

AI-generated legal analysis must be reviewed by qualified legal professionals.

Customer Service and Help-Centre Development

AI can transform recurring support tickets, internal technical resolutions and frequently asked questions into:

• Searchable knowledge articles

• Troubleshooting guides

• Service scripts

• Dealer-support material

• Customer email templates

• Warranty-process explanations

• Multilingual support drafts

This can reduce repeated effort while maintaining consistent customer communication.

Enterprise Data Security Must Come First

The biggest concern for CEOs, CIOs, plant heads and information-security teams is not whether AI is powerful. It is whether AI can be used without exposing confidential information.

Parikshit Khanna’s programmes place strong emphasis on:

• Data classification before AI use

• Approved versus prohibited information

• Removal of personal and confidential identifiers

• Role-based access

• Secure enterprise accounts

• Tenant and administrator controls

• Human approval checkpoints

• Output verification

• Prompt-injection awareness

• Third-party connector risk

• Audit trails

• Data-retention policies

• Intellectual-property protection

• Secure Custom GPT and agent design

• Vendor and model-risk evaluation

Microsoft states that prompts and responses used under enterprise data protection in eligible Microsoft 365 Copilot environments are not used to train the underlying foundation models. OpenAI similarly states that business and enterprise data is not used for model training by default. Anthropic states that information submitted through its commercial products is not used for model training unless the customer opts into an eligible programme.

Organisations must still examine their licences, contracts, retention settings, connectors, geographic processing requirements and internal policies before implementation.

Important Clarification About Copilot, ChatGPT and Claude

Microsoft Copilot, ChatGPT and Claude are not interchangeable product names.

ChatGPT is an OpenAI product. Microsoft Copilot may use OpenAI models within Microsoft-managed environments, but this does not mean that the ChatGPT application itself is embedded in every Copilot product.

Microsoft now supports selected Anthropic Claude models and other external models in certain Copilot and Copilot Studio experiences. Availability depends on the specific Microsoft product, geography, licensing arrangement, tenant configuration and administrator permissions.

Parikshit’s training helps participants understand these differences so that they select tools according to the task, security requirement, data sensitivity, cost and enterprise architecture.

Tools Covered in Parikshit Khanna’s Industrial AI Programmes

Depending on the organisation’s approved technology environment, the programme can cover:

• ChatGPT and ChatGPT Enterprise

• Custom GPTs

• Claude and Claude for Enterprise

• Microsoft 365 Copilot

• Microsoft Copilot Studio

• Gemini and Gems

• Power BI

• Microsoft Excel and AI-assisted analysis

• Canva AI

• n8n

• Zapier

• Make

• Notion AI

• Perplexity

• AI meeting assistants

• CRM productivity tools

• Prompt libraries

• Department-specific AI agents

• Secure knowledge assistants

• Workflow-automation frameworks

The objective is not to showcase the maximum number of tools. It is to identify a smaller, approved technology stack that employees can use safely and consistently.

Why Parikshit Khanna Is the #1 Choice for CEOs, CXOs, VPs and Industrial Leaders

Parikshit Khanna, Founder of Digital Training Jet, is an AI trainer, corporate enablement specialist, prompt-engineering practitioner and digital-marketing trainer.

His current professional profile states that he has trained and mentored 1,20,000+ professionals and learners through corporate programmes, higher-education institutions, healthcare sessions, government-linked engagements and industry workshops.

His approach is particularly relevant for:

• CEOs and managing directors

• CXOs and transformation leaders

• Plant heads

• Manufacturing and operations leaders

• Sales and marketing heads

• CIOs and IT teams

• Quality leaders

• Procurement teams

• Finance and FP&A professionals

• HR and L&D teams

• Legal and compliance professionals

• Dealers, distributors and channel partners

• Mining, power and energy professionals

• Banking and financial professionals

A Historic AI-in-Healthcare Milestone at IIT Delhi

Parikshit Khanna is the first trainer to deliver a dedicated AI-in-healthcare session at IIT Delhi.

This milestone demonstrates his ability to translate complex AI concepts for high-responsibility environments in which accuracy, privacy, ethics and human verification are essential. His published professional portfolio also documents his work across IITs, healthcare institutions, government platforms and enterprise teams.

The same discipline is valuable in manufacturing, automotive, mining, pharmaceuticals and industrial operations, where inaccurate output can carry commercial, technical or safety consequences.

