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Gen AI Trainer in Rajasthan

Gen AI Trainer in Rajasthan: How CEOs, HR, Sales, Marketing and Finance Teams Can Win in 2026

Gen AI Trainer in Rajasthan
Gen AI Trainer in Rajasthan

Artificial intelligence is no longer optional for Rajasthan’s businesses. It is becoming a decisive capability for competitive advantage, risk management, compliance, customer experience, fraud detection, productivity and operational efficiency.


The real question for CEOs is no longer, “Should we use AI?”

It is:

How do we deploy AI securely, practically and quickly enough to create measurable business value?

This is where a practical Gen AI trainer in Rajasthan can make the difference between employees experimenting with disconnected tools and an organisation implementing structured, secure and repeatable AI workflows.


Rajasthan is actively strengthening its industrial and digital ecosystem. The state’s identified investment sectors include agriculture and food processing, automotive and components, chemicals, renewable energy, tourism, education, skills and technology. Its 2026 policy environment also includes industrial development, AI and machine learning, aerospace, defence, semiconductor, logistics, textile and data-centre initiatives.

RIICO has developed hundreds of industrial areas across Rajasthan, creating a substantial opportunity for business-focused AI adoption in manufacturing, mining, logistics, textiles, hospitality, education, finance and professional services.


Rajasthan Needs AI That Respects Both Heritage and Ambition

Rajasthan has always understood how to preserve identity while building for the future.

Jaipur combines the architectural character of the Pink City with modern enterprises, startups, hospitality groups and technology-enabled service businesses. Jodhpur blends traditional craftsmanship with manufacturing, exports and modern commerce. Udaipur’s tourism, weddings, luxury hospitality and real-estate sectors depend on exceptional customer experience. Kota represents education at scale, while Bhiwadi, Neemrana and Alwar support major industrial and automotive ecosystems.


Bhilwara is associated with textiles, Kishangarh with marble, Jaisalmer with desert tourism and renewable-energy potential, and Barmer, Bikaner, Nagaur, Jaisalmer and Jalore have strong relevance for lignite, minerals, energy and associated industries. Rajasthan’s official mining resources highlight its extensive mineral base and substantial lignite resources.

At the same time, places such as Hawa Mahal, Mehrangarh Fort, Pushkar, Udaipur’s lakes and palaces, and Jaisalmer’s living fort remind us that Rajasthan’s strongest economic stories are connected to culture, hospitality, trust and human relationships. AI adoption in this region must therefore support people rather than remove the human warmth that makes Rajasthan distinctive.


Corporate and institutional programmes can be delivered across Rajasthan’s 41 districts, including:

Ajmer, Alwar, Balotra, Banswara, Baran, Barmer, Beawar, Bharatpur, Bhilwara, Bikaner, Bundi, Chittorgarh, Churu, Dausa, Deeg, Dholpur, Didwana-Kuchaman, Dungarpur, Hanumangarh, Jaipur, Jaisalmer, Jalore, Jhalawar, Jhunjhunu, Jodhpur, Karauli, Khairthal-Tijara, Kota, Kotputli-Behror, Nagaur, Pali, Phalodi, Pratapgarh, Rajsamand, Salumbar, Sawai Madhopur, Sikar, Sirohi, Sri Ganganagar, Tonk and Udaipur. Rajasthan is currently divided into 41 administrative districts.


Meet Parikshit Khanna: Corporate AI Trainer and TEDx Speaker

Parikshit Khanna is the Founder of Digital Training Jet, a corporate enablement specialist, prompt engineer and AI trainer focused on converting Generative AI into practical business workflows.

His updated professional portfolio reports that his training, educational programmes, conferences and digital learning initiatives have reached 357,000 professionals and learners.


He is also a TEDx speaker, with a TEDxEicher School Faridabad Youth profile focused on his work as an AI trainer, entrepreneur and corporate educator.


