AI · AIC-27

AI for Manufacturing

12 hours 2 days

Last updated 25 Sep 2026

AI for Manufacturing is a 12-hour training course by IT Genius Institute. Factories and manufacturing work are full of documents, data and routine tasks: creating and improving SOPs and work instructions, recording and analyzing…

Training schedule

No public rounds are open right now — register your interest and we will contact you when the next round opens, or request an in-house session for your team.

Corporate training quote

Factories and manufacturing work are full of documents, data and routine tasks: creating and improving SOPs and work instructions, recording and analyzing production data, finding the causes of defects and downtime, preparing shift and monthly reports, maintenance and safety work, and production and inventory planning. These tasks are time-consuming, demand high accuracy and are often spread across many systems and spreadsheets. Generative AI greatly reduces the time spent on document and analysis work so factory teams work faster, to one standard, and have more time to focus on real process improvement. This course is designed to help factory and manufacturing teams use AI

in real work confidently and safely, covering the whole process, from documents and SOPs, analyzing production and quality data, maintenance and safety work, production and supply chain planning, setting up shop-floor assistants and a factory knowledge base, to automation with n8n, plus practices for accuracy, data security and protecting trade secrets and data under PDPA. All content is taught through workshops on real factory tasks, finishing with a capstone project where learners set up an end-to-end AI toolkit for their own work. (2 days, 6 hours per day, 12 hours in total, Beginner to Intermediate level, no AI or programming background required.)

Objectives

Understand how AI changes factory and manufacturing work and choose the right AI tool for each task
Design prompts for factory work and keep results accurate and verifiable
Use AI to create and improve SOPs, work instructions and standard work documents
Use AI to analyze production data such as output, defects and downtime, and verify the numbers
Use AI for quality work and finding defect root causes (root cause, 5-why)
Use AI for maintenance and safety work, such as repair logs, PM plans and safety documents
Use AI for basic production and supply chain planning
Set up shop-floor assistants and a factory knowledge base with Custom GPT/Gems
Set up factory automation with n8n, such as report summaries and alerts
Set practices for accuracy, data security and protecting trade secrets

Who this course is for

Production and planning engineers and supervisors
Quality control (QC / QA) staff and supervisors
Maintenance and safety teams
Factory managers and production executives who want to set up AI use for their team
Factory owners and manufacturing SMEs who want to improve efficiency with AI

Prerequisites

General computer and internet skills
Basic Microsoft Excel or Google Sheets skills
Understanding of your factory or production process to use as a case study during training
No AI or programming background required

Curriculum

Course Details

A 2-day course, 6 hours per day (12 hours in total), delivered as a hands-on workshop with a capstone project. Beginner to Intermediate level, no AI background required. Learners take home a factory prompt library, a shop-floor assistant (Custom GPT/Gem), SOP templates, PM checklists and sample production reports, and a data security and PDPA checklist.

Day 1: AI for Documents, Production Data and Quality

Section 1: AI in Factory and Manufacturing Work

An overview of generative AI in factory and manufacturing work and what changes in the process
AI use cases in production: documents, data, quality, maintenance, safety and planning
Choosing the right AI tool for each task
AI limits and a verification mindset for work that demands high accuracy

Section 2: Effective Prompts for Factory Work

A good prompt structure for production: role, process context, data and output format
Instructing AI to reference standards and show reasoning so results are traceable
Using examples to keep document and report formats consistent
Building a team prompt library for recurring work

Section 3: SOPs and Work Instructions with AI

Using AI to create and improve SOPs, work instructions and manuals
Turning shop-floor steps into standard documents that are easy to read and follow
Creating checklists and forms for routine work
Workshop: create or improve one of the learner's SOPs with AI

Section 4: Analyzing Production Data with AI

Using AI to analyze production data such as output, defects, downtime and OEE
Finding anomalies and trends worth checking
Preparing shift and monthly reports that support decisions
Workshop: use AI to analyze a sample production dataset and summarize key points, verifying the numbers

Section 5: Quality and Defect Analysis

Using AI to help with quality control and summarize defect data
Finding root causes with root cause and 5-why techniques, with AI helping to ask the questions
Reading and summarizing data from defect images and shop-floor documents (multimodal)
Workshop: analyze a sample defect case and draft a corrective plan with AI

Day 2: Maintenance, Planning, Assistants and Automation

Section 6: Maintenance and Safety Work

Using AI to summarize repair logs and help with basic machine problem analysis
Preparing preventive maintenance (PM) plans and checklists
Preparing safety documents such as JSA and summarizing near-miss events
Workshop: prepare one PM checklist or safety document with AI

Section 7: Production and Supply Chain Planning

Using AI to help with basic production planning and scheduling
Forecasting demand and helping manage inventory and materials
Analyzing the impact of assumptions and simple scenario building

Section 8: Shop-floor Assistants and Factory Knowledge Base

Building a Custom GPT or Gem as a shop-floor assistant answering questions on SOPs and standards
Embedding factory documents and knowledge for consistent results shared across the team
Using AI to help train shop-floor staff and transfer knowledge
Workshop: build one shop-floor assistant to answer common production-line questions

Section 9: Factory Automation with n8n

Setting up factory automation with n8n, such as daily production report summaries
Alerts when production values or defects are abnormal
Connecting data across systems and spreadsheets for a complete production view
Workshop: design one simple automation flow for factory work

Section 10: Accuracy, Data Security and PDPA

Setting mechanisms to verify result accuracy before use in production
Data that must not go into AI: trade secrets, production formulas and sensitive data
Employee personal data under PDPA and setting the team's AI usage guideline

Section 11: Capstone Project and Real-world Adoption

Task: set up an end-to-end AI toolkit for the learner's factory work, from documents and SOPs and data analysis to a shop-floor assistant
Present the work and get feedback from the instructor and peers
A first-30-days adoption plan and setting up AI use for the whole factory team

Frequently asked questions

Who is AI for Manufacturing for, and what background is needed?

Built for Production and planning engineers and supervisors · Quality control (QC / QA) staff and supervisors · Maintenance and safety teams Background you should have: General computer and internet skills · Basic Microsoft Excel or Google Sheets skills Not sure the fit is right? Talk to our team on LINE @itgenius or call 02-570-8449.

How much does AI for Manufacturing cost and how long does it run?

THB 7,900 (currently THB 7,110 on promotion). The course runs 12 hours. The fee covers course materials, lunch and refreshments throughout. Pay by bank transfer to the company account, confirm it on our payment page, and we can issue the receipt or tax invoice in your company's name.

Do I get a certificate?

Yes. Everyone who completes the course receives a Certificate of Completion from IT Genius Institute. Each certificate carries its own number, and anyone holding that number can verify it online on our certificate page, so you can add it to your portfolio or pass it to HR as evidence of training.

Where does the training take place, and is there an online option?

You can attend onsite at IT Genius Institute or arrange to join online, and we also run it as a private in-house session for your team. Ask about dates and venues on LINE @itgenius or call 02-570-8449.

What if I fall behind or miss a session — can I retake it?

Yes. You may retake the same course free of charge in a later round, under the institute's conditions. Tell our team which course and round you attended, and we will check it and offer you the rounds that still have seats. Ask us on LINE @itgenius or call 02-570-8449.

How do I enrol, or request a quotation for my company?

Enrol online with the registration form on this page. You can register several attendees at once and enter your tax ID and billing address for the tax invoice. Or request a company quotation straight from the quote button. For anything else call 02-570-8449 or reach us on LINE @itgenius.