Industry-specific employee AI training · Manufacturing

🏭 AI training for manufacturing employees

All-employee track · Executive track · 2–8 hour formats · This page lists estimated fees and whether Employment Insurance refunds apply.

If a manufacturer simply reuses a general AI course designed for office workers, half the room will be lost. Production, quality, maintenance, purchasing, and safety each use different documents, and many shop-floor employees do not sit at a PC during their shift.

That is why this course segments the audience first. Office and management staff (production control, quality, purchasing, engineering, business support) get hands-on sessions with documents and data. Shop-floor team leaders and foremen get a short session focused on what works on a smartphone. We collect the forms your company actually uses in advance and use them as-is for practice.

What AI actually does in manufacturing

These are the tasks you practice in training. We work with real documents from your company, collected in advance, not another company’s examples.

TaskWhat you do with AI
Drafting work instructions and SOPsFeed in the existing standard and the changes, and you get a revision draft and a change-history summary in one pass. People only review and approve.
Quality issue and nonconformance reportsEnter field notes and measurements to draft reports in 8D or 5 Why format, and group similar cases to identify why problems keep recurring.
Equipment inspection and maintenance recordsOrganize scattered inspection records into tables, extract recurring failure items and their intervals, and use them as the basis for preventive maintenance plans.
Supplier quote and spec comparison tablesTurn several quotes in different formats into one comparison table on the same basis. Missing items and unit differences are flagged first.
Safety and statutory training materialsDraft training slides, quizzes and notices from your internal safety rules and accident cases, plus a short summary to post on the shop floor.
Overseas clients and technical documentsCovers how to have AI translate technical specifications and claim replies into English while following your industry terminology and in-house conventions.

What we always consider when designing manufacturing training

These are the points where a generic office-worker curriculum falls flat.

No PCs on the shop floor — A curriculum built around laptop exercises won’t work for production-line staff. For supervisors and team leaders, we design everything around smartphone apps.

Drawings and specs can’t leave the company — Design drawings, costs, and client specifications can’t be uploaded to external AI services. We start by drawing a clear line between what can go in and what can’t.

Shift work means people can’t all gather at once — Running the same content in 2 or 3 sessions is the usual setup. Splitting doesn’t change the rate — it’s still calculated by total hours.

Curriculum ① All-employee and practitioner track

Half-day (4-hour) agenda

Audience All office and administrative staff, from team members to team leads. It’s fine if more than half have never used AI.
Goal Everyone leaves having handed one real task from their own desk to AI.

#ModuleDetailshours
1What works and what doesn’t right nowIn one session, we compare how ChatGPT, Gemini, and Claude differ in real work and what you get with paid plans versus free ones. It is not a tool showcase. It gives you what you need to decide which tools to turn on for your company account.30 min
2Giving AI instructions — the 4 elements of a promptRole, context, format, verification. The difference between people who use AI well and those who don't is not talent but whether they leave out one of these four. We give the same task a poor instruction and a good one, and compare the results side by side.45 min
3Six uses you can apply right away in manufacturingThis session is the heart of the course. We collect real documents from your company in advance and practice with them. With another company’s examples, what you learn doesn’t follow you back to your desk.
  • Work instruction and SOP drafts — Feed in the existing standard and the changes, and you get a revision draft and a change-history summary in one pass. People only review and approve.
  • Quality incident and nonconformance reports — Enter field notes and measurements to draft reports in 8D or 5 Why format, and group similar cases to identify why problems keep recurring.
  • Equipment inspection and maintenance records — Organize scattered inspection records into tables, pull out recurring failure items and intervals, and use them as the basis for a preventive maintenance plan.
  • Supplier quote and spec comparison tables — Turn several quotes in different formats into one like-for-like comparison table. AI flags missing items and unit mismatches first.
  • Safety and statutory training materials — Turn your internal safety rules and accident cases into draft slides, quizzes, and posters. We also produce a short summary version for posting on the shop floor.
  • Overseas clients and technical documents — Covers how to have AI translate technical specifications and claim replies into English while following your industry terminology and in-house conventions.
55 min
4Creating documents — from draft to approvalWe take reports, internal approval memos, and emails from first draft to final version, always finishing by stripping out the AI tone and rewriting them in your organization’s own voice.40 min
5Working with data — tables, meeting notes, long documentsOrganizing Excel tables, summarizing meeting recordings, and finding just the clauses you need in long policy documents. This is where the tasks people used to spend the most time on get faster.35 min
6What not to do — confidential information, hallucinations, copyrightWhat must never go into an AI tool, how to catch facts the AI makes up, and how far you can use its output under your company’s name. Skip this session, and the training itself can lead to an incident.
  • There are no PCs on the floor — A curriculum that puts production-line staff on laptops fails in practice. For foremen and team leaders, we design around smartphone apps.
  • Drawings and specs can’t leave the company — Design drawings, costs, and client specifications can’t be uploaded to external AI services. We start by drawing a clear line between what can go in and what can’t.
  • Shift work means people can’t all gather at once — Running the same content in 2 or 3 sessions is the usual setup. Splitting doesn’t change the rate — it’s still calculated by total hours.
35 min

Program ② Executive and team lead track

Standard format for a 2-hour session

Audience Executives, division heads, team leads and other managers — leaders who need to know 'what needs deciding' rather than how to use the tools themselves.
Goal To leave the room with clear decisions on what to do first and what to prohibit when bringing AI into the organization.

