About this online course


Get up to speed on AI in Manufacturing and learn how to use it within your own organization. A course for manufacturing professionals who are curious about AI, and want to see the possibilities for real world implementation.

This course is designed to bring you up to speed on AI in manufacturing in a very short space of time.  How is this possible?  It’s because the course isn’t designed to make you an AI developer; rather it builds on the professional experience you already have. It shows you how you can apply AI to your business in ways that truly improve efficiency, effectiveness, and that help your company thrive. The course offers real, start to finish project demonstrations, shows what obstacles you might encounter along the way, and shares the tips and tricks needed to make AI work well.

This course is for active and ambitious professionals in the manufacturing industry, who have a management role or own a process.  Participants can be from a wide variety of disciplines: manufacturing, operations, maintenance, business office, finance/accounting, supply chain, logistics etc.

In this course, you will gain a high-level overview of what AI is, what it can and can’t do today, in which key problem areas AI is good at providing solutions, and what the next 5-10 years might bring in additional capabilities. You will then explore several different real-world scenarios that apply AI in a manufacturing environment and discuss some of the challenges faced.  We will look at expected costs for an AI project, as well as the expected benefits from cost and time savings, and revenue growth.

At the core of the course, you learn about common methods in AI in manufacturing. For each methods you will obtain a basic overview, review a case study, and reflect on how you could apply it in your own setting: 

Classification – includes classifying different items from photos, text, sounds, signals, or other inputs through various sensors (temperature, strain gauges etc.). How to deal with the vast amount of data obtained? Think about using this method for decision trees to spot, analyze and avoid future errors during the manufacturing process. Algorithm spotlight: Support Vector Machine (SVM). 


Prediction – use of regressions to analyze past data for applications such as predictive maintenance (to avoid failure of equipment); on-time delivery and manufacturing rate. Algorithm spotlight: linear regression and gradient descent. 



Optimization – improving our algorithms to increase production. From all the input we have and the data we collect, which "knob" should we turn to improve our processes? How can algorithms help us here? Algorithm spotlight: Neutral Network.



In addition, you will be introduced to ethical issues that arise when applying AI, such as malicious use, transparency (can we trust a system we do not understand?) and threat to jobs. 

Our goal for you is not to make you an expert in AI by the end of the course.  Rather, it is to help you understand how AI could solve real problems you are facing within your organization and give you the knowledge and skills to guide your company’s technical team toward solutions that will make the most difference.

What You'll Learn:

At the end of this course, you will be able to:

  • Explain the basic elements of AI.
  • Explain how AI can be used to improve business processes.
  • Evaluate for your company what processes could be improved with AI-driven defect analysis.
  • Discuss the ethical implications related to certain AI projects.
  • Evaluate for your company what safety processes could be improved with AI-driven imagery analysis.
  • Analyze creative ways to use AI in situations that are not well controlled (outside, dirty, disorganized, etc.).
  • Create a roadmap for applying AI to your own organization.


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Course Syllabus

Week 1

  • A Brief History of AI
  • AI Overview: What Is It, and What Can It Do?
  • Key Challenges for Implementing AI in an Organization
  • What is a Cat?
  • Who Are You and Why Are You Here?


Week 2

  • AI Methods in Depth: Classification
  • Project 1:  Back Office; Predicting Customer's Likelihood of Paying
  • Live Stream Q&A 1

Week 3

  • AI Methods in Depth:  Prediction
  • Project 2:  Identifying Defects

Week 4

  • AI Methods in Depth: Optimization
  • Project 3:  Hardhat Detector
  • Live Stream Q&A 2

Week 5

  • Great Power, Great Responsibility: The Ethics of AI
  • Project 4:  Planning a Solution to a Messy Problem

Week 6

  • Your Turn:  How to Bring AI to Your Organization
  • Live Stream Q&A 3
  • Major AI Fails, and What We Can Learn from Them
  • Daily AI Applications
  • Next Steps: What will you do with this knowledge?


Certificates and CEUs

Professional education course with verified certificate.

The TU Delft Extension School offers Continuing Education Units for this course. If you successfully complete the course requirements you will earn a Certificate of Completion and are eligible to receive 3.0 Continuing Education Units (CEUs).

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No specific technical prerequisites. Experience in manufacturing is highly recommended. Participants will benefit most from the course if they are a process owner within their organization or are in a management position overseeing various processes.


If you have any questions about this course or the TU Delft online learning environment, please visit our Help & Support page.

Enroll now Enroll with STAP

  • Starts: May 31, 2023
  • Fee: €695
  • Group fee: contact us
  • Enrollment open until: May 24, 2023
  • Length: 6 weeks
  • Effort: 4 - 5 hours per week
  • Max. number of participants: 30

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