About the Course
Parikshit Khanna runs AI workshops for manufacturing teams in India. Supervisors, quality teams and operations staff practise converting approved shift notes into usable handovers and drafting questions for quality checks. Process, engineering and safety decisions stay with the responsible staff.
Key facts at a glance
Trainer: Parikshit Khanna, corporate AI trainer, TEDx speaker and founder of Digital Training Jet (since 2020).
Programme: AI Training for Manufacturing Teams in India.
Format: onsite across India by written proposal, or live online in IST.
Fee: By written proposal.
Contact: WhatsApp +91 99972 13177 or parikshitkhanna@digitaltrainingjet.com.
Page updated: 10 November 2026.
Sample manufacturing lab for shift handovers
Read shift notes. Extract downtime, quality observations and open actions from a fictional shift record.
Draft a handover. Group issues by production line and separate confirmed facts from assumptions. Add an owner and next check to each open action.
Get supervisor sign-off. Verify the handover against the original record and the plant’s procedures before sharing. The takeaway is an editable handover format and review checklist.
Agentic AI training for operations teams • Explore all corporate training programmes
Who this programme is for
Plant managers, production supervisors, quality teams, maintenance planners, operations managers, industrial HR and continuous improvement teams working across manufacturing organisations in India.
Your practical takeaways
Structure operational information
Convert inconsistent notes into a clear draft with dates, machines, observations and open actions. Retain missing information instead of filling gaps with plausible but unsupported detail.
Support investigation and communication
Generate useful questions and organise evidence for specialists. Separate observed facts from proposed causes so a generated explanation does not prematurely close an investigation.
Keep plant review responsibilities clear
Create checks for quantities, terminology, source versions and approvals. Confirm that any instruction or operational recommendation follows the plant's existing authorisation process before use.
Six programme modules and exercises
1. Select a practical plant use case
Start with a recurring document or reporting task, rather than a live control system. Identify the process owner, intended reader and information required for a useful, reviewable output.
Practical exercise: Choose a sample shift handover or quality summary and define acceptance criteria.
2. Prepare clear operational inputs
Standardise timestamps, units, equipment identifiers and category names. Ask what information is missing or ambiguous before requesting an analysis, especially when handwritten notes have been transcribed.
Practical exercise: Reformat a synthetic shift log and identify unclear entries.
3. Improve shift handovers and reports
Summarise what happened, what remains open and who must review it. Keep actual downtime or quantity figures separate from estimates, and use language the receiving team can understand.
Practical exercise: Prepare a draft handover with open issues, owners and verification questions.
4. Support quality investigation
Organise observations and generate questions for a structured investigation. Compare potential causes with the available evidence and identify what measurements or specialist input would be needed next.
Practical exercise: Create an investigation question set from a fictional defect report.
5. Draft clearer process documentation
Turn approved source notes into a draft checklist or work instruction. Review technical terminology, sequence and exceptions with the process owner; retain required approval and revision information.
Practical exercise: Rewrite an approved fictional procedure for clarity without changing its technical intent.
6. Plan a controlled department pilot
Choose approved tools, sample tasks and named reviewers. Define how to report incorrect output and stop the pilot, then track review effort, omissions and task completion against a baseline.
Practical exercise: Prepare a pilot plan for one team and one document workflow.
Workplace examples for Indian teams
Production supervision
Starting material: Synthetic shift notes, equipment identifiers and agreed reporting fields. Practice output: A structured handover and a list of missing or conflicting information. Review: Verify quantities, timings and owners against the underlying records before use.
Quality assurance
Starting material: A fictional defect log, inspection observations and defined product context. Practice output: A grouped issue summary and questions for the quality investigation. Review: Check classifications; treat suggested causes as hypotheses requiring evidence.
Maintenance planning
Starting material: Synthetic work-order notes and an approved planning template. Practice output: A draft backlog summary with incomplete records and follow-up questions. Review: An authorised specialist confirms priority, technical steps and any safety implications.
Preparation and account access
Participants need laptops, an approved AI account and familiarity with the selected plant process. Share synthetic or anonymised logs and approved document examples during scoping. Keep confidential designs, customer specifications and sensitive equipment data within approved systems. The programme supports documentation and analysis; it does not authorise changes to equipment or operating procedures.
Delivery across India
Live online in IST, or onsite by written proposal. Discuss Delhi NCR, Mumbai, Bengaluru, Hyderabad, Pune, Chennai, Kolkata, Ahmedabad, Jaipur or another Indian city. Dates, venue, participant numbers, duration, fees and travel are confirmed before booking. Corporate formats can focus on a three-hour foundation, a six-hour applied workshop or an agreed learning series; private sessions are scoped individually.
Selected client portfolio: completed corporate programmes
Updated 10 November 2026. Digital Training Jet programmes have reached more than 3,50,000 professionals.
Franklin Templeton India | November 2026 | Microsoft Copilot, ChatGPT, Gemini. Organisation wide Unlocking the Power of AI session, live on Microsoft Teams, with a practice workbook and prompt library.