#ModuleDetailshours
1Where you stand todayWe cover only what has actually changed in the past year. Not technology forecasts, but what is already happening inside companies — starting from the fact that employees are already using AI.30 min
2Where manufacturing changes firstThe same technology hits each industry in a different place. We identify which tasks in this sector change first.
  • Where manufacturing changes first — Before AI changes the line, it changes documents and reports. We start with the work that takes the most manual effort: quality reports, standards revisions, and supplier management.
  • Don’t confuse this with smart factory projects — Predictive maintenance based on equipment data and generative AI use need different levels of investment and different groundwork. When the two are lumped together in reports, decisions go wrong.
35 min
3How to adopt AI — start with tasks, not toolsIf you start by buying accounts, most go unused within three months. We flip the order: choose the tasks first, then measure the results.30 min
4Four decisions leaders must makeWhat is allowed, what is prohibited, tools and budget, and how to measure results. You leave with draft wording written that same day.25 min

Training hours and cost

Estimated fees are based on our published standard rates (Korean-language delivery, up to 30 participants per class). 2026 published standard rates, in units of KRW 10,000 (≈ US$7). VAT, materials, travel, and customization are extra.

FormatFormatEstimated fee
2-hour lectureWe condense this into the first three modules (the tool landscape · the 4 elements of a prompt · industry use cases). The goal: 'Try at least one thing before you leave.'About KRW 1.2 million (≈ US$900)
4-hour half-day workshopAll six modules, with half the time spent on hands-on practice. The format most clients choose.About KRW 2.4 million (≈ US$1,800)
8-hour full-day programSix modules (240 minutes) plus 240 minutes of team practice and presentations. Each team picks one of its own tasks and finishes it that same day.About KRW 4 million (≈ US$2,990)

Sessions in English are KRW 800,000 (≈ US$600) per hour. Multi-session programs and public-sector or tender projects are priced separately — contact us for details.

Is it eligible for Korean employment insurance reimbursement?

Nanum Consulting’s on-site training is not an Employment Insurance reimbursement (employer-commissioned training) program.

To receive an employment insurance refund, training must be delivered as commissioned training under a course approved by the Ministry of Employment and Labor. Nanum Consulting does not hold training course approval, so our on-site training is not eligible for refunds.

If a refund is a requirement for budget approval, please tell us when you first contact us. We will point you to a route that fits that requirement, and if we are not the right fit, we will say so. Learning after you have started that no refund is available is far worse for both sides.

Budgets often work out without a refund. A 2-hour session at KRW 1.2 million (≈ US$900) comes to KRW 40,000 (≈ US$30) per person for 30 participants, and is fully deductible as a training expense. Refund-eligible courses must follow a fixed standard curriculum, but without a refund we can build the curriculum around your own work and real documents.

Get a proposal for this program

We bundle the curriculum and an estimated quote into a single PDF and send it right away. No phone number needed, just your name and email. We’re happy to talk even if your requirements aren’t settled yet, and we reply within 24 hours.

Questions manufacturing managers often ask

Can shop-floor workers take the AI training too?

Yes, but we split the curriculum. Office and management staff work hands-on with documents and data on laptops, while production-floor staff get a shorter program built around what works on a smartphone (organizing photos of documents, cleaning up voice memos, making safety notices). Mixing both groups in one class leaves both less satisfied.

Can we put drawings or cost data into AI?

Our rule is simple: keep it out. We train staff never to enter design drawings, cost breakdowns, or client specifications into external generative AI services, and instead practice asking questions with the figures removed or only the structure kept. If your company already has AI usage guidelines, we build them into the training materials.

Because of shift work, we can’t bring everyone together at once.

Splitting the same course into 2 or 3 sessions is the most common approach for manufacturers. The fee is still based on total hours, and splitting a single day into morning and afternoon sessions means travel costs are charged only once.

See Other Industries

The curriculum on this page is a standard format; in practice we adjust it to reflect your work documents and pre-training assessment results. Amounts shown are estimated fees based on our published standard rates, and VAT, materials, travel, and customization costs are extra.