Online Courses

Discount Packages

Engineering Ethics

Live Webinars

Video Presentations

Interactive Courses

Courses by Provider

AI For Waste Water Treatment Optimization

COURSE NO: C01-042
PDH CREDIT: 1
COURSE PROVIDER: Brian Lisiewski, P.E.
AI For Waste Water Treatment Optimization
Course Highlights

This online engineering CPD course examines the application of artificial intelligence and machine learning to water and wastewater treatment operations.
 

AI and machine learning provide data-driven tools for analyzing treatment process information to optimize operations, predict equipment failures, and identify potential water quality and effluent compliance issues.
 

Water and wastewater treatment systems involve changing operating conditions, equipment performance, process data, and regulatory requirements, requiring reliable analysis and engineering oversight to protect public health and maintain compliance.
 

This course covers AI/ML integration with SCADA and laboratory data, treatment process optimization, equipment failure prediction, effluent quality monitoring, model governance, validation, documentation, and ISO 9001-aligned risk-based practices. It also emphasizes regulatory compliance, transparent and auditable AI implementation, and the continued responsibility of Professional Engineers when using AI as a decision-support tool.

This 1 CPD online course is applicable to environmental and chemical engineers, as well as other technical professionals who are interested in learning more about AI applications in water and wastewater treatment.

Learning Objectives

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

  • Understanding water and wastewater treatment processes and the role of AI/ML in supporting safe and compliant operations
  • Familiarizing with SCADA, laboratory, weather, and flow data used for AI-based process monitoring and compliance forecasting
  • Learning how AI techniques support anomaly detection, equipment failure prediction, and early identification of process upsets
  • Understanding AI-driven predictive control and optimization for chemical dosing, aeration, energy use, and effluent quality
  • Learning how AI-based forecasting and audit trails support regulatory compliance and preventive actions
  • Understanding AI model performance metrics, uncertainty, safety margins, and Verification & Validation (V&V)
  • Familiarizing with AI/ML governance, configuration control, change management, security, risk assessment, and documentation
Course Document
In this professional engineering CEU course, you need to review the course document titled, “AI For Waste Water Treatment Optimization”, prepared by Brian Lisiewski, P.E.
To view, print and study the course document, please click on the following link(s):
AI FOR WASTE WATER TREATMENT OPTIMIZATION (756 KB)
Course Quiz
Once you complete your course review, you need to take a multiple-choice quiz consisting of ten (10) questions to earn 1 CPD 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: