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 Duration 14 hours

Course Outline

Introduction to AI in Chip Fabrication

  • Survey of AI applications in semiconductor manufacturing
  • Exploring the role of AI in process optimization
  • Case studies of successful AI implementations

Fundamentals of Process Optimization

  • Introduction to process optimization techniques
  • Key challenges in semiconductor fabrication
  • The importance of data-driven decision-making in optimization

AI Techniques for Yield Enhancement

  • Understanding yield challenges in chip fabrication
  • Deploying AI models to predict and enhance yield
  • Real-world examples of AI-driven yield enhancement

Defect Detection Using AI

  • Introduction to AI-based defect detection methods
  • Leveraging machine learning to identify and classify defects
  • Enhancing process reliability through AI-driven detection

Process Parameter Tuning

  • Understanding the impact of process parameters on chip fabrication
  • Using AI to optimize key process parameters
  • Case studies on AI-driven process parameter tuning

AI Tools and Technologies

  • Survey of AI tools relevant to process optimization
  • Hands-on practice with TensorFlow, Python, and Matplotlib
  • Implementing optimization models in a lab environment

Future Trends in AI for Semiconductor Manufacturing

  • Emerging AI technologies in chip fabrication
  • Future directions in AI-driven process optimization
  • Preparing for AI advancements in semiconductor industries

Summary and Next Steps

Requirements

  • Familiarity with semiconductor manufacturing processes
  • Foundational knowledge of AI and machine learning
  • Proficiency in data analysis

Target Audience

  • Process engineers
  • Professionals in semiconductor manufacturing
  • AI specialists within the semiconductor sector

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (2)

Getting people that never used AI some repetition in prompting and people that do use AI to consider different methods to using it.

Matthew Gay - Tarsus Pharmaceuticals
Course - Artificial Intelligence (AI) Overview

Working from first principles in a focused way, and moving to applying case studies within the same day

Maggie Webb - Department of Jobs, Regions, and Precincts
Course - Artificial Neural Networks, Machine Learning, Deep Thinking

Upcoming Courses

AI-Driven Process Optimization in Chip Fabrication

2026-10-21 10:00
14 hours
Seoul - Gran Seoul
₩ 5000000 (Online)
₩ 10000000 (Classroom)

AI-Driven Process Optimization in Chip Fabrication

2026-11-04 10:00
14 hours
Seoul Center 1
₩ 5000000 (Online)
₩ 10000000 (Classroom)

AI-Driven Process Optimization in Chip Fabrication

2026-11-18 10:00
14 hours
Jungang-Dong Center
₩ 5000000 (Online)
₩ 10000000 (Classroom)

AI-Driven Process Optimization in Chip Fabrication

2026-12-02 10:00
14 hours
Seoul - Gran Seoul
₩ 5000000 (Online)
₩ 10000000 (Classroom)

AI-Driven Process Optimization in Chip Fabrication

2026-12-16 10:00
14 hours
Seoul Center 1
₩ 5000000 (Online)
₩ 10000000 (Classroom)

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