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AI-generated bearded portrait of Parikshit Khanna for Claude and Copilot Enterprise Training in Delhi NCR: A Practical Programme Map

Claude and Copilot Training in Delhi NCR: A Practical Programme Map

Sep 12
6 min read

Updated: 7 days ago

Parikshit Khanna leading AI training for the Pansari Group
Real session photo: AI training for the Pansari Group.

By Parikshit Khanna | Substantively updated 15 October 2026 | Practical training guide


Enterprise training should connect the tool to the job: a legal brief, a management update, a customer proposal or a spreadsheet explanation. This Delhi NCR programme map helps teams combine Claude and Microsoft Copilot without overwhelming learners with a long list of unrelated products. Parikshit Khanna can align the workshop to your source systems, roles and approval process.


Parikshit Khanna presenting AI productivity tools to a corporate team
Real photo from Parikshit Khanna's training sessions.

At a glance


Programme focus

Who it helps

Delivery and next step

enterprise programme design

Professionals and teams in Delhi NCR

Onsite, online or hybrid by agreement

Learning outcome

A reviewed workflow participants can repeat

Corporate proposal or private booking


Participants practising AI prompts in a workshop led by Parikshit Khanna
Real photo from Parikshit Khanna's training sessions.

A practical approach to enterprise programme design


Begin with audience discovery, then build a short sequence from foundations to role-specific practice. Claude and Copilot can be taught together when participants understand where their source material lives and which account is approved. Keep advanced connectors or automation as separate modules when permissions, setup or technical support require additional preparation.


Parikshit Khanna guiding a hands-on AI exercise for professionals
Real photo from Parikshit Khanna's training sessions.

Check tool access before the workshop


Confirm the Microsoft work account, assigned licence, app access and permitted source files with your IT coordinator. Select exercises using the capabilities participants can actually open; prepare a supplied-file alternative when a connected workflow is unavailable.


Parikshit Khanna speaking at a live AI workshop
Real photo from Parikshit Khanna's training sessions.

Workshop modules and outputs


Module

What participants practise

Output to review

Foundation

Prompting, evidence and review

Reusable task brief

Knowledge work

Claude document synthesis

Source-grounded analysis

Microsoft 365

Copilot in available app contexts

Reviewed workplace draft

Functional lab

HR, finance, sales or management

Role-specific workflow

Adoption

Owners, templates and feedback

Measured team pilot


Workshop participants with Parikshit Khanna during an AI session
Real photo from Parikshit Khanna's training sessions.

Try this exercise


Give a team an approved project pack. Use Claude to structure the questions and synthesise supplied documents, then use the organisation’s available Microsoft 365 workflow to create a meeting brief or presentation outline. Keep a record of what each tool could access. The handoff should carry the evidence and assumptions, not only the final polished text.


Parikshit Khanna explaining an AI workflow on screen
Real photo from Parikshit Khanna's training sessions.

Prompt you can adapt


Use only the approved material I provide. Task: support enterprise programme design. Audience: [name the reader]. Output: [state the required format]. For each factual claim, give a source location. Separate evidence, assumptions and unresolved questions. Do not invent missing figures, dates or approvals. End with a checklist for the person reviewing the result.


Parikshit Khanna giving his TEDx talk Redesigning Work with Artificial Intelligence
Real photo: TEDx talk at TEDxEicher School Faridabad Youth, 1 August 2026.

How to judge whether the workflow works


Keep the first draft and reviewed version. Record factual corrections, missing inputs, editing effort and whether the output met the task brief. Repeat on another safe example before treating it as a reusable workflow. Compare the complete effort with your previous process. Any productivity benefit should be measured in your own setting.


Parikshit Khanna answering questions at an AI training
Real photo from Parikshit Khanna's training sessions.

Choose the workflow before choosing the platform


A combined Claude and Microsoft 365 Copilot programme should help participants make a practical platform choice. Start by locating the approved information, defining the finished deliverable and identifying the person who reviews it. Then select an available tool and account that fit the task. Moving a document between platforms should have a clear purpose and follow the organisation's information-handling rules.


Teams in Delhi, Noida, Gurugram and Greater Noida can use the same programme map while selecting different functional labs. A leadership cohort may need decision briefs; an HR cohort may need policy explanations; a commercial cohort may need proposal preparation. The course should develop a small number of dependable workflows before expanding into advanced integrations.


Parikshit Khanna leading a corporate AI training session
Real photo from Parikshit Khanna's training sessions.

A curriculum map from foundations to reviewed workplace output


Learning block

Practical exercise

Review responsibility

Task and evidence

Write a brief naming audience, approved sources and missing inputs

Participant checks the brief; source owner checks suitability

Claude knowledge work

Compare supplied documents and draft an evidence-linked explanation

Subject specialist checks meaning and omissions

Copilot workplace context

Prepare a brief within the available Microsoft workflow

Process owner checks source access and task completion

Output creation

Refine a document, deck outline or interactive example

Intended recipient checks usability; owner approves release

Team handoff

Package the reviewed result with assumptions and source references

Receiving team confirms that it can continue the work


Parikshit Khanna at a Google Gemini workshop at IIT Guwahati
Real session photo: Google Gemini workshop at IIT Guwahati, November 2025.

