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Corporate AI Training in Northeast India

Corporate AI Training in Northeast India: 1-Day to 7-Day Enterprise AI Masterclasses by Parikshit Khanna

Corporate AI Training in Northeast India
Corporate AI Training in Northeast India

Transform Your Organisation with Practical Generative AI, Claude, Microsoft Copilot, RAG, n8n, Vibe Coding and Agentic AI Training

Artificial intelligence adoption is no longer limited to technology companies. Organisations in banking, manufacturing, healthcare, education, government, consulting, media, retail, real estate and professional services are now using AI to improve productivity, documentation, research, communication, automation and decision-making.

However, purchasing AI tools is not the same as achieving successful AI adoption.


Employees need structured training, role-specific use cases, responsible-use policies and supervised hands-on practice. Organisations also need clarity about data security, hallucinations, intellectual property, human review and the appropriate use of public and enterprise AI platforms.


Parikshit Khanna, Founder of Digital Training Jet, conducts customised corporate AI training programmes for organisations across Northeast India. Programmes are available as one-day masterclasses, two-day workshops, three-day transformation programmes and extended courses lasting up to seven days.


Training can be delivered:

  • On-site at the organisation’s office

  • Live online

  • In a hybrid format

  • As a leadership masterclass

  • As a department-specific workshop

  • As a train-the-trainer programme

  • As a customised AI adoption bootcamp

  • On special dates based on organisational requirements


Book a Corporate AI Training Programme

Trainer: Parikshit KhannaOrganisation: Digital Training Jet

Phone and WhatsApp:+91 99972 13177+91 80762 50669

Instagram:@digitalparikshitkhanna


Corporate AI Training Across Northeast India

Customised on-site, online and hybrid AI training can be organised for companies, institutions, universities, government departments, associations and professional groups across:

  • Assam

  • Arunachal Pradesh

  • Meghalaya

  • Manipur

  • Mizoram

  • Nagaland

  • Tripura

  • Sikkim

Programmes can also be conducted in major business and institutional locations, including:

  • Guwahati

  • Dispur

  • Dibrugarh

  • Jorhat

  • Silchar

  • Tezpur

  • Shillong

  • Tura

  • Imphal

  • Aizawl

  • Kohima

  • Dimapur

  • Agartala

  • Gangtok

  • Itanagar

  • Naharlagun

Every programme is customised according to the participants’ departments, digital maturity, existing technology stack, business objectives and internal AI policies.


Why Organisations Need Structured AI Adaptability Training

Many employees already experiment with ChatGPT, Claude, Gemini, Copilot and other generative AI platforms. Without formal training, however, organisations may encounter several challenges:

  • Employees enter confidential information into public AI tools.

  • Teams receive inconsistent results because of weak prompts.

  • AI-generated documents are used without verification.

  • Departments purchase multiple overlapping tools.

  • Staff members do not understand copyright and data risks.

  • AI experimentation remains disconnected from business objectives.

  • Employees automate inefficient processes instead of redesigning them.

  • Leadership lacks a practical AI adoption roadmap.

  • Teams fear job displacement instead of learning AI-assisted working methods.

  • Organisations struggle to measure productivity improvement and return on investment.

The purpose of Parikshit Khanna’s corporate AI masterclass is to move teams from casual AI experimentation to structured, responsible and measurable organisational adoption.


Who Should Attend the Corporate AI Masterclass?

The programme can be customised for:

Leadership and Management

  • CEOs

  • Founders

  • Directors

  • CXOs

  • Vice Presidents

  • Department Heads

  • General Managers

  • Project Managers

  • Transformation Leaders

Business Functions

  • Human Resources

  • Learning and Development

  • Sales

  • Marketing

  • Customer Service

  • Finance and Accounts

  • Procurement

  • Administration

  • Operations

  • Research

  • Legal and Compliance

  • Corporate Communications

  • Business Development

Technical and Digital Teams

  • IT Teams

  • Software Developers

  • Product Teams

  • Data Analysts

  • Automation Teams

  • Cybersecurity Teams

  • Digital Transformation Teams

  • Knowledge Management Teams

Institutions and Public-Sector Organisations

  • Universities

  • Colleges

  • Research Institutions

  • Government Departments

  • Public-Sector Undertakings

  • Industry Associations

  • Incubation Centres

  • Entrepreneurship Cells

  • Professional Bodies


Corporate AI Training Duration: From One Day to Seven Days

Organisations can select a programme according to their objectives, available time and desired level of implementation.

