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Guide for Machine Learning for Engineers

COURSE NO: E09-002
PDH CREDIT: 9
COURSE PROVIDER: Donald Parnell, P.E.
Guide for Machine Learning for Engineers
Course Highlights

This online engineering PDH course provides a comprehensive introduction to machine learning, which is revolutionizing the field of engineering and technology. By leveraging data-driven decision-making, automation, and innovation, machine learning is reshaping the way engineering practices are carried out.

 

The course covers the fundamental structure, terminology, and practical applications of machine learning in engineering, equipping learners with a solid understanding of this powerful computer modeling technology.

 

This 9 PDH online course is applicable to engineers and technical personnel who wish to explore the potential of machine learning applications in engineering. It caters to individuals interested in understanding how machine learning can enhance engineering practices.
Learning Objectives

This PE continuing education course is intended to provide you with the following specific knowledge and skills:

  • Familiarizing yourself with the basics of machine learning
  • Understanding the significance of machine learning in the field of engineering
  • Learning key concepts and terminology related to machine learning
  • Acquiring foundational knowledge of machine learning techniques
  • Knowing about different types of data and their significance in machine learning
  • Understanding the principles and applications of supervised, unsupervised, and reinforcement learning
  • Learning about feature engineering and its role in machine learning
  • Acquiring skills in data preprocessing, data collection, and data cleaning
  • Understanding data scaling and normalization techniques in machine learning
  • Familiarizing yourself with neural networks and deep learning algorithms
  • Learning methods for evaluating and validating machine learning models
  • Exploring the diverse applications of machine learning in engineering
  • Understanding the ethical considerations associated with machine learning practices
  • Gaining insights into future trends and advancements in machine learning
  • Exploring the wide range of applications of machine learning in various engineering disciplines
Course Document
In this professional engineering CEU course, you need to review the course document titled, “Guide for Machine Learning for Engineers”, prepared by Donald Parnell, P.E.
To view, print and study the course document, please click on the following link(s):
GUIDE FOR MACHINE LEARNING FOR ENGINEERS (690 KB)
Course Quiz
Once you complete your course review, you need to take a multiple-choice quiz consisting of forty-five (45) questions to earn 9 PDH credits. The quiz will be based on the entire document.
The minimum passing score is 70%. There is no time limit on the quiz, and you can take it multiple times until you pass at no additional cost.
Certificate of Completion

Upon successful completion of the quiz, print your Certificate of Completion instantly. (Note: if you are paying by check or money order, you will be able to print it after we receive your payment.) For your convenience, we will also email it to you. Please note that you can log in to your account at any time to access and print your Certificate of Completion.

To buy the course and take the quiz, please click on: