Corporate AI Training in Gurgaon and Delhi NCR

Corporate AI Training in Gurgaon, Delhi NCR & India: 1 to 7 Day Enterprise AI Masterclass by Parikshit Khanna

Practical Generative AI, Microsoft Copilot, Claude, ChatGPT, Gemini, Prompt Engineering, Agentic AI, n8n, RAG, Vibe Coding and Responsible AI training for CEOs, CXOs and corporate teams.

Artificial Intelligence is becoming a core workplace capability across Leadership, HR, Sales, Marketing, Finance, Operations, Procurement, Customer Service, Legal, Administration, Technology and Learning & Development.

Giving employees access to an AI platform does not automatically create meaningful AI adoption. Organisations need structured training, approved use cases, reusable prompts, responsible-use policies, guided implementation and measurable workflows. Without these foundations, teams can use AI inconsistently, expose information unnecessarily or produce outputs that are never translated into business value.

Parikshit Khanna, Founder and Lead Trainer at Digital Training Jet, designs customised corporate AI programmes ranging from one-day executive masterclasses to seven-day enterprise transformation programmes. His training model combines business productivity with Prompt Engineering, multi-model AI, Microsoft Copilot, Claude, workflow automation, RAG, Vibe Coding, AI Agents and governance.

Parikshit is also a TEDx Speaker. TED's official TEDx profile describes him as one of India's leading AI trainers and references experience associated with Tata Group, LG Electronics, VISA, Siemens, IIT Delhi, IIT Roorkee and IIM Bangalore. (TED)

Corporate AI Training at a Glance	Details
Lead Trainer	Parikshit Khanna
Organisation	Digital Training Jet
Specialist Network	League of AI Trainers, where specialist modules are required
Programme Duration	1 Day, 2 Days, 3 Days, 5 Days, 7 Days or customised modular programmes
Delivery	Onsite, live online and hybrid
Primary Locations	Gurgaon, Gurugram, Delhi, Noida, Greater Noida, Ghaziabad, Faridabad and Delhi NCR
Pan-India Delivery	Available subject to schedule, travel and programme scope
Audience	CEOs, CXOs, VPs, Directors, Managers, Functional Teams, Technical Teams and Non-Technical Employees
Core AI Platforms	ChatGPT, Claude, Gemini and Microsoft Copilot
Research Tools	Perplexity, NotebookLM / Gemini Notebook
Creative AI	Canva AI, Adobe Firefly, Microsoft Designer, Gamma, Napkin AI
Automation	n8n, Make and Zapier
Advanced AI	RAG, AI Agents, Agentic AI, Custom GPTs, Gems and workflow orchestration
Technical / Build Modules	Claude Code, APIs, Vibe Coding and AI-assisted application prototyping
Training Approach	Practical demonstrations, department-specific exercises, live workflows, prompt libraries, implementation planning and responsible AI
Current Published Reach	3 lakh+ professionals and learners across current professional materials
Public Practitioner Profile	Masters' Union currently lists Parikshit as Founder & AI Corporate Trainer, DigitalTrainingJet, and notes 300+ trainings delivered on its faculty page. (Masters Union)

Why Organisations Need Structured AI Adaptability Training	Typical Challenge
Tool Confusion	Employees do not know whether ChatGPT, Claude, Gemini or Copilot is best for a particular task
Weak Prompting	Employees use vague instructions and receive generic outputs
Confidentiality Risk	Sensitive organisational information may be entered into inappropriate systems
Hallucinations	Fluent AI responses may be accepted without verification
Low Adoption	Employees attend an AI session but return to their old workflows
Tool Proliferation	Teams subscribe to many tools without clear use-case ownership
Automation Risk	Processes are automated before exceptions and human approvals are defined
Measurement Gap	Management cannot explain whether AI reduced time, rework or cycle time
Governance Gap	Different departments develop inconsistent AI practices
Skill Gap	Technical and business teams struggle to design AI workflows together

The Enterprise AI Adoption Framework

Business Problem → Approved Information → Right AI Tool → Structured Prompt → AI Output → Verification → Human Approval → Repeatable Workflow → Measurement

The objective is not to replace employees. The objective is to help employees reduce repetitive work, improve analysis and communication, and spend more time on higher-value responsibilities.

