Course Outline

Introduction to Artificial Intelligence in Chip Fabrication

  • Overview of AI applications in semiconductor manufacturing for government
  • Understanding the role of AI in process optimization for government
  • Case studies of successful AI implementations for government

Fundamentals of Process Optimization

  • Introduction to process optimization techniques for government
  • Key challenges in semiconductor fabrication for government
  • The role of data-driven decision-making in optimization for government

AI Techniques for Yield Enhancement

  • Understanding yield challenges in chip fabrication for government
  • Implementing AI models to predict and improve yield for government
  • Real-world examples of AI-driven yield enhancement for government

Defect Detection Using AI

  • Introduction to AI-based defect detection methods for government
  • Using machine learning to identify and classify defects for government
  • Improving process reliability through AI-driven detection for government

Process Parameter Tuning

  • Understanding the impact of process parameters on chip fabrication for government
  • Using AI to optimize key process parameters for government
  • Case studies on AI-driven process parameter tuning for government

AI Tools and Technologies

  • Overview of AI tools relevant to process optimization for government
  • Hands-on practice with TensorFlow, Python, and Matplotlib for government
  • Implementing optimization models in a lab environment for government

Future Trends in AI for Semiconductor Manufacturing

  • Emerging AI technologies in chip fabrication for government
  • Future directions in AI-driven process optimization for government
  • Preparing for AI advancements in semiconductor industries for government

Summary and Next Steps

Requirements

  • An understanding of semiconductor manufacturing processes for government and industry applications.
  • Basic knowledge of artificial intelligence (AI) and machine learning techniques.
  • Experience with data analysis methods and tools.

Audience

  • Process engineers working in semiconductor manufacturing for government projects.
  • Semiconductor manufacturing professionals involved in government contracts and initiatives.
  • AI specialists focused on the application of AI technologies in semiconductor industries for government use.
 14 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

AI-Driven Process Optimization in Chip Fabrication

2026-03-23 09:30
14 hours
Honolulu, HI - Waterfront
$ 2703 (Online)
$ 3903 (Classroom)

AI-Driven Process Optimization in Chip Fabrication

2026-04-06 09:30
14 hours
Kapolei, HI - Kalaeloa Professional Center
$ 2703 (Online)
$ 3903 (Classroom)

AI-Driven Process Optimization in Chip Fabrication

2026-04-20 09:30
14 hours
Kansas City, KS - The Stables KCK / CABA
$ 2703 (Online)
$ 3903 (Classroom)

AI-Driven Process Optimization in Chip Fabrication

2026-05-04 09:30
14 hours
Huntsville, AL – Regus at Cummings Research Park
$ 2703 (Online)
$ 3903 (Classroom)

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