Course Outline

Introduction to Artificial Intelligence in Semiconductor Design Automation

  • Overview of AI Applications in Electronic Design Automation (EDA) Tools for Government
  • Challenges and Opportunities in AI-Driven Design Automation for Government
  • Case Studies of Successful AI Integration in Semiconductor Design for Government

Machine Learning for Design Optimization for Government

  • Introduction to Machine Learning Techniques for Design Optimization in the Public Sector
  • Feature Selection and Model Training for EDA Tools for Government
  • Practical Applications in Design Rule Checking and Layout Optimization for Government

Neural Networks in Chip Verification for Government

  • Understanding Neural Networks and Their Role in Chip Verification for Government
  • Implementing Neural Networks for Error Detection and Correction for Government
  • Case Studies on the Use of Neural Networks in EDA Tools for Government

Advanced AI Techniques for Power and Performance Optimization for Government

  • Exploring AI Techniques for Power and Performance Analysis for Government
  • Integrating AI Models to Optimize Power Efficiency for Government
  • Real-World Examples of AI-Driven Performance Enhancement for Government

EDA Tool Customization with AI for Government

  • Customizing EDA Tools with AI for Specific Design Challenges in the Public Sector
  • Developing AI Plugins and Modules for Existing EDA Platforms for Government
  • Hands-On Practice with Popular EDA Tools and AI Integration for Government

Future Trends in AI for Semiconductor Design for Government

  • Emerging AI Technologies in Semiconductor Design Automation for Government
  • Future Directions in AI-Driven EDA Tools for Government
  • Preparing for Advancements in AI and the Semiconductor Industries for Government

Summary and Next Steps for Government

Requirements

  • Experience in semiconductor design and Electronic Design Automation (EDA) tools for government applications
  • Advanced knowledge of artificial intelligence and machine learning techniques
  • Familiarity with neural networks

Audience

  • Semiconductor design engineers for government projects
  • AI specialists in the semiconductor industry
  • EDA tool developers for government use
 21 Hours

Number of participants


Price per participant

Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.

Testimonials (2)

the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose

Guillaume GAUTIER - OLEA MEDICAL
Course - MLflow

I enjoyed participating in the Kubeflow training, which was held remotely. This training allowed me to consolidate my knowledge for AWS services, K8s, all the devOps tools around Kubeflow which are the necessary bases to properly tackle the subject. I wanted to thank Malawski Marcin for his patience and professionalism for training and advice on best practices. Malawski approaches the subject from different angles, different deployment tools Ansible, EKS kubectl, Terraform. Now I am definitely convinced that I am going into the right field of application.

Guillaume Gautier - OLEA MEDICAL | Improved diagnosis for life TM
Course - Kubeflow

Upcoming Courses

Advanced AI Techniques for Semiconductor Design Automation

2026-03-25 09:30
21 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 4054 (Online)
$ 5854 (Classroom)

Advanced AI Techniques for Semiconductor Design Automation

2026-04-08 09:30
21 hours
Wilmington, DE – Regus at Brandywine Building
$ 4054 (Online)
$ 5854 (Classroom)

Advanced AI Techniques for Semiconductor Design Automation

2026-04-22 09:30
21 hours
Indianapolis, IN - Lockerbie Marketplace
$ 4054 (Online)
$ 5854 (Classroom)

Advanced AI Techniques for Semiconductor Design Automation

2026-05-06 09:30
21 hours
IA, Johnston - Regus - Foxboro Square
$ 4054 (Online)
$ 5854 (Classroom)

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