Major Corporate AI Training Areas	What Participants Learn
Generative AI Foundations	LLMs, AI assistants, copilots, limitations, hallucinations and opportunity selection
Prompt Engineering	Role, context, task, format, constraints, examples and review criteria
ChatGPT for Business	Research, reports, analysis, communication, files and workplace productivity
Claude Enterprise	Projects, Artifacts, document analysis, Cowork, Skills and structured knowledge work
Gemini	Multimodal research, Google Workspace-related productivity and Gems
Microsoft Copilot	Word, Excel, PowerPoint, Outlook, Teams and enterprise workflows
Gemini Notebook / NotebookLM	Source-grounded research, learning and knowledge management
Perplexity	Source-assisted research and market discovery
Power BI + AI	Management analytics and reporting concepts
AI Graphics	Canva AI, Firefly, Designer, presentations and business visualisation
AI Video & Audio	Approved AI-assisted video, voice and training-media workflows
Vibe Coding	Rapid websites, calculators, dashboards, forms and internal prototypes
RAG	Organisational knowledge assistants based on approved information
n8n	Multi-step workflow automation
Make / Zapier	Business-app automation
AI Agents	Goal-driven workflows with tools and memory
Agentic AI	Multi-stage AI execution with controls and approval points
Responsible AI	Data classification, privacy, verification, governance and human accountability

Module 1: Generative AI Foundations & Organisational Adaptability	Course Content
AI Fundamentals	Generative AI, LLMs and business implications
Assistants vs Agents	Difference between chatbots, copilots, automation and AI agents
Opportunity Mapping	Identify high-value, manageable-risk workflows
Hallucinations	Understand why AI can create plausible but incorrect output
Human Oversight	Determine which tasks require professional review
Task Classification	Immediate AI tasks, reviewed tasks, protected-enterprise tasks and prohibited public-tool tasks
AI Culture	Build responsible employee confidence and adoption

Module 2: Advanced Prompt Engineering	Course Content
Prompt Structure	Role + Context + Task + Constraints + Format
Examples	Zero-shot and example-guided prompting
Iteration	Improve weak AI responses systematically
Department Templates	Reusable prompts for recurring work
Decision Support	Comparison, analysis and management questions
Clarification	Teach AI to request missing information
Output Control	Tone, length, format and target audience
Verification	Require evidence, uncertainty and human review

Parikshit Khanna's Recommended Enterprise Prompt Framework

Role + Task + Approved Context + Constraints + Output Format + Evidence + Uncertainty + Human Review

Example Enterprise Prompt

Role: Act as a senior management analyst.

Task: Analyse the authorised monthly performance report.

Context: The output will support the leadership review.

Constraints: Do not invent causes, figures or customer information unsupported by the source.

Output: Return a table containing finding, evidence, implication, unresolved question and recommended next action.

Evidence: Reference the supplied source for every material conclusion.

Uncertainty: Clearly separate facts from assumptions.

Human Review: Finish with an Items Requiring Human Review section.

