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AI for Lean Manufacturing

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Corporate Office Suite, KL Gateway, No. 2, Jalan Kerinchi, Gerbang Kerinchi Lestari, 59200 Kuala Lumpur, Malaysia

Learning Outcomes

By the end of the course, learners will be able to:

  • LO1: Apply AI-assisted Lean manufacturing fundamentals to identify waste and non-value-added activities.
  • LO2: Use AI to support inventory classification and Kanban optimisation.
  • LO3: Apply AI to control production, inventory and material flow, and to identify bottlenecks.
  • LO4: Use AI to support Lean implementation, performance monitoring and preventive maintenance.

Course Brochure

Download Course Brochure

Prerequisite

This course is for beginners. No prerequisite is required.

Certification

  • Participants who achieve at least 75% attendance will receive a Certificate of Attendance from Tertiary Courses Malaysia.

AI for Lean Manufacturing

Course Code: C1223

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What's This Course About

This AI for Lean Manufacturing course equips learners with practical knowledge and hands-on skills to apply Artificial Intelligence (AI) to improve manufacturing processes, reduce waste, enhance productivity, and support continuous improvement. The course integrates established Lean Manufacturing principles with modern AI capabilities, enabling participants to identify inefficiencies, analyse operational data, and make more informed improvement decisions.

Learners will explore how AI can support key Lean practices such as value stream analysis, waste identification, process optimisation, quality improvement, predictive maintenance, production planning, and root cause analysis. Through practical manufacturing scenarios, participants will use AI to analyse process information, identify bottlenecks and non-value-added activities, generate improvement recommendations, and evaluate alternative solutions.

The course also examines how AI can enhance traditional Lean approaches such as 5S, Kaizen, Value Stream Mapping (VSM), Standard Work, Overall Equipment Effectiveness (OEE), and continuous improvement. Participants will learn how AI-assisted analysis can help uncover patterns in production data, monitor operational performance, anticipate potential issues, and support faster problem-solving.

With a strong emphasis on hands-on and real-life manufacturing applications, learners will work through practical exercises and improvement scenarios that demonstrate how AI can complement human expertise on the production floor. By the end of the course, participants will be able to apply Lean and AI techniques together to identify improvement opportunities, streamline manufacturing workflows, reduce operational waste, and contribute to smarter, more efficient manufacturing operations.

This course is part of our AI training in Malaysia, where you can browse all our AI courses. See more AI applications courses.

Why Take This Course?

  • Hands-On Learning Learn by doing. Every topic is practised hands-on, so you leave with skills you can use at work straight away.
  • Live Coaching Experienced instructors coach you live, answer your questions and guide you step by step.
  • Free Post-Course Consultation Stuck after class? Message your trainer any time for guidance as you apply what you have learned.
  • Always-Updated Materials Materials are refreshed to stay relevant. Log in to our LMS any time to get the latest version.
HRD Corp Claimable

🏦 HRD Corp Claimable

This course is HRD Corp claimable for eligible employers. Grant approval and reimbursement remain subject to HRD Corp requirements, the employer’s available levy and the approved grant details. How the HRD Corp process works →

Course Fee

MYR2,200.00
+ 8% SST

Course Date

Course Time

* Required Fields

Course fees are shown before SST. An 8% SST is included in the estimated total during registration.

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1: AI-Assisted Lean Manufacturing Fundamentals and Waste Reduction

Topic 2: AI for Inventory Classification and Kanban Optimisation

Topic 3: AI-Enabled Production, Inventory and Material Flow Control

Topic 4: AI for Lean Implementation, Performance and Preventive Maintenance

Course Info

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Minimum Software/Hardware Requirement

Software:

You will need the following for this course:

Hardware: Windows PC or Mac laptop

How to Apply HRD Corp Funding

This course is HRD Corp claimable for employers registered with HRD Corp, under the HRD Corp Claimable Courses scheme (SBL-Khas). Your company applies for the grant before the class; we submit the training provider claim after it.

  1. Check your levy balance - your company must be registered with HRD Corp and have enough levy balance to cover the course fee.
  2. Request a quotation - contact us for the quotation, course content and trainer profile; you attach these to the grant application.
  3. Apply for the grant in eTRiS before the class - log in to your employer eTRiS account, go to Application > Grant > Apply Grant, choose the scheme HRD Corp Claimable Courses (SBL-Khas), select us as the training provider and this course, add your trainees, attach the quotation, course content and trainer profile, and submit.
  4. Submit in time - for public classes, submit at least 3 calendar days before the class (15 June to 31 December 2026) and at least 14 days before from 1 January 2027; in-house classes need 14 days. The training must start within 90 days of that advance submission period.
  5. Send us the grant approval - once HRD Corp approves the application, email us the grant ID so we can confirm your seats.
  6. Attend the class - trainees sign the daily attendance (T3) form.
  7. Claim after the class - we submit the training provider claim in eTRiS with the attendance and invoice; you then complete the employer claim and sign the JD/14 form (manager level or above). Claims must be submitted within 6 months of the training.