His programmes can cover:

  • Microsoft 365 Copilot

  • Copilot Chat

  • Word, Excel, PowerPoint, Outlook and Teams with Copilot

  • ChatGPT

  • Custom GPTs

  • Claude

  • Gemini and Gems

  • Agentic AI

  • Prompt engineering

  • n8n and workflow automation

  • Power BI

  • Canva AI

  • Custom AI assistants

  • AI for documents, spreadsheets and presentations

  • Legal and compliance AI

  • Department-specific AI adoption

  • Enterprise data security and governance


As per the records, Parikshit Khanna was the first trainer to deliver a dedicated AI-in-healthcare training session at IIT Delhi. His healthcare AI work has included practical applications for doctors, hospitals, pharmaceutical professionals and healthcare administrators.



Why Parikshit Khanna Can Be the #1 Choice for CEOs, CXOs, VPs and Banking Professionals

Senior leaders do not need another general introduction to artificial intelligence. They need a trainer who can connect AI tools to business outcomes, department-level responsibilities, governance requirements and employee capability.


Parikshit’s approach is designed around six business priorities:

  1. Practical workflows instead of theoretical demonstrations

  2. Department-specific use cases instead of generic prompts

  3. Data security before convenience

  4. Human validation before automated execution

  5. Measurable productivity instead of tool excitement

  6. Implementation frameworks that employees can continue using after the session

A CEO may need AI for strategy synthesis, decision briefs and market intelligence.

An HR head may need policy drafting, learning design and workforce analytics. A finance leader may require secure variance analysis, FP&A support and management reporting.

Each team requires a different workflow, risk framework and success metric.


AI Use Cases for CEOs and CXOs

1. Market Trend Synthesis

Microsoft Copilot, ChatGPT and Claude can support leaders in reviewing authorised industry reports, consumer behaviour information and competitive intelligence.

They can help structure:

  • Market-entry briefs

  • Competitor summaries

  • Strategic opportunity maps

  • Board-level discussion notes

  • Scenario-planning documents

  • Expansion hypotheses

  • Risk and dependency registers

AI should not make an unsupervised strategic decision. It should reduce the time required to organise information so that experienced leaders can apply better judgment.


2. Faster Executive Decision Briefs

Instead of reading multiple unstructured reports, executives can use approved AI tools to create a consolidated brief containing:

  • Current situation

  • Key data points

  • Business implications

  • Unanswered questions

  • Risks

  • Recommended next actions

  • Decisions requiring leadership approval


3. Accelerating Product Time-to-Market

Accelerating the time-to-market for a new product requires rapid market alignment, technical documentation, internal coordination and customer communication.

AI can assist product teams in converting raw research, specifications and meeting notes into:

  • Market requirement documents

  • Product positioning options

  • Customer persona summaries

  • Launch checklists

  • Product FAQs

  • Distributor communication

  • Sales enablement material

  • Training documents

  • Post-launch review templates

This allows technical, marketing, sales and leadership teams to work from a shared information structure.



AI Use Cases for HR Teams

HR teams can use Generative AI to reduce administrative workload while protecting employee confidentiality.

Practical applications include:

  • Job description development

  • KRA and KPI drafting

  • Competency frameworks

  • Structured interview questions

  • Employee onboarding plans

  • Training-needs analysis

  • Learning-module development

  • Policy simplification

  • Employee communication

  • Survey-theme analysis

  • Performance-review preparation

  • Internal mobility frameworks


A responsible HR programme must also teach employees what information should never be entered into an unapproved public AI tool.


Names, compensation details, medical information, disciplinary records, personal identifiers and confidential performance information require strong controls.



AI for Sales, Lead Generation and CRM Productivity

Sales teams frequently lose opportunities because follow-up is delayed, customer information is fragmented or sales calls are not converted into clear action.

Parikshit’s training can demonstrate how AI supports:

Lead Research

Teams can create structured prospect briefs containing:

  • Company profile

  • Industry

  • Likely business challenges

  • Relevant products or services

  • Recent developments

  • Possible decision-makers

  • Personalised conversation starters


Personalised Outreach

AI can draft first-contact emails, LinkedIn messages, WhatsApp follow-ups and meeting requests based on the lead’s industry, role and likely challenge.


Meeting Intelligence

With an approved meeting transcript, AI can:

  • Extract decisions

  • Identify objections

  • Summarise customer requirements

  • Produce clear action items

  • Suggest owners for each action

  • Draft follow-up communication

  • Prepare the next-meeting agenda

  • Create CRM-ready notes

Ownership and due dates must always be reviewed before being added to a CRM or task-management system.


