Apr 13,2024

004 - The Future of Engineering Part IV: Artificial Intelligence

 

The Future of Engineering Part IV: Artificial Intelligence

 

Course Number: 004

 

Fee: Free

 

Length: 4 Hours

 

Credits: This course qualifies for 4 PDH (unstructured) and 4 CEU (structured) technical learning credits issued by most US State Engineering Regulatory Organizations and all Canadian Provincial and Territorial Engineering Regulatory Organizations.

 

Online, Self-Directed Format: Primarily Text with Illustrations and Video

 

Course Description (Syllabus):

 

With the advent of the technologies Internet of Things and Big Data the emergence of Artificial Intelligence was not only predictable; it was inevitable!

 

This course is designed to provide engineers with a fundamental understanding of Artificial Intelligence (AI) and its applications in various fields of engineering. As AI continues to revolutionize the way we approach problem-solving and decision-making, it is essential for engineering professionals to have a solid foundation in this rapidly evolving technology.

 

In the first part of the course, we will delve into the fundamental concepts of AI, including its definition, historical development, and its importance in today's world. We will then explore the role and significance of AI in engineering, discussing its applications in various engineering disciplines. The course will also cover key concepts in AI such as machine learning, deep learning, neural networks, natural language processing, and robotics and automation. Moreover, we will examine how AI can be applied to solve engineering problems, including design and manufacturing, predictive maintenance, and quality control.

 

Additionally, we will discuss the ethical considerations, potential risks, and challenges associated with AI in engineering, as well as strategies for mitigating these risks. Real-world case studies of AI applications in civil, mechanical, electrical, chemical, biomedical and environmental engineering will be explored to provide practical insights and future trends in the use of AI in engineering.

 

Finally, we address the existential question; “Will technology eventually replace the engineer?”

 

Learning Outcomes: By completing this course you will learn:

 

1. Definition and Overview of AI

    

2.  Key Concepts of AI:

    

   *Machine Learning

   *Deep learning

   * Neural Networks

   * Supervised, Unsupervised, Reinforced Learning

   * Natural Language Processing

   * Computer Vision

   * Expert Systems

   * Robotics

   * Automation

   * Explainable AI

    

3. Applying AI in Engineering: 

    

   * Selecting an AI Framework Software

   * Types and Uses of AI Models

   * How to Train an AI Model

   * Source List of Engineering Software with Integrated AI

   * Source List of AI Tools and AI Frameworks

   * Data Management

   * Source List of Data Collection and Processing Tools

   * Steps to incorporate an AI Model into Existing Engineering Software

    

4. Benefits of AI in Engineering:

    

   * Solving Problems

   * Predictive Maintenence

   * Design

   * Robotics

   * Remote Automation

    

5. AI in Different Fields of Engineering:

    

   * Civil

   * Mechanical

   * Electrical

   * Chemical

   * Biomedical

   * Environmental

    

6. Ethics and Challenges of AI

    

7. The Future of AI in Engineering

    

Who Should Take This Course:

 

Engineering students, engineers less familiar with AI and engineers who wish to update their knowledge of this rapidly evolving technology and how it is applied in their field of engineering.

 

Important Note: This course provides a foundation for future eMETA courses on the application of AI in specific fields of engineering.

 

Course Instructions:

 

Enrollment: You must be registered and logged into the Engineer eLearning Centre website to access this online, self-directed course.

 

Once you are logged into your Engineer eLearning account click “Browse Courses” to find this course. Click Enroll and confirm you wish to enroll.

 

Once you have confirmed your enrollment you will be returned to your account “My Courses”. Click Enter Course in course profile box. You can enter the course at any time and as many times as you wish. There is no time limit as to when you must complete this course. To access the course learning content click the module headings in the side menu.

 

Credit Options

 

After completing this course you have the option of receiving eMETA PDH or CEU credit(s) or both. eMETA credits qualify for Unstructured and Structured technical learning credits required by most US State and all Canadian Provincial and Territorial Engineering Regulatory Organizations.

 

To receive your eMETA CEU credit you will be required to take an automated quiz.

 

Instructions on how to receive your credit(s) and download your PDF Certificate(s) are provided in the side menu of this course. Your credits will also be registered in your Engineer eLearning Centre account. You can download a Transcript of all credits earned in the Engineer eLearning Centre by clicking the Transcript tab in your account.

 

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eMETA will be publishing new courses every month on the application of emerging technologies in different sectors of engineering. To receive updates on new courses subscribe to our emailing list. You will also receive notice of our online trimester newsletter "Emerging Technologies in Engineering" containing valuable articles by industry experts on how these technologies are being applied in engineering.