Module 3: Claude AI for Documents & Knowledge Work	Course Content
Claude Foundations	Understand the Claude ecosystem
Projects	Build reusable contextual workspaces
Artifacts	Create structured working deliverables
Long Documents	Analyse reports, policies and research
Comparison	Compare multiple documents
Executive Summaries	Convert complex information into management briefs
SOPs	Build structured documentation
Cowork	Introduce delegated multi-step professional work where relevant
Claude Code	Technical foundation for developer audiences
Human Review	Validate output before business use

Module 4: Generative AI Tools for Text, Research, Graphics & Productivity	Potential Tool Stack
ChatGPT	Research, writing and analysis
Claude	Documents and complex knowledge work
Gemini	Multimodal work
Microsoft Copilot	Microsoft 365 productivity
Perplexity	Source-supported research
Gemini Notebook / NotebookLM	Source-grounded research
Canva AI	Business visuals
Adobe Firefly	Creative-generation workflows
Microsoft Designer	Business graphics
Gamma	Presentations
Napkin AI	Visual explanations
ElevenLabs	Voice workflows
Descript	Audio / video productivity
n8n	Workflow automation
Approved Enterprise Tools	Based on client licences, policies and requirements

Module 5: Microsoft Copilot Enterprise Training	Course Content
Word	Documents, proposals, reports and SOPs
Excel	Analysis, formulas, summaries and commentary
PowerPoint	Executive and client presentations
Outlook	Thread summaries, drafting and follow-up
Teams	Meetings, decisions and action extraction
Enterprise Search	Knowledge discovery where enabled
Agents	Copilot agents and Copilot Studio concepts
Permissions	Understand access and organisational data boundaries
Department Workflows	Function-specific Copilot use cases

Module 6: AI for Reports, Documents & Communication	Typical Outputs
Business Proposals	Structured first drafts
SOPs	Process documentation
Policies	Drafts and summaries
Training Manuals	Learning resources
Meeting Minutes	Decisions and actions
Project Reports	Structured reporting
Executive Summaries	Leadership communication
Research Briefs	Decision-ready synthesis
Sales Proposals	Customer-facing drafts
Job Descriptions	HR productivity
Knowledge Articles	Internal FAQs and support material
Emails	Professional communication
Compliance Checklists	Controlled first drafts

Module 7: AI Graphics & Visual Communication	Course Content
Presentation Graphics	Executive and client visuals
Infographics	Explain complex information
Process Diagrams	Workflow communication
Training Visuals	L&D assets
Social Media	Approved creative production
Recruitment Creatives	HR campaigns
Product Concepts	Visual ideation
Brand Governance	Maintain style and factual review
Copyright Awareness	Responsible use of generated content

Module 8: Vibe Coding for Business Teams	Course Content
AI-Assisted Coding	Translate natural language into prototypes
Specification	Convert business requirements into build instructions
Landing Pages	Build rapid prototypes
Forms / Calculators	Create internal productivity tools
Dashboards	Prototype management interfaces
HTML / CSS / JavaScript	Understand generated web code
Testing	Review and debug AI-generated code
Security	Recognise limitations and risks
Developer Escalation	Know when professional engineering is required

Module 9: Retrieval-Augmented Generation, RAG	Course Content
RAG Fundamentals	Understand retrieval versus model training
Document Preparation	Documents, chunks and metadata
Embeddings	Conceptual introduction
Vector Databases	Knowledge retrieval concepts
Internal Assistants	Build knowledge-assistant ideas
Traceability	Improve source-grounded responses
Permissions	Restrict access appropriately
Evaluation	Test retrieval quality
Proof of Concept	Plan a controlled internal RAG pilot

Module 10: n8n Workflow Automation	Course Content
Triggers	Understand how workflows start
Nodes	Build connected automation logic
Integrations	Forms, email, spreadsheets, databases and APIs
Conditional Logic	Route work based on rules
AI Models	Integrate AI into workflows
Notifications	Automate follow-up
Approval Gates	Keep humans in the loop
Error Handling	Monitor failed executions
Credentials	Understand access-security basics
Prototype	Build a business-specific workflow

Example n8n Workflow

New Lead → Validate Data → AI Summarises Requirement → CRM Updated → Follow-Up Drafted → Employee Reviews → Approved Message Sent → Activity Logged