One-Day Corporate AI Masterclass

Best For

  • Leadership awareness

  • Department introductions

  • AI adoption kick-off programmes

  • Annual meetings

  • Corporate learning days

  • Executive workshops

  • Faculty development programmes

Suggested Duration

Six to eight hours

Major Topics

  • Generative AI fundamentals

  • AI opportunities and organisational risks

  • Claude, ChatGPT, Gemini and Microsoft Copilot

  • Prompt-engineering foundations

  • AI for documents, reports and presentations

  • AI for graphics and visual communication

  • Responsible AI and data security

  • Department-specific demonstrations

  • Organisational AI adoption roadmap


Expected Outcome

Participants understand the capabilities, limitations and responsible application of generative AI in their roles.

Two-Day Corporate Generative AI Workshop

Day One: AI Productivity and Content Workflows

  • Understanding generative AI and large language models

  • Prompt-engineering frameworks

  • Claude for long documents and structured reasoning

  • ChatGPT for research, analysis and communication

  • Microsoft Copilot for enterprise productivity

  • AI-assisted Word, Excel, PowerPoint and email workflows

  • AI for reports, SOPs, policies and proposals

  • AI for graphics and presentations

  • Verification and human-review techniques

Day Two: Automation and Departmental Implementation

  • Workflow mapping

  • n8n automation fundamentals

  • Introduction to AI agents

  • Vibe coding for non-technical and technical teams

  • RAG model fundamentals

  • Knowledge-base development

  • Department-specific workflows

  • Responsible AI controls

  • Team implementation exercise

  • Ninety-day adoption roadmap


Expected Outcome

Each team identifies practical AI use cases and develops preliminary workflows for implementation.

Three-Day Corporate AI Adaptability Programme

The three-day programme is recommended for organisations seeking deeper learning, supervised practice and departmental use-case development.

Day One: Generative AI Foundations and Prompt Engineering

  • What generative AI can and cannot do

  • Understanding large language models

  • Prompt anatomy

  • Role, context, task, constraints and output formatting

  • Zero-shot and few-shot prompting

  • Prompt iteration

  • Hallucination detection

  • Source verification

  • Responsible use of AI

  • Secure AI working practices

  • Hands-on prompt laboratory

Day Two: Enterprise Productivity, Claude and Microsoft Copilot

  • Claude for document analysis

  • Claude Projects and knowledge workflows

  • Research, summarisation and reasoning

  • Policy and SOP development

  • Microsoft Copilot for enterprise productivity

  • Word document drafting

  • Excel analysis and formula assistance

  • PowerPoint development

  • Outlook and Teams productivity

  • AI for HR, finance, sales, marketing and operations

  • Visual-content creation

  • Department-specific practical assignments

Day Three: Automation, RAG, n8n, Vibe Coding and Agentic AI

  • Understanding workflow automation

  • n8n workflow design

  • Triggers, actions and integrations

  • Introduction to APIs and webhooks

  • Vibe coding fundamentals

  • Building simple internal applications

  • Understanding RAG architecture

  • Connecting organisational knowledge with AI

  • Agentic AI fundamentals

  • Single-agent and multi-agent workflows

  • Human approval checkpoints

  • AI governance and measurement

  • Final team presentations and adoption roadmap

Expected Outcome

The organisation receives a structured foundation for team-level AI implementation and future automation.


Extended Four-Day to Seven-Day Corporate AI Programme

Extended programmes are suitable for organisations seeking deeper technical implementation, multi-department adoption or a train-the-trainer model.

Day One: AI Literacy and Organisational Readiness

  • Generative AI fundamentals

  • Organisational opportunities

  • AI limitations and risks

  • Readiness assessment

  • Departmental use-case identification

  • Responsible AI principles

Day Two: Advanced Prompt Engineering

  • Prompt frameworks

  • Chain-based task decomposition

  • Structured outputs

  • Reusable prompt libraries

  • Evaluation rubrics

  • Hallucination reduction

  • Research and verification workflows

Day Three: Claude and Document Intelligence

  • Claude Projects

  • Long-document analysis

  • Knowledge synthesis

  • Policy comparison

  • Contract and proposal review

  • Report generation

  • Meeting-document workflows

  • Executive summaries

  • Organisational writing standards

Day Four: Microsoft Copilot Enterprise Training

  • Enterprise AI ecosystem

  • Microsoft 365 Copilot use cases

  • Word, Excel, PowerPoint, Outlook and Teams

  • Copilot Studio overview

  • Role-based Copilot adoption

  • Security and permissions awareness

  • Internal champion development

Day Five: RAG and Organisational Knowledge Systems

  • What is Retrieval-Augmented Generation?

