TU Delft
TU Delft Logo

AI in Manufacturing 
offered by TU Delft

  • Public University
  • Institute Icon397 acre campus
  • Estd. 1842

AI in Manufacturing
 at 
TU Delft 
Overview

Learn how you can apply AI to your business in ways that truly improve efficiency, effectiveness, and that help your company thrive

Duration

6 weeks

Total fee

57,034

Mode of learning

Online

Course Level

UG Certificate

AI in Manufacturing
 at 
TU Delft 
Highlights

  • Earn a certificate of completion from Delft University of Technology
Details Icon

AI in Manufacturing
 at 
TU Delft 
Course details

Who should do this course?
  • For active and ambitious professionals
What are the course deliverables?
  • 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
More about this course
  • This course is designed to bring you up to speed on AI in manufacturing in a very short space of time
  • 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
  • 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
Read more

AI in Manufacturing
 at 
TU Delft 
Curriculum

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?

Faculty Icon

AI in Manufacturing
 at 
TU Delft 
Faculty details

Nathan Eskue
Nathan Eskue is Associate Professor in the Faculty of Aerospace Engineering at TU Delft, specializing in AI, robotics, manufacturing, project/business management, and rapid iteration prototyping. He holds degrees in business information systems, marketing, operations management, an MBA, and a Master of Science in Data Science from Columbia University.

AI in Manufacturing
 at 
TU Delft 
Entry Requirements

Eligibility criteriaUp Arrow Icon
Conditional OfferUp Arrow Icon
  • Yes

Other courses offered by TU Delft

Star Icon4.624 months
A++ Shiksha Grade
#3 QS
11
  • Sep' 25
19.18 L
36 months
A++ Shiksha Grade
Minimum 75%
  • Sep' 25
14.9 L
24 months
A++ Shiksha Grade
#3 QS
– / –
    – / –
19.18 L
24 months
A++ Shiksha Grade
#3 QS
– / –
  • Sep' 25
19.18 L
View Other 56 CoursesRight Arrow Icon

AI in Manufacturing
 at 
TU Delft 
 
Popular & recent articles

View more articles

AI in Manufacturing
 at 
TU Delft 
Contact Information

Address

Mekelweg 2, 2628 CD Delft, Netherlands
Delft ( Other - Netherlands)

Go to College Website ->