Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
1 Hour(s) 9 Minute(s)
Language
English
Taught by
Hossein Salami
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
1 views
Course Overview
What is AI and ML and what are basic ides behind building AI and ML models? Let's talk about the ideal gas law!
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.
Course Content
- 7 section(s)
- 20 lecture(s)
- Section 1 Introduction
- Section 2 AI and Definitions
- Section 3 Building a Model: From Regression to Importance of the Loss Function
- Section 4 Introduction to Deep Learning Models
- Section 5 On Language and Vision Models
- Section 6 Brief Introduction to Cloud Computing
- Section 7 Final Remarks and Recommendations
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
Skills covered in this course
Reviews
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RRobert Nyamekye
Although it was an introductory course but i think it was too basic
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NNikita Phavade
The course was outlined with specific examples related to chemical engineering making complex topics like deep learning easy to digest and relate to.
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AAkram Ghanem
Thanks for the course and effort, but the course is not what I expected. The presenter should provide more information about basic terminology in the slide, not only images and speaking. We are not in a conference. More information and examples for chemical engineers ( not only that related to temperature and pressure!)
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EErfan Mohammadi
This is a great and easy-to-digest introductory course by Hossein, designed for chemical engineers and other science or engineering majors. It is recommended for beginner professionals or anyone looking to refresh their knowledge of the basics.