  • Why organisations need RAG

  • Difference between prompting, fine-tuning and RAG

  • Document ingestion

  • Chunking and retrieval concepts

  • Vector-database overview

  • Knowledge-base design

  • Access control considerations

  • Citation-backed responses

  • RAG evaluation

  • Prototype planning

Day Six: n8n, Automation and Agentic AI

  • Workflow automation strategy

  • n8n interface and nodes

  • Triggers and scheduled workflows

  • AI model integrations

  • Email and document workflows

  • Approval systems

  • CRM and lead workflows

  • Agentic AI architecture

  • Human-in-the-loop controls

  • Monitoring and failure handling

Day Seven: Vibe Coding, Prototyping and Adoption Roadmap

  • Vibe coding principles

  • Converting ideas into working prototypes

  • Prompting coding assistants

  • Building simple dashboards and utilities

  • Debugging AI-generated code

  • Security and testing considerations

  • Team prototype presentations

  • Governance checklist

  • Implementation priorities

  • Thirty-day, sixty-day and ninety-day action plan


Claude AI Training for Corporate Teams

Claude can support teams working with detailed documents, complex instructions, long context and structured analysis.

The Claude training module can cover:

  • Claude interface and model selection

  • Claude Projects

  • Custom instructions

  • Document uploading and analysis

  • Long-document summarisation

  • Comparing multiple reports

  • Creating policies and SOPs

  • Proposal and tender support

  • Research synthesis

  • Structured report writing

  • Executive briefing notes

  • Content repurposing

  • Tables and structured outputs

  • Coding and troubleshooting

  • Artifacts and prototype development

  • Verification and human review

Participants learn how to use Claude as a productivity and reasoning assistant without treating its output as automatically accurate.


Microsoft Copilot Enterprise Training

Microsoft Copilot training can be designed for organisations already using Microsoft 365 or evaluating enterprise AI adoption.

Training Areas

  • Microsoft Copilot fundamentals

  • Copilot Chat

  • Microsoft Word

  • Microsoft Excel

  • Microsoft PowerPoint

  • Microsoft Outlook

  • Microsoft Teams

  • Meeting preparation and summaries

  • Document development

  • Presentation creation

  • Spreadsheet interpretation

  • Email productivity

  • Enterprise-search awareness

  • Copilot Studio introduction

  • Department-specific applications

  • Data-access and permission awareness

  • Responsible enterprise usage

The programme can be customised for leadership, HR, finance, sales, operations, IT and administration teams.


Fifteen Generative AI Tools Covered in the Masterclass

Tool selection is customised according to the organisation’s approved platforms, security requirements and participant roles.

The programme may include demonstrations and practical applications of:

  1. Claude – document analysis, reasoning, reports and structured writing

  2. ChatGPT – productivity, ideation, research and analysis

  3. Microsoft Copilot – enterprise productivity and Microsoft 365 workflows

  4. Google Gemini – multimodal research and Google Workspace assistance

  5. Perplexity – source-supported research and discovery

  6. NotebookLM – source-grounded learning and knowledge synthesis

  7. Canva AI – graphics, presentations and visual communication

  8. Adobe Firefly – enterprise-oriented generative graphics

  9. Gamma – AI-assisted presentations and documents

  10. Napkin AI – visual explanation and business diagrams

  11. n8n – workflow automation and AI integration

  12. GitHub Copilot – software-development assistance

  13. Cursor – AI-assisted coding and application development

  14. Lovable or Similar Vibe-Coding Platforms – rapid prototype development

  15. ElevenLabs or Similar Voice-AI Platforms – voice, narration and audio workflows

Additional tools may be included depending on organisational requirements, licensing availability and approved data-security policies.


AI for Text, Documentation and Knowledge Work

A major part of the programme focuses on improving high-volume documentation without compromising human accountability.

Practical Applications

  • Business emails

  • Proposals

  • Project reports

  • Meeting agendas

  • Minutes of meetings

  • Standard operating procedures

  • Policies

  • Training manuals

  • FAQs

  • Research summaries

  • Management presentations

  • Sales scripts

  • Marketing plans

  • Job descriptions

  • Performance-review templates

  • Customer-response templates

  • Internal knowledge articles

  • Tender summaries

  • Risk registers

  • Implementation plans

Participants are trained to review, edit and validate AI-generated content before organisational use.