Module 11: Agentic AI for Enterprises	Course Content
AI Agents	What agents are
Assistants vs Agents	Understand autonomy levels
Goals	Define desired outcomes
Tools	Connect approved applications
Memory	Use context carefully
Single / Multi-Agent	Introduce agent architectures
Human Approval	Define checkpoints
Guardrails	Prevent uncontrolled action
Monitoring	Evaluate agent behaviour
Enterprise Pilot	Plan a controlled agent implementation

Safe Agentic AI Architecture

Trigger → Approved Context → AI Processing → Business Rules → Verification → Human Approval → Action → Logging → Monitoring

Module 12: Responsible AI, Privacy & Governance	Course Content
Data Classification	Public, internal, confidential and restricted
Personal Data	Protect employee and customer information
Intellectual Property	Safeguard internal knowledge
Hallucinations	Verify factual claims
Bias	Identify potentially unfair output
Human Accountability	Keep owners responsible
Approval Workflows	Define decision authority
AI Policies	Create department-level rules
Vendor Review	Evaluate enterprise tools
Incident Reporting	Build escalation practices
Responsible-AI Checklist	Create an internal guide

Department-Specific AI Training	Selected Use Cases
Leadership / CXO	AI strategy, opportunity mapping, governance, ROI, vendor evaluation and transformation roadmap
HR / L&D	JDs, recruitment support, onboarding, employee communication, policies and learning content
Sales	Account research, personalised outreach, proposals, follow-up, CRM notes and objection handling
Marketing	Market research, personas, campaigns, SEO, ad copy, social media and reporting
Finance / FP&A	MIS, spreadsheet assistance, commentary, reporting, scenario planning and presentations
Operations	SOPs, checklists, reporting, root-cause support and workflow automation
Procurement	Vendor comparisons, RFQs, negotiation preparation and supplier-risk summaries
Customer Service	Response drafting, knowledge workflows and escalation frameworks
Legal / Compliance	Document comparison, obligation extraction and professional-review workflows
IT / Engineering	Claude Code, APIs, RAG, Vibe Coding, agents and automation
Administration	Circulars, meeting notes, communication, trackers and documentation
Healthcare	Administrative and research-support workflows with qualified review
Education	Research, curriculum, assessments, learning content and faculty productivity
Real Estate	Lead communication, project summaries, market research and sales support
Travel / Tourism	Itineraries, customer communication, research and marketing
Manufacturing	Documentation, SOPs, maintenance summaries, reporting and knowledge workflows

Publicly Listed Corporate, Institutional & Sector Engagements	Portfolio References
Healthcare & Pharmaceuticals	CARE Hospitals Hyderabad, IAP-CMIC Indian Academy of Pediatrics, Hetero Pharma, Sudeep Pharma / Sudeep Group, Naprod Life Sciences, USV Pharma, Wockhardt, Fortis, Santevita Hospital, Cloud 9, Surat Medical Consultants' Association, Surat Medical Association, IMA Janakpuri and IIT Delhi healthcare workshops
Finance, VC, Wealth & BFSI	Kae Capital, AILifeBot / Tata Mutual Fund, AON Consulting, Decyphr, Chinmay Finlease and Sudeep Group
Manufacturing, Engineering & Energy	Tata Power, Bonfiglioli Transmission India, TSPL / Vedanta, Sangam Group, Nagarjun Textiles, Vega Industries, Phoenix Contact India, Anubhav Apparels, CIPL, Tinna Rubber and Infrastructure, Polycab, Wahluft / Lucrative Impex and METRO Global Solution Center
Sales, Marketing, Retail & Real Estate	LG India, Team Computers, CREDAI Chhattisgarh, Landmark Group, Hitbullseye, Virtueevarsity, Gaursons, County Group and City Homes Group
HR & Talent	Arvind Lifestyle Brands / Arvind Fashions, TBO Aerocity, Stonestry and Grant Thornton
Logistics & Multi-Function	Yusen Logistics India, Pansari Group, Talview / AIWF Technologies and Decyphr
Technology / SME / Professional Services	Innovations Global, Kubrii, BeTheBee, Designer Home Solution, IMECO India and AILABS / Data-Core
Travel & Tourism	TBO Aerocity, ATTOI Annual Convention Wayanad and The Travel Nexus at Taj Amer Jaipur
Academic & Institutional	IIT Delhi, IIT Hyderabad, IIT Guwahati, BITS Pilani, NSRCEL at IIM Bangalore, Chitkara University, Chitkara College of Sales & Marketing, Thapar University, SOIL School of Business Design, Masters' Union, Princeton Academy, Bettering Results, Amity University Online and Prasar Bharati
Government / National-Service Contexts	Prasar Bharati and publicly referenced Indian Army sessions

