Applications of AI Chemical Engineering

Kapil Singh

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This course format is where trainer will explain you the subject via online live session. Date and time are not decided yet but it will be planned within next 2 weeks after you enroll & pay for this course. Get in touch with our team if any clarification is required.

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What you’ll learn

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What you'll learn

As AI continues to evolve and become increasingly prevalent in engineering industries, learning AI ensures that chemical engineers remain relevant and adaptable in a rapidly changing technological landscape. Companies value engineers who can embrace AI technologies into their work, making them more attractive candidates for positions. This course will equip participants with valuable skills and tools related to AI that can lead to improved problem-solving, increased efficiency, and career advancement.

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Key topics covered

Introduction to AI in Chemical Engineering

Definition and overview of artificial intelligence
Relevance of AI in Chemical Engineering
Historical context and development
Ethical considerations in AI applications

Machine Learning Fundamentals for Chemical Engineering

Introduction to machine learning
Supervised, unsupervised, and reinforcement learning
Data preprocessing and feature engineering
Model selection and evaluation
Case studies in Chemical Engineering applications

Use-cases

AI-Enhanced Process Control and Optimization
AI in Chemical Reaction Design and Catalysis
Safety and Risk Management with AI
Sustainable Manufacturing and Green Chemistry

Use-cases in Pharmaceuticals

Capstone project proposal

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Course Details

This 10-hour course offers chemical engineers a foundational understanding of AI technologies and applications. It combines theoretical knowledge with practical applications, including case studies, to illustrate how AI can be used to solve real-world problems in chemical engineering.