hjwang1905

The electronics and semiconductor industry is a field where data-driven management and innovation are particularly crucial due to ultra-precision processes and complex supply chains. This course covers practical strategies that can be directly applied in electronics and semiconductor manufacturing, including defect detection, process optimization, predictive maintenance, and supply chain management using AI technology.

Along with real-world cases from global companies, the course also presents low-cost, high-efficiency AI implementation methods that small and medium-sized enterprises can realistically utilize. Through this, students will be able to understand and apply AI-based manufacturing strategies that not only improve productivity and reduce costs, but also build future competitiveness.

88888

AI-Driven Practical Implementation Strategies for Manufacturing Industry (Electronics/Semiconductor Sector)

ai in practice

AI 활용법

스마트팩토리

빅데이터

업무혁신

딥러닝머신러닝

입문

초급

중급이상

Big Data

Generative AI

Machine Learning(ML)

Deep Learning(DL)

Understanding AI and Manufacturing

AI Data Characteristics and Application Areas

AI Adoption Strategy and Implementation

AI Adoption Barriers and Performance Management

AI Domestic and International Cases and Future Prospects

The Convergence of Electronics and Semiconductor Industries with AI

Data and Process Management Innovation

Production Optimization and Predictive Maintenance

Industrial Applications and Future Prospects