BT E-Serv India (British Telecom) | August 2026 | Claude. Hybrid Claude workshop in Gurugram for Legal, Compliance and Company Secretariat teams.
Emami Ltd | October 2026 | Claude. Claude workshops for Legal & Compliance, Internal Audit, Finance & Accounts, and Finance & Commercial teams.
Godrej Properties | August to September 2026 | Microsoft Copilot. Microsoft Copilot enablement and prototype support for the INNOV8-NZ programme.
CP PLUS | October 2026 | Microsoft Copilot. AI and Microsoft Copilot workshops for CP PLUS teams in Noida.
INOX India / INOXCVA | August 2026 | Claude, ChatGPT. GenAI workshops for HR, production, marketing, IT and management teams, covering ChatGPT prompting and Claude for documents, data and dashboards.
RMZ Real Assets | July 2026 | Claude, ChatGPT, Microsoft Copilot. Two-day GenAI workshop covering leadership, revenue and leasing, asset management, finance and ESG applications with Claude, ChatGPT and Microsoft Copilot.
Delhi Duty Free / GMR Airports | September 2026 | Microsoft 365 Copilot Chat. Microsoft 365 Copilot Chat workshop for the Delhi Duty Free team, with practical prompts, document exercises and safe-use guidance.
Homeland Group | July 2026 | Claude. Practical Claude training for HR, administration, procurement, vendor management, planning and operations.
Rocket Learning | September 2026 | Claude. Working With Claude workshop for the Education and Content team, covering structured prompts, Projects and team planning.
Padmini VNA Mechatronics | October 2026 | Microsoft 365 Copilot. AI foundations, generative AI and Microsoft 365 Copilot workshop for Padmini VNA teams.
AON Consulting | June 2026 | Microsoft Copilot. GenAI and Microsoft Copilot training for the FP&A team, delivered through Imarticus.
About Parikshit Khanna
Parikshit Khanna is a corporate AI trainer, TEDx speaker and the founder of Digital Training Jet, established in 2020 and based in Greater Noida West, Delhi NCR. Digital Training Jet programmes have reached more than 3,50,000 professionals. He trains teams on Claude, ChatGPT, Microsoft 365 Copilot and Google Gemini, onsite and live online, and has completed Anthropic Academy courses including Claude 101 and Claude Cowork.
Frequently asked questions
Is this suitable for non-technical shopfloor teams?
The agenda can use familiar notes, reports and checklists in plain language. Tell us participants' roles and comfort with computers so the exercises match their needs.
Will we connect AI to live production equipment?
The core workshop uses documents and sample data. Any live systems integration requires a separately defined technical project and your plant's engineering, IT and operational approvals.
Can AI identify the root cause of a defect?
It can help organise observations and propose investigation questions. A suggested cause is a hypothesis; your quality team must validate it using evidence and established methods.
Can we practise with our SOPs and quality logs?
Use approved, anonymised or synthetic material. The process owner should review the source version and confirm that workshop outputs do not introduce unapproved technical changes.
What is needed for an India manufacturing training proposal?
Share plant location, participant functions, current tools and repeated documentation problems. Include representative approved tasks and preferred dates to scope relevant exercises and delivery requirements.
Request your tailored training proposal
Share your team roles, size, city, approved tools, two recurring tasks and preferred dates. Enquire at https://www.parikshitkhanna.com/contact or WhatsApp +91 99972 13177. Individual options are listed at https://topmate.io/parikshit_khanna. Product names belong to their respective owners. This is independent professional training. Graphics are AI-generated concept illustrations.
Original photographs from earlier teaching sessions
Original photographs from Parikshit’s wider teaching portfolio. Each caption identifies the tool or setting shown.
Explore Parikshit’s trainer profile and session portfolio
Learner feedback on Parikshit’s Topmate profile
Feedback from earlier sessions, published on Parikshit’s Topmate profile.
“Gained valuable practical tips along with complete knowledge of AI tools”
Deep Shikha · January 2025 · Public Topmate review
“Indeed it was enriching experience.”
Mohd Aarif · November 2024 · Public Topmate review
“It was a wonderful session”
Shalini Rajesh · February 2026 · Public Topmate review
Choose your learning format
For a company workshop, start with a discovery call or a tailored proposal. Individual sessions and self-paced resources have their own scope on Topmate. Check the current listing for availability, inclusions and pricing.
Optional self-paced resource: AI Productivity Starter Kit. This is a separate Topmate product; the listing defines its coverage.
Email parikshitkhanna@digitaltrainingjet.com or WhatsApp +91 99972 13177 with your team roles, group size, location, preferred dates and two recurring tasks.
Your Instructor
Parikshit Khanna
Parikshit Khanna is a corporate AI trainer, TEDx speaker and founder of Digital Training Jet, established in 2020. Digital Training Jet programmes have reached more than 3,50,000 professionals. Recent clients include Franklin Templeton India, Emami, Godrej Properties and RMZ.
