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 Duration 14 hours

Course Outline

Introduction to AI in Chip Fabrication

  • Overview of AI applications across semiconductor manufacturing.
  • Exploring the pivotal role of AI in process optimization.
  • Reviewing case studies of successful AI integrations.

Fundamentals of Process Optimization

  • Introduction to core process optimization techniques.
  • Identifying key challenges in semiconductor fabrication.
  • The importance of data-driven decision-making in optimization strategies.

AI Techniques for Yield Enhancement

  • Understanding yield challenges specific to chip fabrication.
  • Implementing AI models to predict trends and improve yield outcomes.
  • Examining real-world examples of AI-driven yield improvements.

Defect Detection Using AI

  • Introduction to AI-based defect detection methodologies.
  • Utilizing machine learning to identify and classify manufacturing defects.
  • Enhancing process reliability through AI-driven detection systems.

Process Parameter Tuning

  • Understanding how process parameters influence chip fabrication quality.
  • Leveraging AI to optimize critical process parameters.
  • Analyzing case studies on AI-driven parameter tuning.

AI Tools and Technologies

  • Overview of essential AI tools for process optimization.
  • Hands-on practice using TensorFlow, Python, and Matplotlib.
  • Building and deploying optimization models in a lab setting.

Future Trends in AI for Semiconductor Manufacturing

  • Exploring emerging AI technologies in chip fabrication.
  • Anticipating future directions in AI-driven process optimization.
  • Preparing for upcoming advancements in the semiconductor industry.

Summary and Next Steps

Requirements

  • Foundational understanding of semiconductor manufacturing processes.
  • Fundamental knowledge of AI and machine learning concepts.
  • Prior experience in data analysis.

Target Audience

  • Process engineers.
  • Professionals in semiconductor manufacturing.
  • AI specialists working 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

2026-11-19 09:30
14 hours
København, Copenhagen
3472 EUR (Online)
3872 EUR (Classroom)

AI-Driven Process Optimization in Chip Fabrication

2026-12-03 09:30
14 hours
Copenhagen, City Center
3472 EUR (Online)
3872 EUR (Classroom)

AI-Driven Process Optimization in Chip Fabrication

2026-12-17 09:30
14 hours
København, Copenhagen
3472 EUR (Online)
3872 EUR (Classroom)

AI-Driven Process Optimization in Chip Fabrication

2026-12-31 09:30
14 hours
Copenhagen, City Center
3472 EUR (Online)
3872 EUR (Classroom)

AI-Driven Process Optimization in Chip Fabrication

2027-01-14 09:30
14 hours
København, Copenhagen
3472 EUR (Online)
3872 EUR (Classroom)

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