Follow-Up Discipline

AI can help sales managers establish:

  • Day-one follow-up messages

  • Seven-day nurturing sequences

  • Dormant-lead reactivation

  • Proposal-reminder workflows

  • Lost-lead analysis

  • Customer renewal communication

  • Escalation templates

  • CRM hygiene checks

This is particularly valuable for real estate, hospitality, education, financial services, healthcare, manufacturing and B2B sales teams.


AI for Marketing Teams

Marketing teams can move from random content creation to structured campaign intelligence.

Practical applications include:

  • Campaign planning

  • Audience segmentation

  • Persona development

  • Content calendars

  • Regional-language adaptation

  • Social-media copy

  • Email sequences

  • Performance-summary drafts

  • Competitor analysis

  • Customer-review synthesis

  • Creative briefing

  • Brand-compliance checks

  • SEO content outlines

  • Distributor and dealer communication

For Rajasthan’s tourism sector, AI can help hotels, travel companies and destination marketers develop personalised itineraries, multilingual guest communication, seasonal campaigns and post-visit engagement without losing the hospitality and emotional connection expected by travellers.


AI for Finance, Banking and BFSI Teams

AI is becoming a significant capability for financial planning, customer service, compliance research, risk documentation and operational efficiency.

Programmes for CEOs, CFOs, VPs, FP&A teams, branch teams, wealth managers, risk officers and compliance professionals can include:

  • Variance commentary

  • Budget-versus-actual analysis

  • Management information summaries

  • Reconciliation support

  • Portfolio-review preparation

  • Credit-memo structuring

  • KYC document checklists

  • Fraud-pattern investigation prompts

  • Audit preparation

  • Regulatory update summaries

  • Customer communication

  • Wealth-management briefing

  • Policy interpretation

  • Cash-flow scenario analysis

  • Board presentation development

  • Secure workflow automation

  • Power BI dashboard planning

The objective is not to allow AI to approve credit, make investment decisions or interpret regulation without professional oversight.


The objective is to help authorised professionals analyse, document and communicate more efficiently.


AI for Manufacturing, Engineering and Production

Manufacturing companies need AI training grounded in plant operations, technical documentation and process reliability.

Technical Documentation

AI can help engineers and product designers convert authorised raw specifications, code structures, architectural notes or technical resolutions into:

  • Structured user manuals

  • Product documentation

  • Installation instructions

  • Preventive-maintenance guides

  • Troubleshooting trees

  • Quality checklists

  • Operator instructions

  • Training material

  • Dealer-support documentation

It can also transform internal technical resolutions and approved FAQs into polished public-facing help-centre articles.


Production and Maintenance

AI can support:

  • Shift-handover summaries

  • Root-cause-analysis preparation

  • Preventive-maintenance planning

  • Breakdown-report structuring

  • Spare-parts analysis

  • Vendor comparison

  • Inspection checklists

  • CAPA documentation

  • Safety communication

  • Work-instruction simplification

  • Daily production reports

  • Waste and rejection analysis


Procurement and Supply Chain

Teams can use AI to assist with:

  • RFQ development

  • Vendor-email drafting

  • Bid-comparison structures

  • Contract-clause summaries

  • Import-export tracking

  • Purchase-order exception analysis

  • Logistics communication

  • Inventory observations

  • Supplier review preparation

Human verification remains essential for technical tolerances, prices, contract terms, delivery commitments and safety requirements.



Opportunities for Coal, Lignite, Mining and Power Companies

Rajasthan’s mining and energy ecosystem creates a strong need for practical AI capability. The state has significant mineral resources and substantial lignite deposits, particularly in western and north-western districts.


Coal, lignite, mineral, cement, power-generation and associated engineering companies can use controlled AI workflows for:

  • Mine-shift reporting

  • Equipment-maintenance summaries

  • Safety observation analysis

  • Environmental documentation

  • Tender review

  • Vendor evaluation

  • Fuel and inventory reporting

  • Technical SOP development

  • Incident-report structuring

  • Contractor communication

  • Compliance calendars

  • Project-risk registers

  • Training content for plant workers

  • Executive production dashboards

  • Stakeholder and community communication


This makes Parikshit’s experience with power, engineering, automotive components, rubber, textiles, pharmaceuticals and industrial organisations relevant to Rajasthan’s mining and energy ecosystem.