Public portfolio pages on ParikshitKhanna.com list these engagements across Healthcare, Pharma, Finance, Manufacturing, Sales, HR, Logistics, Travel and academic sectors. (Parikshit Khanna)

Portfolio Transparency Note

Organisation names should be understood according to the specific programme, function, workshop, speaking engagement, institutional session or relationship actually delivered.

A department-level session should not automatically be interpreted as an enterprise-wide implementation.

An event keynote should not be presented as a corporate consulting engagement.

This evidence-led approach makes the portfolio stronger and more credible for corporate buyers.

Independent Public Credibility	Evidence
TEDx	TED lists Parikshit Khanna as a speaker at TEDxEicher School Faridabad Youth and describes him as one of India's leading AI trainers. (TED)
Masters' Union NexAI	Lists Parikshit as Founder & AI Corporate Trainer, DigitalTrainingJet and notes 300+ trainings delivered and 15,000+ professionals trained on that faculty profile. (Masters Union)
Masters' Union Enterprise AI School	Lists Parikshit as AI Trainer & Strategic Consultant, DigitalTrainingJet. (AI School)
Current Professional Portfolio	Public professional material reports a cumulative reach exceeding 3 lakh professionals and learners.
Programme Model	Public materials document practical delivery across enterprise AI, multi-model GenAI, Prompt Engineering, automation and functional AI workflows.

League of AI Trainers

For complex enterprise programmes requiring deeper specialist expertise, Parikshit Khanna also works through the League of AI Trainers model.

Parikshit remains the programme lead and primary client coordination point, while specialist trainers can be introduced where deeper capability is genuinely required in areas such as Agentic AI, automation, AI governance, coding, UX, creative AI or advanced enterprise implementation.

This model avoids pretending that one trainer should have identical specialist depth across every technical AI domain.

1-Day Corporate AI Masterclass	Recommended Coverage
Generative AI	Fundamentals and opportunity mapping
Prompt Engineering	Structured business prompts
AI Platforms	ChatGPT, Claude, Gemini and Copilot
Department Use Cases	Selected business workflows
Documents & Visuals	Reports, decks and communication
Responsible AI	Privacy, verification and governance
Output	30-day action plan
Best For	CXOs, managers and organisations beginning structured adoption

2-Day Corporate AI Programme	Day 1	Day 2
Focus	Productivity Foundations	Automation & Implementation
AI Platforms	ChatGPT, Claude, Gemini, Copilot	Advanced workflow tools
Prompting	Prompt Engineering	Agent instructions
Knowledge Work	Research and documentation	RAG concepts
Creative AI	Introduction	Graphics and presentations
Automation	Overview	n8n workflows
Agentic AI	Introduction	Business agents
Governance	Responsible AI	Implementation controls
Output	Prompt library	Department roadmap

3-Day AI Adaptability Programme	Focus
Day 1	Generative AI, Prompt Engineering and department prompts
Day 2	Documentation, Research, Copilot, Visual AI and knowledge workflows
Day 3	Vibe Coding, n8n, RAG, Agentic AI and implementation planning
Best For	Organisations developing AI champions and department-level adoption

