AI-Assisted Environmental Remediation
This online engineering PDH course examines the application of artificial intelligence and machine learning to environmental remediation and risk assessment.
AI and machine learning provide data-driven tools for analyzing contaminated site data to characterize pollution, predict contaminant spread, evaluate risk scenarios, and support remediation decision-making.
Environmental remediation involves complex soil, groundwater, geophysical, and contaminant data, requiring reliable analysis, conservative safety margins, and engineering oversight to protect public health and ecological systems while maintaining regulatory compliance.
This course covers data-driven site characterization, conceptual site modeling, predictive plume modeling, remediation scenario analysis, adaptive remediation planning, model validation, secure data management, transparent assumptions, and audit trails. It also emphasizes ISO 9001-style quality frameworks, human-in-the-loop decision-making, PE oversight, and professionally defensible AI-assisted remediation practices.
This 1 PDH online course is applicable to environmental and civil engineers, as well as other technical professionals who are interested in learning more about AI-assisted environmental remediation and risk assessment.
This PE continuing education course is intended to provide you with the following specific knowledge and skills:
- Understanding environmental remediation and risk assessment processes and the role of AI/ML in supporting safe decision-making
- Familiarizing with soil, groundwater, hydrogeological, sensor, laboratory, and meteorological data used for AI-assisted site characterization
- Learning how AI supports contaminant plume delineation, anomaly detection, data gap identification, and conceptual site modeling
- Understanding AI-based predictive modeling of contaminant fate, transport, plume evolution, and remediation scenarios
- Learning how AI supports adaptive remediation planning while maintaining engineering oversight and regulatory compliance
- Understanding how AI outputs can support risk prioritization, hazard assessment, and professional engineering judgment
- Familiarizing with AI model governance, configuration control, data lineage, validation, documentation, and audit requirements
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.