Enterprise Data Security Must Come Before AI Scale

Enterprise AI training should never begin with prompts alone.

It should begin by answering:

  • What data can be used?

  • Which platform is approved?

  • Who has access?

  • Where is the information stored?

  • Can the output be shared externally?

  • Does the workflow contain personal, financial, medical or commercially sensitive information?

  • Who must review the result?

  • What activity should be logged?


Microsoft states that eligible Microsoft 365 Copilot experiences provide enterprise data protection, tenant isolation, encryption and contractual protections for prompts and responses. Microsoft also states that prompts and responses protected by Copilot Chat’s enterprise controls are not used to train the underlying foundation models.

OpenAI states that information from its business and enterprise offerings is not used for model training by default.


A secure corporate programme should therefore cover:

  • Data classification

  • Role-based access

  • Least-privilege permissions

  • Redaction and anonymisation

  • Approved-tool policies

  • Retention requirements

  • Prompt and output review

  • Human approval checkpoints

  • Audit logging

  • Intellectual-property controls

  • Vendor and subprocessor review

  • Secure connector configuration

  • Incident-escalation procedures



Claude, Microsoft Copilot and ChatGPT: Understanding the Difference

Microsoft 365 Copilot now provides Claude model access in selected experiences and regions, subject to administrative controls. Microsoft documentation indicates that users may be able to select Claude for certain Copilot features, such as complex analysis, document understanding, Researcher and selected Excel workflows.

Microsoft Copilot also uses OpenAI GPT models. However, ChatGPT is a separate OpenAI platform.


A complete corporate programme can therefore teach teams how to select the correct environment:

  • Microsoft 365 Copilot: Work grounded in authorised Microsoft 365 content and workplace applications

  • ChatGPT: Research, drafting, analysis, projects and Custom GPT workflows

  • Claude: Long-document analysis, structured reasoning and selected Microsoft Copilot experiences

  • Gemini: Google Workspace and multimodal workflows

  • Custom GPTs and agents: Repeatable organisation-specific assistance

  • n8n and automation: Multi-step process automation with suitable governance

  • Power BI: Reporting, dashboard development and decision support

The objective is not to declare one platform suitable for every situation. The objective is to match the platform, data classification and workflow to the business requirement.



Healthcare and Pharmaceutical Training Experience

Parikshit’s healthcare and pharmaceutical engagement portfolio includes work connected with:

  • AIIMS Delhi

  • IIT Delhi healthcare programmes

  • IIT Hyderabad healthcare programmes

  • IIT Guwahati

  • CARE Hospitals

  • Fortis

  • Santevita Hospital

  • Cloud 9

  • Surat Medical Consultants’ Association

  • Surat Medical Association

  • IMA Janakpuri

  • IAP-CMIC

  • Indian Society of Medical and Paediatric Oncology

  • Hetero Pharma

  • Naprod Life Sciences

  • USV Pharma

  • Wockhardt

  • Sudeep Pharma Limited

  • Independent doctor and healthcare groups


This experience is relevant to health insurance, claims administration, pharmaceutical finance, medical documentation, hospital operations and regulated customer communication.

Healthcare programmes must emphasise that patient-identifiable information should not be entered into unapproved AI environments.



Client and Engagement Portfolio

The following names reflect the consolidated 2024 to 2026 professional engagement portfolio supplied for this article. Categories overlap because an organisation may operate across several sectors.


Banking, Finance, Investment and Professional Services

  • Kae Capital

  • Tata Mutual Fund and AILifeBot

  • AON Consulting

  • Decyphr

  • Green Earth Advisory

  • Chinmay Finlease, Ahmedabad

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

  • Bettering Results

  • Bar and Bench ecosystem programmes

  • Gaur Sons

  • County Group

  • CREDAI-linked real-estate audiences

  • City Homes Group


Manufacturing, Engineering, FMCG and Production

  • Emami Ltd.

