AI Applications In Water And Wastewater Treatment Plants
This online engineering PDH course examines how artificial intelligence and machine learning are applied to the monitoring, operation, and management of water and wastewater treatment plants.
Water and wastewater utilities face growing populations, aging infrastructure, stricter regulations, and climate pressures, and AI tools can turn the large volumes of sensor and SCADA data these facilities generate into better decisions, lower costs, and more reliable compliance.
Because AI recommendations affect public health and the environment, models must be built on good-quality data, validated, secured against cyber threats, and integrated carefully with existing control systems under the oversight of qualified engineers and operators.
This course covers supervised, unsupervised, and reinforcement learning, real-time sensor networks and anomaly detection, predictive water quality modeling, predictive maintenance and risk assessment, chemical dosing and biological process control, membrane filtration, pump and aeration energy optimization, renewable energy integration, membrane bioreactors, advanced oxidation, and nutrient recovery. It also explains data infrastructure, cybersecurity, and cost-benefit analysis, and presents case studies from Cuxhaven, Germany, full-scale coagulant dosing, and South Bend, Indiana.
This 1 PDH online course is applicable to civil and chemical engineers, as well as other technical professionals who are interested in learning more about AI applications in water and wastewater treatment.
This PE continuing education course is intended to provide you with the following specific knowledge and skills:
- Understanding the fundamental AI and machine learning concepts used in water and wastewater treatment
- Familiarizing with real-time sensor networks, anomaly detection, and predictive water quality modeling
- Explaining AI-based predictive maintenance, failure prediction, and risk assessment for treatment plant assets
- Understanding AI-driven chemical dosing, biological treatment control, and membrane filtration optimization
- Explaining AI applications in pump and aeration energy management, membrane bioreactors, advanced oxidation, and nutrient recovery
- Familiarizing with data infrastructure, cybersecurity, cost-benefit analysis, and real-world case studies of AI implementation
In this professional engineering CEU course, you need to review the course document titled, “AI Applications In Water And Wastewater Treatment Plants”, prepared by Amr Abouseif.
Once you complete your course review, you need to take a multiple-choice quiz consisting of ten (10) questions to earn 1 PDH credits. The quiz will be based on the entire document.
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.