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Course Outline

Intro to AI in Chip Manufacturing

  • Landscape of AI applications in the semiconductor sector
  • The significance of AI in process refinement
  • Reviews of successful AI integration cases

Core Concepts of Process Optimization

  • Basics of optimization methodologies
  • Primary hurdles in semiconductor fabrication
  • The value of data-informed decision making

AI Strategies for Yield Improvement

  • Identifying yield bottlenecks in chip production
  • Building AI models to forecast and boost yield
  • Practical instances of AI-driven yield gains

AI-Based Defect Identification

  • Overview of AI techniques for spotting defects
  • Employing machine learning for defect classification and detection
  • Enhancing process reliability via AI surveillance

Refining Process Parameters

  • How process variables affect chip fabrication
  • Utilizing AI to adjust key operational parameters
  • Case examples of AI-optimized parameter tuning

AI Software and Technologies

  • Survey of AI tools applicable to process optimization
  • Practical work with TensorFlow, Python, and Matplotlib
  • Building optimization models in a lab context

Emerging AI Trends in Semiconductor Manufacturing

  • New AI advancements in chip fabrication
  • Future pathways in AI-led process optimization
  • Getting ready for AI innovations in the industry

Recap and Recommended Next Steps

Requirements

  • Familiarity with semiconductor manufacturing operations
  • Foundational understanding of AI and machine learning principles
  • Proficiency in data analysis

Target Audience

  • Process engineers
  • Professionals in semiconductor manufacturing
  • AI experts within the semiconductor industry
 14 Hours

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (3)

I really liked the end where we took the time to play around with CHAT GPT. The room was not set up the best for this- instead of one large table a couple of small ones so we could get into small groups and brainstorm would have helped

Nola - Laramie County Community College
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

That it was applying real company data. Trainer had a very good approach by making trainees participate and compete

Jimena Esquivel - Zaklad Uslugowy Hakoman Andrzej Cybulski
Course - Applied AI from Scratch in Python

Upcoming Courses

AI-Driven Process Optimization in Chip Fabrication

2026-10-23 09:30
14 hours
Empire Tower
63214 THB (Online)
63214 THB (Classroom)

AI-Driven Process Optimization in Chip Fabrication

2026-11-06 09:30
14 hours
Empire Tower
63214 THB (Online)
63214 THB (Classroom)

AI-Driven Process Optimization in Chip Fabrication

2026-11-20 09:30
14 hours
Empire Tower
63214 THB (Online)
63214 THB (Classroom)

AI-Driven Process Optimization in Chip Fabrication

2026-12-04 09:30
14 hours
Empire Tower
63214 THB (Online)
63214 THB (Classroom)

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