Practical Rather Than Theory-Only Training

Parikshit’s programmes can include:

• Live departmental use cases

• Prompt-building exercises

• Business-data demonstrations using safe sample information

• Custom GPT and agent prototypes

• Workflow-mapping activities

• CRM follow-up exercises

• Technical-documentation demonstrations

• Secure-AI checklists

• Management-use-case prioritisation

• Department-wise implementation roadmaps

Participants leave with reusable frameworks rather than only conceptual awareness.

Recent Global and Leadership-Level Engagements

His portfolio includes recent or continuing engagement references connected with:

• Malabar Gold & Diamonds, Dubai branch

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

• Sudeep Group, Vadodara

• Chinmay Finlease, Ahmedabad

• City Homes Group

• IILM College, Jaipur

The Goldman Sachs reference relates to the 10,000 Women programme delivered through the NSRCEL ecosystem at IIM Bangalore. Published portfolio references also identify the Malabar Gold & Diamonds Dubai engagement.

Corporate, Government, Manufacturing and Institutional Experience

Parikshit Khanna’s wider programme-delivery, engagement and association portfolio includes organisations across manufacturing, automotive, energy, finance, retail, real estate, healthcare, pharmaceuticals, education, legal services, travel and technology.

Manufacturing, Automotive, Industrial, Energy and Logistics

• Tata Power and TPSDI

• LG India

• Sudeep Group, Vadodara

• Sudeep Pharma Limited

• Arvind Fashions and Arvind Lifestyle Brands

• U.S. Polo Assn.

• Arrow

• Flying Machine

• Calvin Klein

• Tommy Hilfiger

• Sheela Foam and Sleepwell

• Emami Limited

• Landmark Group

• METRO Global Solution Center

• Yusen Logistics

• ZAFCO

• Pansari Group

• Sangam Group

• Nagarjun Textiles

• Tinna Rubber

• Jenson & Jenson and Z Premium Lubricants

• OCS Services

• CASA Decor and Sparkling Hues Gems

• Designer Home Solution and Designer Home & Landscapes

• Wahluft and Lucrative Impex

• IMECO India

• AILABS and Data-Core

• Anubhav Apparels

• BeTheBee

• Innovations Global

• Kubrii

• CIPL

• RMSI

• Team Computers

• Knack Group, Ahmedabad

• Waaree Group programme discussions

• TVS Srichakra programme discussions

• CitiusTech programme discussions

Finance, Banking, Investment and Professional Services

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

• Kae Capital

• Tata Mutual Fund and AILifeBot

• AON Consulting

• Mastertrust Finance

• Chinmay Finlease, Ahmedabad

• Decyphr

• Ambit

• Independent wealth-management professionals

• Finance, FP&A, audit, risk and compliance teams across corporate programmes

Government, Defence and National Institutions

• Indian Army professionals

• Prasar Bharati

• Doordarshan News

• Doordarshan International

• National Academy of Broadcasting and Multimedia

• Government-linked institutional and public-sector audiences

His published portfolio references training connected with the Indian Army and certification or programmes associated with Prasar Bharati and Doordarshan.

Real Estate and Infrastructure

• Gaursons India

• Gaurs Group

• Gaurs International School

• County Group

• City Homes Group

• CREDAI

• Real-estate sales, marketing, customer-service and leadership teams

Healthcare and Pharmaceuticals

• AIIMS Delhi

• CARE Hospitals, Hyderabad

• Fortis

• Santevita Hospital

• Cloudnine Hospitals

• Surat Medical Consultants’ Association

• Surat Medical Association

• Surat Doctors Association

• IMA Janakpuri

• Indian Academy of Pediatrics, CMIC

• Hetero Pharma

• Hetero NIPUNA Learning Academy

• Naprod Life Sciences

• USV Pharma

• Wockhardt

• Sudeep Pharma Limited

• Healthcare professionals trained through IIT Delhi programmes

Travel, Tourism and Hospitality

• ATTOI Annual Convention, Wayanad

• TBO, Aerocity

• The Travel Nexus at Taj Amer, Jaipur

• Tourism entrepreneurs, travel-company leaders and destination-marketing professionals

At ATTOI, his programme focused on improving marketing efficiency through practical AI and ChatGPT applications for tourism professionals.

