Topic outline

  • Guide to Machine Learning for Engineers

    Credits: 8 PDH

    PDH Course Description:

    Machine learning is transforming the landscape of engineering and technology by enabling data-driven decision-making, automation, and innovation. This comprehensive course provides an overview of the structure, terminology, and practical applications in engineering practice, of machine learning. This course is designed as a guide for both novice, and intermediate levels of knowledge, with a final examination primarily designed to test the skills of the novice reader.

    As a novice on machine learning the reader can learn about the basic structure, terminology, and practical engineering applications used in this powerful computer modeling technology. As a more advanced reader, with a deeper prerequisite knowledge of computer programming principles, and more advanced statistical mathematics knowledge, this course delves deeper into the nuts and bolts of machine learning.

    Topics:

    • Introduction to Machine Learning
    • Importance of Machine Learning in Engineering
    • Key Concepts and Terminology
    • Foundations of Machine Learning
    • Data and its Types
    • Supervised, Unsupervised, and Reinforcement Learning
    • Feature Engineering
    • Data Preprocessing, Data Collection and Cleaning
    • Data Scaling and Normalization
    • Neural Networks and Deep Learning
    • Model Evaluation and Validation
    • Machine Learning Applications in Engineering
    • Ethical Considerations in Machine Learning
    • Future Trends in Machine Learning
    • Applications in Various Types of Engineering Practice

    To take this course:

    1.) Enroll in Course: Click below to enroll:
    (must be logged into your user account)


    2.) Study: Once enrolled, click below to begin the course:

    Download the Study Guide

    3.) Test: Once you've thoroughly read the course materials, please click below to take the final examination.

    Take the final exam

    4.) Certificate: A passing grade of 70% or higher on the exam, is required to receive the certificate of completion for this PDH course.
         NOTE: After the exam is completed, you will need to return to this page, in order to print (download) the certificate of completion.

    Print the Certificate of Completion

    Intended Audience: This course is intended for engineers from all disciplines whose job description may require an introductory knowledge of machine learning and artificial intelligence principles and concepts.
    Publication Source: Original content developed by Cadistics Courseware.

    Donald Parnell, PE

    • Topic 1