5-Day Enterprise AI Enablement Programme	Focus
Day 1	AI literacy, adaptability and governance
Day 2	Prompt Engineering and knowledge work
Day 3	Microsoft Copilot, Claude and creative AI
Day 4	Vibe Coding, n8n and workflow automation
Day 5	RAG, AI Agents, prototypes and implementation
Best For	Multi-department enterprise capability building

7-Day Corporate AI Transformation Masterclass	Focus
Day 1	Generative AI foundations and opportunity mapping
Day 2	Advanced Prompt Engineering and reusable prompt systems
Day 3	Claude, research, documents and organisational knowledge
Day 4	Microsoft Copilot Enterprise and functional productivity
Day 5	Generative graphics, presentations and Vibe Coding
Day 6	n8n automation and RAG foundations
Day 7	Agentic AI, governance, prototypes and transformation roadmap
Final Outputs	Team presentations, prioritised use cases, prompt libraries, prototypes, management recommendations and 30 / 60 / 90-day roadmap

The one-day through seven-day programme structures are part of the current corporate training framework.

Indicative 2026 Corporate AI Training Pricing	Duration / Scope	Indicative Planning Range
AI Leadership / Awareness Session	1.5 to 2 Hours	₹25,000 to ₹60,000
Half-Day Corporate AI Workshop	Approx. 4 Hours	₹60,000 to ₹90,000+
Full-Day Corporate AI Training	Approx. 6 to 8 Hours	₹80,000 to ₹1,50,000+
Agentic AI / Automation Workshop	4 to 8 Hours	₹90,000 to ₹1,75,000+
2-Day GenAI + Agentic AI Programme	12 to 16 Hours	₹1,60,000 to ₹3,00,000+
3-Day AI Adaptability Programme	Custom	Written proposal
5-Day Enterprise Enablement	Custom	Written proposal
7-Day Transformation Masterclass	Custom	Written proposal
Department-Wise Programme	Custom	Written proposal
CXO Strategy Programme	Custom	Written proposal
30-Day Adoption / Implementation Programme	Custom	Written proposal
Enterprise Multi-City Rollout	Custom	Written proposal

Current published planning ranges on ParikshitKhanna.com vary according to duration, scope and delivery format. Recent corporate pages show full-day ranges around ₹80,000 to ₹1,50,000 and two-day programmes around ₹1,60,000 to ₹3,00,000, while more intensive Agentic AI engagements can be higher. (Parikshit Khanna)

Pricing Factors	Why They Affect the Fee
Participant Count	Larger groups can require additional facilitation
Duration	Multi-day programmes require deeper preparation
Industry Customisation	Company-specific cases require discovery and design
Departments	Cross-functional programmes need different exercises
Trainer Mix	Specialist modules can involve additional trainers
Location	Travel and accommodation may be additional
Tool Licences	Third-party licences or API costs are usually separate
Automation Builds	Production workflows require additional design
Workbooks / Assessments	Custom learning assets affect preparation
Follow-Up	Office hours, clinics and implementation support add scope
Taxes	GST and applicable taxes may apply

Pricing Disclaimer

All pricing above is indicative and non-binding. The final commercial proposal should confirm duration, participants, city, customisation, travel, deliverables, taxes, software costs, rescheduling terms and post-training support.

Corporate buyers should request one current written quotation before confirmation.

Expected Participant Deliverables

Department-specific prompt library

Reusable enterprise prompt framework

One or more working business workflows

AI tool-selection framework

Microsoft Copilot use cases where relevant

Claude Project or structured document workflow where relevant

n8n automation prototype in advanced programmes

RAG / knowledge-assistant concept

Agentic AI workflow map

Responsible-AI checklist

Human-review framework

30-day implementation plan

Department owner and success metric

How Training Success Should Be Measured	Possible Metric
Adoption	Employees using approved workflows
Prompt Quality	Improvement in structured prompting
Time Saved	Before vs after task time
Cycle Time	Faster workflow completion
Quality	Manager review of outputs
Rework	Corrections required before approval
Workflow Reuse	Validated processes used repeatedly
Automation	Appropriate processes automated
Employee Confidence	Pre / post assessment
Governance	Compliance with approved AI policy
Business Result	Productivity, service, cost or commercial outcome where reasonably attributable

