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 Duration 14 hours

Course Outline

Introduction to AI in Chip Fabrication

  • Overview of AI applications within semiconductor manufacturing
  • Examining the contribution of AI to process optimization
  • Review of case studies highlighting successful AI integrations

Fundamentals of Process Optimization

  • Introduction to core optimization techniques
  • Key challenges encountered in semiconductor fabrication
  • The impact of data-driven decision-making on optimization efforts

AI Techniques for Yield Enhancement

  • Understanding the complexities of yield in chip fabrication
  • Deploying AI models to forecast and elevate yield performance
  • Real-world instances of AI-driven yield improvements

Defect Detection Leveraging AI

  • Introduction to AI-based methods for defect identification
  • Applying machine learning to detect and categorize defects
  • Enhancing process reliability through AI-assisted detection

Process Parameter Tuning

  • Understanding how process parameters influence chip fabrication
  • Utilizing AI to optimize critical process variables
  • Case studies illustrating AI-driven parameter adjustments

AI Tools and Technologies

  • Overview of AI tools essential for process optimization
  • Hands-on sessions with TensorFlow, Python, and Matplotlib
  • Building optimization models within a laboratory setting

Future Trends in AI for Semiconductor Manufacturing

  • Emerging AI technologies shaping chip fabrication
  • Future trajectories in AI-driven process optimization
  • Preparing for upcoming AI advancements in the semiconductor industry

Summary and Next Steps

Requirements

  • Familiarity with semiconductor manufacturing workflows
  • Foundational knowledge of AI and machine learning principles
  • Practical experience 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

2026-11-30 09:30
14 hours
Riga, Old Town
3000 EUR (Online)
3400 EUR (Classroom)

AI-Driven Process Optimization in Chip Fabrication

2026-12-14 09:30
14 hours
Riga, Old Town
3000 EUR (Online)
3400 EUR (Classroom)

AI-Driven Process Optimization in Chip Fabrication

2026-12-28 09:30
14 hours
Riga, Old Town
3000 EUR (Online)
3400 EUR (Classroom)

AI-Driven Process Optimization in Chip Fabrication

2027-01-11 09:30
14 hours
Riga, Old Town
3000 EUR (Online)
3400 EUR (Classroom)

AI-Driven Process Optimization in Chip Fabrication

2027-01-25 09:30
14 hours
Riga, Old Town
3000 EUR (Online)
3400 EUR (Classroom)

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