Generative AI for Graphics and Visual Communication

The visual-AI module helps teams convert ideas, reports and data into professional communication assets.

Topics Can Include

  • Prompting for business graphics

  • Presentation design

  • Infographics

  • Process diagrams

  • Social-media creatives

  • Training visuals

  • Internal communication posters

  • Product mock-ups

  • Event creatives

  • Storyboards

  • Brand-consistent content

  • Image-editing workflows

  • Visual quality control

  • Copyright and responsible image generation

  • Creating accessible alt text


Vibe Coding Training for Corporate Teams

Vibe coding allows professionals to describe an application or workflow in natural language and use AI-assisted development tools to create a prototype.

Participants Can Learn To Build

  • Internal calculators

  • Simple dashboards

  • Lead-management utilities

  • Form-based applications

  • Knowledge-search tools

  • Training assistants

  • FAQ bots

  • Report generators

  • Data-entry interfaces

  • Content-planning tools

  • Customer-service prototypes

The training also addresses an important principle: AI-generated code must be tested, reviewed and secured before production use.


RAG Model Training

Retrieval-Augmented Generation, commonly called RAG, helps an AI system answer questions using selected organisational information rather than relying only on its general training.

RAG Training Topics

  • RAG fundamentals

  • Business use cases

  • Document preparation

  • Data ingestion

  • Chunking concepts

  • Embeddings

  • Vector databases

  • Retrieval methods

  • Prompt construction

  • Source citation

  • Permissions and access

  • Response evaluation

  • Hallucination reduction

  • Updating the knowledge base

  • Human-review processes

Potential Organisational Applications

  • Employee policy assistant

  • Product knowledge assistant

  • Customer-support knowledge base

  • HR information bot

  • Technical manual assistant

  • Compliance information assistant

  • Sales enablement assistant

  • Training-content assistant

  • Institutional research assistant


n8n Automation Training

n8n can help organisations connect applications, information and AI models through visual workflows.

Possible Training Workflows

  • Form submission to email notification

  • Lead capture and classification

  • CRM update workflows

  • Automated meeting preparation

  • Document summarisation

  • Customer-query routing

  • Scheduled report generation

  • Content-approval workflows

  • HR onboarding sequences

  • Internal notification systems

  • Knowledge-base updates

  • Human approval before an external action

The training emphasises workflow logic, testing, access controls, error handling and responsible automation.


Agentic AI Training

Agentic AI systems can plan and execute multi-step tasks using tools, data and defined rules. Organisations must understand both their potential and their risks.

Agentic AI Training Topics

  • Difference between chatbots, automations and AI agents

  • Agent planning

  • Tool usage

  • Memory

  • Task decomposition

  • Single-agent workflows

  • Multi-agent workflows

  • Human approval checkpoints

  • Access permissions

  • Logging and monitoring

  • Failure handling

  • Cost management

  • Evaluation

  • Responsible autonomy

  • Organisational governance

The objective is not to remove human accountability. It is to determine where controlled AI assistance can reduce repetitive work while maintaining supervision.


Department-Specific Corporate AI Training

AI Training for Human Resources

  • Job descriptions

  • Interview-question development

  • Competency frameworks

  • Employee communication

  • Onboarding content

  • Training plans

  • Survey analysis

  • Policy simplification

  • Learning-content creation

AI Training for Sales Teams

  • Account research

  • Lead qualification

  • Personalised outreach

  • Follow-up messages

  • Sales-call preparation

  • Proposal drafting

  • Objection-handling practice

  • CRM note improvement

  • Pipeline summaries

AI Training for Marketing Teams

  • Audience research

  • Campaign planning

  • Content calendars

  • SEO briefs

  • Social-media content

  • Advertising concepts

  • Landing-page drafts

  • Visual-content creation

  • Campaign analysis

AI Training for Finance Teams

  • Report summarisation

  • Variance explanations

  • Management commentary

  • Spreadsheet assistance

  • Financial-document review

  • Process documentation

  • Presentation support

AI outputs involving financial decisions must always be reviewed by qualified personnel.

AI Training for Operations and Administration

  • SOP development

  • Process mapping

  • Vendor comparison

  • Meeting documentation

  • Internal communication

  • Checklist development

  • Workflow automation

  • Report preparation

AI Training for IT and Development Teams

  • Code assistance

  • Documentation

  • Test-case generation

  • Debugging support

  • RAG architecture

  • Agent development

  • Automation

  • API workflows

  • Responsible code review

AI Training for Leadership

  • AI strategy

  • Adoption priorities

  • Investment decisions

  • Governance

  • Risk management

  • Workforce readiness

  • AI policy development

  • Productivity measurement

  • Change management


Responsible AI, Security and Governance

Every corporate AI programme should include responsible-use guidance.