Onsite Corporate AI Training in Delhi NCR	Major Training Areas
Gurgaon / Gurugram	Cyber City, Cyber Hub, Udyog Vihar, Golf Course Road, Golf Course Extension Road, Sohna Road
Manesar	Manufacturing, Operations, HR, Quality and industrial teams
Delhi	Aerocity, Connaught Place, Nehru Place, Okhla, Jasola, Saket and other corporate areas
Noida	Sector 16, 18, 62, 63, 125, 126, 132, 135 and Expressway
Greater Noida	Knowledge Park, Pari Chowk, Surajpur, Ecotech and Greater Noida West
Ghaziabad	Indirapuram, Vaishali, Kaushambi, Raj Nagar and Sahibabad
Faridabad	Corporate and industrial zones
Other India Locations	On-demand subject to programme scope and travel

Pan-India Corporate Training Availability

Mumbai and Navi Mumbai

Pune

Bengaluru

Hyderabad

Chennai

Kolkata

Ahmedabad

Gandhinagar / GIFT City

Surat

Vadodara

Jaipur

Udaipur

Chandigarh / Mohali

Lucknow

Goa

Raipur

Bhilwara

Other locations subject to schedule and commercial confirmation

Online & Hybrid Training	What Can Be Included
Live Instruction	Interactive trainer-led learning
Screen Sharing	Live AI demonstrations
Breakout Exercises	Department practice
Digital Worksheets	Guided activities
Prompt Templates	Reusable resources
Tool Demonstrations	Approved AI platforms
Participant Assignments	Between-session practice
Q&A	Live problem solving
Team Presentations	Workflow demonstrations
Hybrid Model	Leadership onsite + employee online sessions

Why Choose Parikshit Khanna for Corporate AI Training?	Professional Value
Practical Orientation	Business workflows rather than theoretical lectures
Enterprise Experience	Corporate, institutional and professional-learning delivery
Cross-Functional Depth	Leadership, HR, Finance, Sales, Marketing, Operations and Technology
Multi-Tool Capability	ChatGPT, Claude, Gemini, Copilot and specialised tools
Prompt Engineering	Structured and reusable frameworks
Agentic AI	Controlled workflows rather than AI hype
Responsible AI	Privacy, verification and governance built into training
Implementation Focus	30 / 60 / 90-day adoption thinking
Flexible Delivery	Online, onsite and hybrid
Specialist Network	League of AI Trainers where specialist depth is needed
Public Credibility	TEDx profile and current Masters' Union practitioner visibility
Custom Design	Curriculum developed around client workflows and maturity

