- 瞭解半導體製造工藝
- 人工智慧和機器學習的基礎知識
- 具有數據分析經驗
觀眾
- 工藝工程師
- 半導體製造專業人士
- 半導體行業的人工智慧專家
人工智慧正在通過優化工藝、提高產量、檢測缺陷和微調工藝參數來改變半導體製造，以獲得更好的結果。
這種以講師為主導的現場培訓（現場或遠端）面向希望理解和應用人工智慧技術以優化半導體製造工藝的中級專業人士。
在培訓結束時，參與者將能夠：
- 瞭解用於晶元製造中流程優化的 AI 方法。
- 實施 AI 模型以提高產量並減少缺陷。
- 分析過程數據，確定需要優化的關鍵參數。
- 應用機器學習技術來微調半導體製造工藝。
課程形式
- 互動講座和討論。
- 大量的練習和練習。
- 在現場實驗室環境中實際實施。
課程定製選項
- 如需申請此課程的定製培訓，請聯繫我們進行安排。
晶片製造中的人工智慧簡介
- 人工智慧在半導體製造中的應用概述
- 瞭解 AI 在流程優化中的作用
- 成功實施 AI 的案例研究
流程優化的基礎知識
- 流程優化技術簡介
- 半導體製造中的主要挑戰
- 數據驅動決策在優化中的作用
提高產量的人工智慧技術
- 瞭解晶元製造中的良率挑戰
- 實施 AI 模型來預測和提高產量
- 人工智慧驅動的產量提升的真實示例
使用 AI 進行缺陷檢測
- 基於AI的缺陷檢測方法介紹
- 使用機器學習來識別和分類缺陷
- 通過 AI 驅動的檢測提高過程可靠性
工藝參數調優
- 瞭解工藝參數對晶元製造的影響
- 使用 AI 優化關鍵工藝參數
- 人工智慧驅動的過程參數調優案例研究
人工智慧工具和技術
- 與流程優化相關的 AI 工具概述
- 使用 TensorFlow、Python 和 Matplotlib 進行實踐練習
- 在實驗室環境中實施優化模型
人工智慧在半導體製造中的未來趨勢
- 晶片製造中的新興人工智慧技術
- 人工智慧驅動的流程優化的未來方向
- 為半導體行業的 AI 進步做好準備
摘要和後續步驟
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