Core Areas

  • Confidential data handling

  • Personally identifiable information

  • Intellectual property

  • Copyright

  • Hallucinations

  • Bias

  • Human review

  • Source verification

  • Access permissions

  • Shadow AI

  • Tool approval

  • Audit trails

  • Vendor evaluation

  • Data-retention awareness

  • AI-generated code review

  • Incident escalation

The trainer can support the organisation in developing a preliminary AI acceptable-use framework, but final policies should be reviewed by the organisation’s legal, compliance, cybersecurity and leadership teams.


Training Methodology

Parikshit Khanna’s corporate programmes are designed around active participation rather than theory-only presentations.

The Methodology Includes

  • Pre-training requirement discussion

  • Participant and department mapping

  • Role-specific demonstrations

  • Live prompt development

  • Guided exercises

  • Team activities

  • Organisational use-case discussions

  • Before-and-after workflow comparisons

  • Question-and-answer sessions

  • Practical assignments

  • Prompt-library development

  • Adoption-roadmap preparation

  • Post-training reference resources, where agreed

Participants are encouraged to work with safe sample data rather than confidential organisational information during public-tool demonstrations.


Deliverables That Can Be Included

Depending on the selected programme, the organisation may receive:

  • Customised training agenda

  • Participant workbook

  • Prompt-engineering templates

  • Department-specific prompt library

  • AI tools reference guide

  • Responsible AI checklist

  • Use-case prioritisation sheet

  • Workflow-mapping template

  • AI adoption roadmap

  • Participation certificates

  • Post-session resource document

  • Management summary

  • Recommended next steps

Deliverables should be finalised in the training proposal.


About Parikshit Khanna

Parikshit Khanna is an AI Trainer, Corporate Enablement Specialist, Prompt Engineer and Founder of Digital Training Jet, an MSME/Udyam-registered training organisation established in 2020.

His training domains include:

  • Generative AI

  • Claude

  • ChatGPT

  • Google Gemini

  • Microsoft Copilot

  • Prompt Engineering

  • Corporate AI Adoption

  • Agentic AI

  • n8n Automation

  • RAG Models

  • Vibe Coding

  • Canva AI

  • AI-Enabled Digital Marketing

  • AI for Business Productivity

  • AI for HR, Sales, Marketing and Operations

He delivers corporate workshops, executive masterclasses, institutional programmes, faculty-development sessions and customised professional training.


Selected Professional Achievements

Parikshit Khanna’s professional profile includes:

  • Founder of Digital Training Jet

  • MSME/Udyam-registered training entity

  • AI and Generative AI corporate trainer

  • Prompt-engineering and corporate enablement specialist

  • Nearly a decade of professional training and digital experience

  • More than 300 workshops referenced across his public professional profiles

  • Training and learning engagements involving corporate, academic, healthcare and government audiences

  • Visiting-faculty association with G.L. Bajaj Institute of Management and Research

  • AI and digital-training speaker at institutional and professional platforms

  • Training experience in Generative AI, Claude, Microsoft Copilot, automation and digital marketing

  • Author and co-author associated with professional-development publications

  • Public professional recognition through a Times Square, New York creator feature

  • Delivery of AI-related programmes for professionals, faculty members, students, doctors, managers and business leaders

  • Experience conducting online, on-site and hybrid training programmes


Selected Institutions, Universities and Educational Associations

Parikshit Khanna’s published professional material and training history reference sessions, workshops, invitations or associations involving institutions such as:

  • IIT Delhi

  • IIT Hyderabad

  • IIT Roorkee

  • IIT Guwahati

  • IIT Kanpur

  • IIT Bombay

  • G.L. Bajaj Institute of Management and Research

  • Delhi University institutions

  • FIIB, New Delhi

  • ITS Ghaziabad

  • IIMT University

  • Apeejay School of Management

  • NSRCEL, IIM Bangalore-associated learning ecosystem

  • Internshala

  • Saras AI Institute

  • Teerthanker Mahaveer University

  • IMS Ghaziabad

  • Educational institutions and business schools across India

The exact scope, format and contracting arrangement may differ across individual engagements.