  • 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

  • Sheela Foam and Sleepwell

  • Hetero Pharma

  • Sudeep Pharma Limited

  • Sudeep Group, Vadodara

  • Arvind Fashions

  • Arvind Lifestyle Brands

  • Tata Power

  • LG India

  • Pansari Group

  • Yusen Logistics

  • Wahluft and Lucrative Impex

  • CIPL


Enterprise, Technology, Retail and Real Estate

  • Malabar Gold and Malabar Group, including Dubai-linked business operations

  • METRO Global Solution Center

  • RMZ Real Assets

  • Homeland Group

  • Amdocs

  • Landmark Group

  • Gaur Sons

  • County Group

  • City Homes Group

  • Designer Home Solution

  • Designer Home and Landscapes, Kolkata

  • IMECO India

  • AILABS and Data-Core

  • Innovations Global

  • Kubrii

  • BeTheBee

  • Mall of Ranchi

  • ZAFCO Group Holding Limited, Dubai

  • InnovMetric and PolyWorks, Quebec and India


Government, Public Institutions and National Organisations

  • Indian Army

  • Prasar Bharati

  • National Academy of Broadcasting and Multimedia

  • All India Radio

  • Doordarshan

  • AIIMS Delhi

  • Delhi University

  • IIT Delhi

  • IIT Hyderabad

  • IIT Guwahati

  • Delhi Technological University

  • Amity University Online

  • Government and public-sector professional audiences


Universities, Colleges and Learning 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

  • Thapar University

  • GL Bajaj Institute of Management and Research

  • IILM College, Jaipur

  • IILM Lodhi Road, New Delhi

  • SOIL School of Business Design

  • Masters’ Union

  • Amity University

  • Amity University Online

  • AURO University

  • KR Mangalam University

  • SDA Bocconi Asia Center

  • Delhi Technological University

  • Christ University, Bengaluru

  • Shahaji Law College, Kolhapur

  • KIET Group of Institutions

  • Galgotias University

  • Princeton Academy

  • Bettering Results

  • Eicher School Faridabad TEDx Youth


Tourism, Travel and Hospitality

  • ATTOI Annual Convention, Wayanad

  • TBO Aerocity

  • Travel Nexus at Taj Amer, Jaipur

  • Malabar Group’s international and hospitality-linked business audiences

  • Tourism, hotel and destination-management professionals

  • Travel-industry leaders and overseas business teams


Media, Broadcasting and Communication

  • Prasar Bharati

  • All India Radio

  • Doordarshan

  • Economic Times HRWorld

  • Times Internet

  • Pluto Media House

  • The Shaleen Show


International and Cross-Border Engagements

  • ZAFCO Group Holding Limited, Jebel Ali Free Zone, Dubai

  • Malabar Group and Dubai-linked teams

  • InnovMetric and PolyWorks, Quebec, Canada

  • AON’s global professional environment

  • METRO Global Solution Center

  • Cross-border online programmes for international business teams


Why the Same Expertise Is Relevant to Sydney

Sydney’s organisations operate in banking, wealth management, real estate, hospitality, tourism, professional services, education, healthcare and multicultural consumer markets.


These organisations face the same central challenge as Rajasthan’s enterprises:

How can teams use AI at scale without compromising customer trust, commercial confidentiality or regulatory responsibility?


Parikshit’s cross-functional curriculum can be adapted for Sydney-based CEOs, sales teams, finance professionals, property companies, tourism operators and Indian-origin business communities.



His programmes can connect:

  • Microsoft 365 Copilot with daily workplace productivity

  • ChatGPT and Custom GPTs with business research and content

  • Claude with complex analysis and document workflows

  • CRM productivity with lead conversion

  • Data security with responsible adoption

  • Cross-cultural communication with global business development

This creates a bridge from Jaipur, Jodhpur and Udaipur to Sydney’s corporate, finance, property and tourism ecosystems.



