内容は参考になりますが、絵と吹き替えでAIを使った感じが出ています。文字が崩れて内容を読み取りにくい絵もありますし..

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化学・精密化学製造業は複雑な工程と高い安全性が要求される産業です。本講義はAIを活用して生産性を高め、コストを削減し、安全を強化する戦略を扱います。工程データ分析、品質予測、設備予知保全、環境規制対応など実際の現場ですぐに適用可能なAI活用事例を中心に実務能力を体系的に学ぶことができます。

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AI を活用した製造業分野の実務適用戦略（化学・精密化学分野）

데이터수집및전처리

머신러닝딥러닝기반예측모델링

컴퓨터비전기반품질검사

예지보전

환경안전데이터분석

The chemical and fine chemical manufacturing industry is a sector that requires complex processes and high safety standards. This course covers strategies for leveraging AI to increase productivity, reduce costs, and enhance safety. You can systematically learn practical skills centered on AI application cases that can be immediately applied in actual field settings, including process data analysis, quality prediction, equipment predictive maintenance, and environmental regulation compliance.

입문

초급

중급이상

Big Data

Generative AI

Machine Learning(ML)

Deep Learning(DL)

AI-Driven Practical Application Strategies in Manufacturing: Chemical and Fine Chemical Industries

Understanding AI and Manufacturing

AI Data Characteristics and Application Fields

AI Adoption Strategy and Implementation

AI Adoption Barriers and Performance Management

AI Domestic and International Cases and Future Prospects

The Meeting of the Chemical Industry and AI

Data-Driven Process Analysis

Production Process Optimization

Safety and Risk Management

Resource and Environmental Management Innovation

Global Cases and Application Strategies