Where Claude Projects and Artifacts fit


Claude Projects organise chats with reference knowledge and project instructions. They can support a training example such as maintaining approved terminology and a reporting brief. Team and Enterprise sharing includes permission controls. Artifacts provide an editable output surface for documents, decks, designs and interactive tools; required capabilities and plan-specific features should be confirmed before a workshop.


For a practical lab, create a fictional product-information project containing a short specification, an approved tone guide and a list of prohibited promises. Ask learners to draft a customer explainer and mark anything the sources do not establish. The product owner checks accuracy, while the communication reviewer checks whether the language is understandable. Keep the source pack and corrected example together.


Participants practising AI prompts in a workshop led by Parikshit Khanna
Real photo from Parikshit Khanna's training sessions.

Teach a deliberate handoff between tools


Use a fictional project pack to practise the transition from analysis to communication. First, ask learners to identify dependencies and open questions from supplied documents. Next, carry the reviewed findings into the approved workplace tool to prepare a meeting brief or presentation structure. At the handoff, include evidence references, unresolved assumptions and the intended audience, rather than transferring only polished paragraphs.


Choose one reviewer for the analysis and another for the final communication when their responsibilities differ. Check that numbers, caveats and proposed actions survive the transition. The success criterion is whether the receiving person can understand and use the approved result without reconstructing the entire conversation.


Parikshit Khanna guiding a hands-on AI exercise for professionals
Real photo from Parikshit Khanna's training sessions.

Set boundaries for advanced modules


Treat connectors, automation and development workflows as separate options when they require additional permissions or technical support. Claude commercial products do not use inputs and outputs for training by default, while consumer plans follow different choices and policies. Account selection therefore belongs in preparation. Use approved sample material until the organisation has confirmed the appropriate handling rules for its own information.


Parikshit Khanna leading AI marketing training for Gaursons
Real session photo: AI marketing training for Gaursons (Gaur City), Greater Noida.

About Parikshit Khanna


Parikshit Khanna is a corporate AI trainer, TEDx speaker and founder of Digital Training Jet. His programmes cover practical prompting, document work and responsible use of Claude, ChatGPT, Gemini and Microsoft Copilot. His profile records 3,50,000+ professionals trained across programmes. His published portfolio includes enterprise workshops and academic sessions; review the profile for photographs and background. Training is independently offered and does not imply endorsement by the tool providers.





Workshop participants with Parikshit Khanna during an AI session
Real photo from Parikshit Khanna's training sessions.

Corporate and private booking options


Booking route

Suitable for

What to share

Corporate proposal

Teams, leadership groups and institutions

Company, roles, cohort size, location, dates and workflows

Private Topmate booking

Individual coaching and mentoring

Choose a current service, format and available slot


Corporate engagements are quoted on scope and logistics. Private service details, current prices and availability are shown on Topmate. Confirm materials, technical setup and follow-up support in the proposal or listing.







Frequently asked questions


Do learners need dozens of AI tools to benefit?


No. A few approved tools used well can support a useful programme. Additional products should be introduced only when a specific task, integration or learning objective requires them.


Are specific features or results guaranteed?


No. Availability depends on the product plan, account, region, rollout and administrator configuration. Training outcomes depend on practice, source quality and human review. Confirm required capabilities before booking.


Should everyone learn Claude and Copilot together?


A shared foundation can explain evidence, prompting and review. Platform-specific labs should follow the tools available to each role, so participants practise something they can actually repeat at work.


Is Claude training only for technical employees?


No. Document comparison, policy explanations and structured writing can suit nontechnical roles. Coding or integration modules need a separate scope and the appropriate preparation.


What should an organisation share before requesting a programme?


Share participant roles, permitted platforms, current account access, recurring tasks, safe sample documents and the expected deliverables. Identify who can approve the practice material and review the final outputs.


How should the programme be evaluated?


Assess a completed workflow: source selection, factual support, treatment of missing information, usable output and successful handoff. Check whether another team member can repeat the method with a comparable example.


Parikshit Khanna explaining an AI workflow on screen
Real photo from Parikshit Khanna's training sessions.

Sources and editorial note


Product statements were checked against the official documentation linked above on 15 October 2026. Programme formats and exercises are training recommendations. Profile information is supplied by Parikshit Khanna and linked to his published portfolio. AI-assisted editorial imagery is clearly labelled.


Parikshit Khanna at a ChatGPT workshop at IIT Roorkee
Real session photo: ChatGPT workshop at IIT Roorkee, April 2025.

Related training guides





Parikshit Khanna answering questions at an AI training
Real photo from Parikshit Khanna's training sessions.

Official references for the updated guide







The exercises and planning templates are illustrative training recommendations. Product access can change; confirm the current plan and administrator settings when scoping a session. Updated 15 October 2026.


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