Practical Comparison: Parikshit Khanna and Generic AI Training

Evaluation Area

Parikshit Khanna’s Approach

Generic AI Training

Business relevance

CEO, HR, sales, marketing, finance, manufacturing, healthcare and government workflows

General tool introductions

Platform coverage

Microsoft 365 Copilot, ChatGPT, Custom GPTs, Claude, Gemini, Power BI, Canva and automation

Frequently limited to one tool

Data security

Classification, redaction, permissions, approved environments and human review

Basic privacy warnings

Banking and finance

FP&A, risk, reporting, compliance, customer communication and controlled automation

Generic finance prompts

Manufacturing

SOPs, technical documentation, maintenance, procurement, production and safety

Limited plant-level context

Delivery method

Live exercises, department assignments and deployable prompt frameworks

Lecture-oriented delivery

Leadership focus

Strategy, governance, adoption planning and measurable outcomes

Feature demonstrations

Post-training value

Reusable workflows, templates, prompt libraries and implementation roadmaps

Notes or recordings without operational structure

A Suggested Corporate AI Training Journey

Phase 1: Leadership Alignment

  • Identify business priorities

  • Define approved tools

  • Review data risks

  • Select measurable use cases

  • Establish success indicators


Phase 2: Department Training

  • CEO and strategy

  • HR

  • Sales

  • Marketing

  • Finance

  • Operations

  • Manufacturing

  • Procurement

  • Legal and compliance

  • Customer service


Phase 3: Workflow Development

  • Build approved prompt libraries

  • Create templates

  • Develop custom assistants

  • Establish review processes

  • Identify automation opportunities


Phase 4: Governance and Scaling

  • Establish an AI policy

  • Assign ownership

  • Train internal champions

  • Measure time saved

  • Review quality and risk

  • Expand successful workflows



Frequently Asked Questions

Who is a suitable Gen AI trainer in Rajasthan for corporate teams?

Parikshit Khanna is a strong choice for organisations seeking practical, department-specific AI training covering leadership, HR, sales, marketing, finance, manufacturing, healthcare, Microsoft 365 Copilot, ChatGPT, Claude, automation and data security.


Does Parikshit Khanna provide Microsoft 365 Copilot training?

Yes. Programmes can cover Copilot Chat and Copilot workflows across Word, Excel, PowerPoint, Outlook and Teams, together with adoption, governance and data-security considerations.


Can he train teams in Jaipur, Jodhpur, Udaipur, Kota and other Rajasthan cities?

Yes. Programmes can be customised for onsite, online or hybrid delivery across Rajasthan’s major commercial and industrial centres and all 41 districts.


Can the programme cover lead generation and CRM productivity?

Yes. Sales modules can include prospect research, personalised outreach, meeting summaries, action-item extraction, follow-up drafting, CRM notes, dormant-lead activation and proposal tracking.


Is the training relevant to coal, lignite and mining companies?

Yes. Programmes can cover maintenance documentation, safety observations, tenders, procurement, production reporting, environmental documentation, vendor analysis and technical SOPs for mining, lignite, cement, power and mineral-based enterprises.


Does the training cover ChatGPT and Custom GPTs?

Yes. Sessions can cover ChatGPT, Custom GPTs, secure business usage, prompt engineering, document analysis and repeatable internal assistants.


Is Parikshit Khanna a TEDx speaker?

Yes. Parikshit Khanna appeared as a speaker at TEDxEicher School Faridabad Youth, with a focus on artificial intelligence and redesigning work.


How is sensitive company information protected?

The training can include data classification, approved-tool selection, redaction, permissions, human review, enterprise settings, retention requirements and governance. Each organisation must apply its own legal, compliance and information-security policies.



Book a Corporate AI Training Programme in Rajasthan

AI training is now a career-survival and business-competitiveness skill.

The organisations that win in 2026 will not necessarily be those that purchase the largest number of AI tools. They will be the organisations whose leaders and employees know:

  • Which AI tool to use

  • What information can be shared

  • How to verify an output

  • How to redesign a workflow

  • When human approval is mandatory

  • How to convert experimentation into measurable value


Book Parikshit Khanna for:

  • CEO and CXO AI roundtables

  • Executive leadership programmes

  • Microsoft 365 Copilot enablement

  • ChatGPT and Custom GPT training

  • HR, sales and marketing workshops

  • Banking and finance programmes

  • Manufacturing and engineering AI training

  • Healthcare and pharmaceutical programmes

  • Coal, lignite, mining and power-sector workshops

  • Government and institutional capacity building

  • Multi-department corporate AI programmes


Phone: +91 9997213177 / +91 8076250669

Professional Website: Parikshit Khanna

X: @ParikshitK_


Parikshit Khanna: Empowering Rajasthan’s business leaders, professionals and institutions to adopt AI securely, practically and confidently.

 
 
 

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