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 Duration 21 hours

Course Outline

Introduction to AI in Semiconductor Design Automation

  • An overview of AI applications within EDA toolsets
  • Key challenges and emerging opportunities in AI-led design automation
  • Analysis of successful AI integration cases in semiconductor design

Machine Learning for Design Optimization

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

Neural Networks in Chip Verification

  • Understanding neural networks and their impact on chip verification
  • Implementing neural networks for precise error detection and correction
  • Case studies illustrating neural network usage in EDA environments

Advanced AI Techniques for Power and Performance Optimization

  • Exploring AI methods for detailed power and performance analysis
  • Integrating AI models to maximize power efficiency
  • Real-world examples of performance improvements driven by AI

EDA Tool Customization with AI

  • Tailoring EDA tools with AI to address specific design complexities
  • Developing AI plugins and modules for established EDA platforms
  • Hands-on practice integrating AI with popular EDA tools

Future Trends in AI for Semiconductor Design

  • Emerging AI technologies shaping the future of semiconductor design automation
  • Future trajectory of AI-driven EDA tools
  • Preparing for upcoming advancements in the AI and semiconductor industries

Summary and Next Steps

Requirements

  • Practical experience in semiconductor design and proficiency with EDA tools
  • Deep understanding of AI and machine learning principles
  • Knowledge of neural network architectures and applications

Target Audience

  • Semiconductor design engineers
  • AI specialists working within the semiconductor sector
  • Developers creating EDA tools and platforms

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

2026-11-16 09:30
21 hours
København, Copenhagen
5208 EUR (Online)
5808 EUR (Classroom)

Advanced AI Techniques for Semiconductor Design Automation

2026-11-30 09:30
21 hours
Copenhagen, City Center
5208 EUR (Online)
5808 EUR (Classroom)

Advanced AI Techniques for Semiconductor Design Automation

2026-12-14 09:30
21 hours
København, Copenhagen
5208 EUR (Online)
5808 EUR (Classroom)

Advanced AI Techniques for Semiconductor Design Automation

2026-12-28 09:30
21 hours
Copenhagen, City Center
5208 EUR (Online)
5808 EUR (Classroom)

Advanced AI Techniques for Semiconductor Design Automation

2027-01-11 09:30
21 hours
København, Copenhagen
5208 EUR (Online)
5808 EUR (Classroom)

Advanced AI Techniques for Semiconductor Design Automation

2027-01-25 09:30
21 hours
Copenhagen, City Center
5208 EUR (Online)
5808 EUR (Classroom)

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