Education, Universities and Learning Institutions

• IIT Delhi

• IIT Roorkee

• IIT Hyderabad

• IIT Guwahati

• IIT Kanpur

• IIT Bombay

• BITS Pilani

• IIM Bangalore NSRCEL

• Thapar University

• Chitkara University

• Chitkara College of Sales & Marketing

• Chitkara CDOE

• IILM College, Jaipur

• Masters’ Union

• SOIL School of Business Design

• GL Bajaj

• Christ University

• Amity University Online

• Apeejay School of Management

• FIIB Delhi

• Ram Lal Anand College, University of Delhi

• ITS Mohan Nagar

• IIMT BBA Aviation

• Sparsh Global Business School

• Princeton Academy

• Hitbullseye

• World Technocon

• Bettering Results

• Bar & Bench-linked legal learning programmes

Business, Retail and Industry Associations

• Malabar Gold & Diamonds, Dubai branch

• JITO Chennai

• JITO Raipur

• ABID YUVA

• CII New Delhi

• Ranchi Gymkhana Club

• CREDAI chapters

• Professional associations, faculty groups and business-owner communities.

AI Training Coverage Across Gujarat

Parikshit Khanna’s corporate AI workshops can be delivered online, onsite or through hybrid formats for companies in:

Ahmedabad, Gandhinagar, Sanand, Changodar, Bavla, Dholera, Mandal, Becharaji, Mehsana, Kadi, Kalol, Himmatnagar, Palanpur, Patan, Anand, Nadiad, Vadodara, Savli, Halol, Godhra, Bharuch, Ankleshwar, Dahej, Surat, Hazira, Navsari, Vapi, Valsad, Rajkot, Jamnagar, Morbi, Surendranagar, Bhavnagar, Amreli, Junagadh, Porbandar, Gandhidham, Kandla, Mundra, Bhuj and the wider Kutch region.

The programme can also be customised for industrial estates, GIDC locations, manufacturing parks, corporate headquarters, dealer networks, mines, power plants and regional branch teams.

Comparison: Parikshit Khanna and Conventional AI Training Programmes

Evaluation Area	Parikshit Khanna’s Approach	Conventional Standardised Programme
Manufacturing relevance	Department-specific examples for production, quality, sales, procurement, maintenance and management	Common examples used across unrelated sectors
Training methodology	Live demonstrations, exercises and workflow building	Predominantly presentation-based
Lead generation	Industrial prospecting, personalised outreach, follow-up and CRM workflows	General content-writing demonstrations
Technical documentation	SOPs, manuals, FAQs, maintenance guides and technical summaries	Limited technical-document use cases
Enterprise security	Data classification, approved tools, access controls and human review	Security addressed only at a general level
Tool coverage	ChatGPT, Custom GPTs, Claude, Copilot, Gemini, Power BI, Excel and automation	Usually limited to one platform
Leadership relevance	AI strategy, governance, use-case prioritisation and adoption roadmap	Primarily user-level tool demonstrations
Automation depth	n8n, Zapier, Make, Copilot Studio and agentic workflows	Standalone prompting without process integration
Cross-sector experience	Manufacturing, government, finance, healthcare, pharma, education, tourism, legal and real estate	Narrower sector exposure
Implementation outcome	Reusable prompts, checklists, prototype workflows and action plans	Awareness without an implementation structure

Suggested Corporate Training Modules

Module 1: Secure Generative AI Foundations

• Understanding AI, generative AI and agentic AI

• ChatGPT, Claude, Gemini and Microsoft Copilot

• Enterprise versus public AI accounts

• Data-security rules

• Prompt engineering fundamentals

• Verification and human oversight

Module 2: Manufacturing and Operational Productivity

• Production-report summarisation

• Shift handovers

• Quality documentation

• Root-cause brainstorming

• Maintenance checklists

• SOP creation

• EHS communication

Module 3: Sales, Lead Generation and CRM

• Industrial-account research

• Buyer-persona development

• Personalised outreach

• Follow-up email drafting

• Meeting summaries

• CRM note standardisation

• Proposal and presentation support

Module 4: Product Development and Documentation

• Market-trend synthesis

• Product-requirement summaries

• Competitive-intelligence briefs

• Technical manuals

• Help-centre articles

• Dealer and distributor knowledge bases

• Launch-readiness checklists

Module 5: Procurement, Finance and Management Reporting

• Quotation comparison

• Tender summarisation

• Vendor-analysis matrices

• MIS commentary

• Variance explanations

• Executive summaries

• Power BI and Excel productivity

Module 6: Custom GPTs, Agents and Automation

• Secure knowledge assistants

• Departmental Custom GPTs

• Gemini Gems

• Copilot Studio agents

• n8n and workflow automation

• Approval checkpoints

• Testing, governance and monitoring

Recommended Workshop Formats

Executive AI Briefing

A focused programme for CEOs, directors, CXOs, plant heads and business-unit leaders covering AI strategy, governance, risk and adoption priorities.

