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Understanding Smart Factories in the AI Era (Beginner’s Guide)

📢 "What happens when AI is added to a factory?" 🤖 The era of traditional manufacturing is over; we are now in the age of AI- and data-driven smart factories! For those who have been wondering "what exactly is a smart factory?" and those who want to know "how AI technology is actually applied on the manufacturing floor," we have prepared a very easy-to-understand and clear introductory lecture.

2 learners are taking this course

Level Beginner

Course period Unlimited

AI
AI
ChatGPT
ChatGPT
Business Productivity
Business Productivity
Machine Learning(ML)
Machine Learning(ML)
Deep Learning(DL)
Deep Learning(DL)
AI
AI
ChatGPT
ChatGPT
Business Productivity
Business Productivity
Machine Learning(ML)
Machine Learning(ML)
Deep Learning(DL)
Deep Learning(DL)

What you will gain after the course

  • Core Concept of Smart Factories

  • AI-powered data utilization

  • On-Site Success Stories

  • Future Manufacturing Trends

"What Happens When You Add AI to a Factory": A Crash Course in Smart Factories


📑 1. What will you learn?
1) Factory intelligence • The principles behind AI making its own decisions, going beyond repetitive machine automation

2) AI for detecting defects • 'Machine vision' technology that detects defects using camera footage

3) Predictive maintenance AI • “Predictive maintenance” technology that uses sensor data to predict equipment failures in advance

4) Successful On-Site Cases • Real-world examples of companies adopting smart factories and future trends


🏭 2. Where is it mainly used?

1) Semiconductors and Displays • Ultra-fine defect inspection and yield improvement

2) Automotive and secondary batteries • Robot assembly line optimization and 100% battery inspection

3) Chemicals, pharmaceuticals, food, and beverages • Real-time temperature and pressure control, as well as automated hygiene and inventory management

3) Smart Logistics • Automated material transport using unmanned robots (AGV/AMR)


The 'Understanding Smart Factories in the AI Era (Beginner Course)' lecture has four key features.

💡 1. A 'Zero'-based course tailored for non-majors

  • Easy to understand without math or coding • This beginner-friendly course can be taken without any knowledge of complex formulas or the Python programming language.

  • Easy-to-understand terminology • Difficult IT and manufacturing terms are explained through everyday analogies and examples to lower the barrier to entry.

🏭 2. A ‘condensed’ curriculum focused on core technologies

  • All the essentials • We focus on the essential AI technologies most widely used in the field, such as machine vision (defect inspection) and predictive maintenance (failure prediction), and deliver the core concepts.

  • Flow-based learning • Gain an intuitive understanding of the entire process that drives a smart factory, from data collection and analysis to on-site implementation.

🚀 3. Vivid “field-focused” case analysis

  • Real-world success stories • Analyze outstanding cases in which leading companies in Korea and abroad, including semiconductor, automotive, and battery companies, actually adopted artificial intelligence to improve yields.

  • Trend Master • Going beyond simple automation, it provides a clear overview of the latest trends in Autonomous Manufacturing and the future of digital twins.

🎯 4. Provides immediately applicable 'practical insights'

  • The first step in DX planning • Builds the foundational skills needed for planners and managers responsible for internal digital transformation (DX) initiatives to create smart factory adoption plans.

  • The key to getting hired or changing jobs • Provides trend knowledge that will help those preparing for careers in manufacturing and related IT industries stand out in interviews and personal statements.



Recommended for the following people

Non-majors & job seekers

Those aiming to build essential trend knowledge with the goal of finding employment at manufacturing or IT companies


Manufacturing industry field practitioners

Those who want to introduce AI and smart systems into production, quality, and process management tasks


IT Planning and Management Positions

Those responsible for digital transformation (DX) initiatives or smart factory implementation plans at their factories


The person who created this course

  • Try focusing on your background and experience that are closely related to the course topic.

  • Rather than listing every detail of your background, it’s best to convey the thought process and motivation behind creating this course.

  • Capture attention with concise writing alongside a portfolio, videos, photos, and more.

Notes Before Taking the Course

Notes

  • We would like to inform you that the knowledge sharer personally handled the entire process of this course, from the initial planning of the work to the creation of the course materials.

  • Please note that, to enhance the quality of the course, generative AI was used as an auxiliary tool.

  • The voice included in the video is the knowledge sharer’s own voice, which has been modified and edited.

Learning materials

  • Format of the learning materials provided (PPT, cloud links, text, source code, assets, programs, sample problems, etc.)

  • Length and file size, characteristics and notes regarding other learning materials, etc.

Prerequisite Knowledge and Notes

  • Required prerequisite knowledge considering the learning difficulty

  • Information directly related to taking the course, such as lecture video quality (audio/video), and recommended study methods

  • Questions/answers and information regarding future updates

  • Copyright notices regarding the course and study materials

Recommended for
these people

Who is this course right for?

  • Those preparing to find a job or change careers in the fields of smart factories and manufacturing AI

  • Executives and employees of small and medium-sized enterprises that want to introduce smart systems to their factories

  • For those who want to understand the trend of AI, big data, and IoT technologies converging with manufacturing

  • • A university student majoring in a related field who wants to learn about real-world industry processes firsthand

Need to know before starting?

  • Math and coding knowledge: Not required at all (Zero)

  • Manufacturing & AI Knowledge: Starting from the Basics (Welcome All)

Hello
This is djshin08317101

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Curriculum

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31 lectures ∙ (15hr 6min)

Course Materials:

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