More details: our HRD Corp Claimable Courses page and the HRD Corp employer guidelines.

Job Roles

Job Roles

  • Production Manager
  • Operations Manager
  • Manufacturing Engineer
  • Process Engineer
  • Quality Assurance Manager
  • Plant Manager
  • Continuous Improvement Coordinator
  • Supply Chain Manager
  • Production Supervisor
  • Inventory Control Specialist
  • Logistics Coordinator
  • Six Sigma Specialist
  • Industrial Engineer
  • Operational Excellence Manager
  • Factory Floor Supervisor
  • Maintenance Engineer
  • Manufacturing Data Analyst
  • Smart Manufacturing Executive
  • Production Planner
  • Business Owner

Trainers

Trainers

Lean thinking and software engineering share a common habit, which is mapping a process, finding the waste and fixing it, and Dr. Alfred Ang applies that habit daily. Dr. Ang is a full-stack AI developer, Agentic AI solution architect, corporate trainer and CTO of Tertiary Infotech Academy Pte Ltd in Singapore, building intelligent agents and business solutions end-to-end across front end, back end, databases, cloud deployment and native mobile apps. More than 300 public repositories on GitHub record that work, and several map neatly onto the shop floor. The sipoc project is a guided SIPOC and process map builder for Lean Six Sigma that enforces a five-to-seven step rule and tags pain points, turning a classic improvement tool into an interactive one. For materials and stock, Dr. Ang built n8n-inventorycontrol, an AI inventory audit and forecasting agent in which a local large language model running through Ollama reads stock levels and flags items that need attention, as well as a warehouse inventory dashboard with derived stock status and filterable tables. An ERP prototype handles purchase orders with human-in-the-loop approvals, while iotplatform, a low-code, self-hosted IoT platform powered by n8n, connects Arduino, ESP32 and Raspberry Pi devices over MQTT and HTTP for real-time monitoring and control. Dr. Ang has also built visual Kanban boards with drag-and-drop status tracking, so pull-based flow is familiar territory as well. Seeing these tools run in practice helps Dr. Ang explain clearly where AI saves time on the shop floor and where simpler fixes work better.

In AI for Lean Manufacturing, those projects become live examples rather than abstract theory. The course opens with AI-assisted Lean fundamentals and waste reduction, where Dr. Ang shows how generative AI can speed up value stream mapping, root-cause analysis and the identification of the classic forms of waste. Learners then apply AI to inventory classification and Kanban optimisation, using prompts and simple data analysis to sort items by value and usage, size buffers and review replenishment signals. The third topic looks at AI-enabled production, inventory and material flow control, drawing on the forecasting agent and dashboard work to show how data from the floor can trigger timely decisions instead of end-of-month surprises. The final topic covers Lean implementation, performance tracking and preventive maintenance, including how sensor data and connected devices can warn of problems before a line stops. Dr. Ang teaches through demonstrations, worked scenarios and guided exercises that participants can adapt to their own plant, warehouse or workshop, and no coding background is needed to benefit. Throughout the course, Dr. Ang stresses that AI should support, not replace, the judgement of people closest to the work, keeping supervisors and operators in control of every change. Participants who want a closer look at the process-mapping, inventory and IoT projects mentioned in class can explore Dr. Small-group activities encourage engineers, supervisors and planners to compare ideas and pick one realistic improvement to pilot after the course. Ang's portfolio at https://github.com/alfredang.

Review

Customer Reviews (10)

Would attend again Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Great course materials and well-paced lessons. The exercises really helped me understand the topic. (Posted on 13/03/2026)
Well structured course Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Excellent delivery and good balance between theory and practice. Learned a lot in a short time. (Posted on 28/01/2026)
Hands-on and practical Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Excellent delivery and good balance between theory and practice. Learned a lot in a short time. (Posted on 17/07/2025)
Exceeded my expectations Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The course materials were detailed and easy to reference afterwards. Great value for money. (Posted on 17/07/2025)
Excellent course Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 10/07/2025)

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