Selected Corporate, Government, Healthcare and Professional Organisations

Published professional materials and historical training records reference workshops, programmes, client engagements or professional associations involving names such as:

  • Prasar Bharati

  • National Academy of Broadcasting and Multimedia

  • All India Radio

  • Doordarshan

  • RMSI

  • LG

  • Tata-associated audiences or programmes

  • Visa-associated audiences or programmes

  • Mastertrust

  • Gaursons

  • Team Computers

  • ZAFCO

  • Cloudnine Hospitals

  • CARE Hospitals

  • Indian Army-associated audiences

  • JITO

  • CREDAI

  • Surat Doctors Association

  • Bar & Bench

  • Bettering Results

  • EduRamp

  • Corporate, healthcare, manufacturing, media, technology and professional-service organisations

For website publication, only logos, testimonials and direct-client claims for which written permission or documentary evidence is available should be displayed.


Why Organisations Choose Parikshit Khanna

Practical, Business-Focused Training

The programme focuses on real work rather than generic AI demonstrations.

Customised Course Design

Content can be adapted for leadership, HR, sales, marketing, finance, operations, IT, education or mixed groups.

Flexible Duration

Organisations can select programmes lasting from one day to seven days.

Multiple Delivery Formats

Training is available on-site, online and in hybrid mode.

Broad AI Coverage

The programme combines generative AI, Claude, Microsoft Copilot, graphics, automation, n8n, RAG, vibe coding and agentic AI.

Responsible AI Integration

Security, privacy, human verification and governance are integrated into the course.

Organisational Adoption Focus

The final objective is to help employees apply AI responsibly after the training, not merely watch demonstrations.


Customised Corporate AI Training Packages

A proposal can be prepared after understanding:

  • Number of participants

  • Participant designations

  • Departments involved

  • Preferred training dates

  • City and venue

  • Online, on-site or hybrid preference

  • Current AI knowledge

  • Existing software ecosystem

  • Approved AI platforms

  • Desired business outcomes

  • Training duration

  • Need for certificates

  • Need for post-training support

  • Requirement for an AI policy or adoption roadmap

Special training dates and customised programmes can be reserved based on trainer availability.


Frequently Asked Questions

Can the training be conducted at our office?

Yes. On-site corporate AI training can be organised at the organisation’s office, conference facility, university, institutional campus or selected venue.

Is online training available?

Yes. Live online programmes can be conducted for teams located in different cities or countries.

Is hybrid training available?

Yes. A hybrid model can combine on-site participants with remote employees.

Can the course be customised for our industry?

Yes. Use cases, exercises and examples can be adapted for industries such as manufacturing, healthcare, education, finance, real estate, technology, consulting, media, retail and professional services.

Can we book a one-day programme?

Yes. One-day executive and corporate AI masterclasses are available.

Can the programme be extended to seven days?

Yes. Extended programmes can cover advanced prompting, Claude, Microsoft Copilot, RAG, n8n, vibe coding, agentic AI and department-specific implementation.

Does the programme cover data security?

Yes. Responsible AI, confidentiality, human review and tool-selection considerations are included. The training is educational and does not replace legal, compliance or cybersecurity advice.

Does the programme include hands-on exercises?

Yes. Exercises can be included according to the duration, participant access and approved tools.

Can senior leaders attend a separate session?

Yes. A leadership-focused AI strategy and governance masterclass can be conducted separately.

Are certificates available?

Participation certificates can be included when specified in the proposal.

Can universities and government organisations book the programme?

Yes. Programmes can be customised for universities, colleges, government departments, public-sector organisations, professional bodies and industry associations.

Is special on-demand booking available?

Yes. Organisations may request customised dates, course combinations and delivery formats, subject to trainer availability.


Book Corporate AI Training in Northeast India

Prepare your leadership and employees for responsible, secure and productive AI adoption.

Book a customised:

  • One-day AI masterclass

  • Two-day Generative AI workshop

  • Three-day AI adaptability programme

  • Four-day departmental AI bootcamp

  • Five-day enterprise AI programme

  • Six-day automation and agentic AI course

  • Seven-day complete corporate AI transformation programme


Contact Parikshit Khanna

Parikshit KhannaAI Trainer | Corporate Enablement Specialist | Prompt EngineerFounder, Digital Training Jet

Call or WhatsApp:+91 99972 13177+91 80762 50669

Instagram:@digitalparikshitkhanna

Training Modes:On-Site | Online | Hybrid

Programme Duration:One Day to Seven Days

Availability:Special organisational booking on demand, subject to schedule confirmation


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