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An Introduction to AI for Chemical Engineers
Rating: 4.1 out of 5(31 ratings)
81 students

An Introduction to AI for Chemical Engineers

What is AI and ML and what are basic ides behind building AI and ML models? Let's talk about the ideal gas law!
Created byHossein Salami
Last updated 1/2025
English

What you'll learn

  • Understand the definition of AI, Machine Learning, and other modeling approaches using simple ChemEng examples
  • Understand the core ideas and principles behind AI/ML methods, including neural networks
  • Identify the right approach to a modeling problem
  • Get a high-level understanding of how Large Language and Computer Vision models work

Course content

7 sections • 20 lectures • 1h 9m total length

  • Introduction4:06

Requirements

  • No coding skill is required. This course is focused on understanding the core ideas and principles without any math and programming.
  • The only requirement is the familiarity with the ideal gas law.

Description

An introductory course designed for helping engineering and chemistry STEM students and industry professionals entering the data science, AI, and machine learning areas.

This course is appropriate for those with minimal prior exposure to the field of AI and interested to either enter or shift their career path to this field and related areas. We use the simplest concepts in chemical engineering and chemistry, mainly the famous ideal gas law! to go over and introduce various topics related to AI and ML. In each step, we use simple, relevant, and area-specific example (mostly ideal gas law!) to show how these concepts relate to real-world applications and systems in chemical engineering and chemistry fields.

Main topics covered in the course include:

  • Exact definition of AI and ML and the important terminology of the field

  • Main differences between different modeling approaches from purely data-driven models to mechanistic models

  • Definition of loss function and importance of selecting an appropriate one,

  • An introduction to artificial neural networks and deep learning

  • Overview of vision and language models

  • An introduction to cloud computing and its benefits.

The course concludes by going over several recommendations for taking the next steps necessary to continue your journey towards this dynamic, fast-growing, and exciting field.

Who this course is for:

  • STEM students, chemical and mechanical engineering, and chemistry major students interested in getting into data science, AI and machine learning areas.
  • Early-career chemical and mechanical engineers interested in AI, machine learning, and data science areas.

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