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 Duration 21 hours

Course Outline

Introduction to AI in Semiconductor Design Automation

  • Overview of AI applications in EDA tools.
  • Challenges and opportunities in AI-driven design automation.
  • Case studies of successful AI integration in semiconductor design.

Machine Learning for Design Optimization

  • Introduction to machine learning techniques for design optimization.
  • Feature selection and model training for EDA tools.
  • Practical applications in design rule checking and layout optimization.

Neural Networks in Chip Verification

  • Understanding neural networks and their role in chip verification.
  • Implementing neural networks for error detection and correction.
  • Case studies on the use of neural networks in EDA tools.

Advanced AI Techniques for Power and Performance Optimization

  • Exploring AI techniques for power and performance analysis.
  • Integrating AI models to optimize power efficiency.
  • Real-world examples of AI-driven performance enhancement.

EDA Tool Customization with AI

  • Customizing EDA tools with AI to address specific design challenges.
  • Developing AI plugins and modules for existing EDA platforms.
  • Hands-on practice with popular EDA tools and AI integration.

Future Trends in AI for Semiconductor Design

  • Emerging AI technologies in semiconductor design automation.
  • Future directions in AI-driven EDA tools.
  • Preparing for advancements in AI and semiconductor industries.

Summary and Next Steps

Requirements

  • Experience with semiconductor design and EDA tools.
  • Advanced knowledge of AI and machine learning techniques.
  • Familiarity with neural networks.

Audience

  • Semiconductor design engineers.
  • AI specialists within the semiconductor industry.
  • Developers of EDA tools.

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

Advanced AI Techniques for Semiconductor Design Automation

2026-10-20 09:30
21 hours
Antalya
29025 TRY (Online)
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Advanced AI Techniques for Semiconductor Design Automation

2026-11-03 09:30
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Advanced AI Techniques for Semiconductor Design Automation

2026-11-17 09:30
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Advanced AI Techniques for Semiconductor Design Automation

2026-12-01 09:30
21 hours
Antalya
29025 TRY (Online)
29625 TRY (Classroom)

Advanced AI Techniques for Semiconductor Design Automation

2026-12-15 09:30
21 hours
Istanbul, Taksim
29025 TRY (Online)
29625 TRY (Classroom)

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