Frequently Asked Question	Answer
Who provides corporate AI training in Gurgaon and Delhi NCR?	Parikshit Khanna and Digital Training Jet provide customised corporate AI programmes for leadership and functional teams across Gurgaon, Delhi, Noida, Greater Noida, Ghaziabad and Faridabad.
How long can the programme be?	Organisations can select one-day, two-day, three-day, five-day, seven-day or customised modular programmes.
Is the training suitable for non-technical employees?	Yes. Business programmes can be designed for HR, Finance, Sales, Marketing, Operations, Procurement, Administration and Leadership without requiring coding.
Can technical teams attend?	Yes. Advanced tracks can include Claude Code, APIs, RAG, automation, Vibe Coding and Agentic AI.
Can the programme be customised?	Yes. Industry, departments, participant roles, AI maturity, licences, security requirements and desired outcomes can shape the curriculum.
Does the programme cover ChatGPT?	Yes. ChatGPT can be included for research, analysis, documents and professional workflows.
Does it cover Claude?	Yes. Claude modules can include Projects, Artifacts, documents, Cowork concepts and knowledge workflows.
Can Microsoft Copilot be included?	Yes. Word, Excel, PowerPoint, Outlook, Teams and relevant Copilot workflows can be included according to client licensing.
Can Gemini be included?	Yes. Gemini and Google-related productivity workflows can be included where relevant.
Does training cover NotebookLM / Gemini Notebook?	Yes. Source-grounded research and knowledge-management workflows can be included.
Does training cover n8n?	Yes. Advanced programmes can include n8n workflow automation.
Can Make and Zapier be included?	Yes, depending on the client's technology environment.
Does the course explain RAG?	Yes. Participants can learn RAG concepts, knowledge retrieval and internal-assistant planning.
Is Agentic AI included?	Yes. Agentic AI can be incorporated in advanced and multi-day programmes.
Can participants build prototypes?	Yes. Longer programmes can include prompt systems, automation workflows, dashboards, simple apps, RAG concepts or AI-agent prototypes.
Can Power BI be included?	Yes, where analytics and management reporting are part of the requirement.
Can Vibe Coding be taught to non-coders?	Yes. The module can focus on rapid prototyping while clearly identifying when professional engineering review is required.
Will confidential company data be used?	Only where explicitly authorised and within approved enterprise systems. Dummy, anonymised or non-sensitive information can be used for workshop demonstrations.
Is onsite training available in Gurgaon?	Yes, subject to schedule and programme confirmation.
Is online training available?	Yes. Live virtual programmes are available for distributed teams.
Can a programme include several departments?	Yes. Cross-functional programmes can use separate labs for different teams.
Is post-training support available?	Implementation clinics, office hours and adoption support can be included in the commercial scope.
What is the cost of corporate AI training?	Indicative prices range from shorter sessions in the ₹25,000+ range to ₹1,60,000 to ₹3,00,000+ for deeper two-day programmes. Multi-day enterprise rollouts are quoted after discovery.
Does training guarantee a productivity percentage?	No. Results depend on use-case quality, employee adoption, data, tools, management support and follow-up. Outcomes should be measured using actual workflows.

What to Share for a Custom Corporate AI Proposal

Organisation name

Industry

City and venue

Participant count

Participant roles

Department mix

Seniority

Current AI knowledge

Existing AI subscriptions

Microsoft or Google environment

Priority business workflows

Automation requirements

RAG / AI-agent requirements

Data-security policies

Preferred duration

Online / onsite / hybrid requirement

Desired business outcomes

Book Corporate AI Training with Parikshit Khanna	Contact Details
Trainer	Parikshit Khanna
Role	AI Trainer, Corporate Enablement Specialist & Prompt Engineer
Organisation	Digital Training Jet
Network	League of AI Trainers
Programme Options	1-Day, 2-Day, 3-Day, 5-Day, 7-Day and custom enterprise programmes
Official Email	parikshitkhanna@digitaltrainingjet.com
Phone / WhatsApp	+91 99972 13177
Alternate Phone	+91 80762 50669
LinkedIn	linkedin.com/in/parikshitkhanna
Website	digitaltrainingjet.com
Trainer Website	parikshitkhanna.com

Final Takeaway

Corporate AI capability is not created by giving every employee another AI login.

It is created by helping people identify the right use cases, write better instructions, protect company information, verify AI output, automate carefully and turn useful experiments into repeatable workflows.

Parikshit Khanna’s corporate AI programme is designed around that transition, combining Generative AI + Prompt Engineering + ChatGPT + Claude + Gemini + Microsoft Copilot + Visual AI + Vibe Coding + RAG + n8n + AI Agents + Governance according to the organisation’s actual requirements.

With practical training, cross-functional experience, a growing enterprise portfolio and specialist support through the League of AI Trainers, the programme can scale from an executive briefing to a seven-day enterprise enablement journey.

The goal is not to make employees dependent on AI. The goal is to build employees who know exactly where AI creates value, where it creates risk and how to keep human judgement in control.