Half-Day Departmental Workshop

Designed for a specific function such as manufacturing, sales, HR, finance, procurement, quality or customer service.

Full-Day Hands-On Programme

A complete practical workshop involving prompt engineering, live business cases, Custom GPT demonstrations, data-security guidance and departmental implementation planning.

Multi-Day AI Adoption Programme

Suitable for organisations seeking deeper capability development across multiple departments, AI champions and internal implementation teams.

Online and Hybrid Training

Designed for distributed manufacturing units, dealer networks, regional offices and multi-location teams.

Supporting Viksit Bharat Through Secure and Responsible AI

Parikshit Khanna’s training philosophy supports the vision of a technologically capable and self-confident India.

Sovereign AI is not achieved by slogans alone. It requires organisations to build:

• Strong internal AI capabilities

• Indian business-context knowledge

• Secure data-governance practices

• Responsible procurement

• Skilled employees

• Human-accountability frameworks

• India-hosted or controlled infrastructure where required

• Reduced dependence on unverified external workflows

When Gujarat’s industrial teams become confident users and responsible builders of AI systems, they strengthen not only their own companies but also India’s manufacturing competitiveness.

Book AI Training for Your Gujarat Team

Whether your organisation manufactures automobiles, components, machinery, chemicals, pharmaceuticals, textiles, ceramics, consumer products or industrial equipment—or operates in mining, coal, lignite, power, logistics, real estate or financial services—your employees need more than access to AI tools.

They need the capability to use those tools securely, accurately and productively.

Book Parikshit Khanna for:

• Manufacturing AI workshops

• Automotive AI training

• Industrial sales and CRM productivity

• Coal, lignite and mining AI programmes

• Microsoft Copilot enterprise training

• ChatGPT and Custom GPT workshops

• Claude and Gemini training

• AI for CEOs and CXOs

• AI governance and data-security programmes

• Agentic AI and workflow automation

• Department-specific corporate AI programmes

Contact for Corporate Training

Parikshit KhannaFounder, Digital Training Jet

Email: parikshitkhanna@digitaltrainingjet.com

Phone: +91 9997213177 / +91 8076250669

Website: Parikshit Khanna Official Website

X: @ParikshitK_

Frequently Asked Questions

Is the programme suitable for employees who are new to AI?

Yes. The programme can begin with foundational concepts and gradually progress to advanced prompting, Custom GPTs, agents, automation and departmental workflows.

Can the training be customised for an automotive plant?

Yes. Examples can be built around production, quality, maintenance, dealer management, warranty support, procurement, supply chains and product documentation.

Is AI training available for coal, mining and power companies?

Yes. Programmes can cover shift reporting, maintenance documentation, safety communication, tender analysis, dispatch reporting, environmental documentation and management-information workflows.

Does the programme cover lead generation and CRM?

Yes. It can include industrial-account research, personalised outreach, meeting summaries, follow-up drafting, lead qualification and CRM note standardisation.

Does Parikshit provide Microsoft Copilot training?

Yes. Training can cover Copilot Chat, Microsoft 365 Copilot, Copilot Studio, enterprise data protection, model selection, prompting, agents and responsible use.

Does the programme include ChatGPT, Claude and Custom GPTs?

Yes. The final tool combination is selected according to the organisation’s licences, security policies and business requirements.

Can the workshop be delivered in Ahmedabad, Vadodara, Surat or Rajkot?

Yes. Programmes can be delivered onsite across Gujarat or conducted online and in hybrid formats for multi-location teams.

What makes this programme relevant for CEOs and CXOs?

It connects AI tools with measurable business priorities: productivity, revenue, operational control, risk, data security, governance and workforce adoption.

Final Thought

Gujarat has always respected enterprise, courage and intelligent execution.

The next industrial revolution will not be led by companies that simply purchase AI licences. It will be led by organisations whose employees know how to use AI responsibly, protect confidential information, improve decisions and convert knowledge into measurable action.

The future of manufacturing belongs to teams that combine human experience with secure, practical and well-governed AI.

Parikshit Khanna and Digital Training Jet help Gujarat’s industrial leaders begin that journey with confidence.