Training Outline
AI is transforming water and wastewater utilities. Developed with WEF, this course introduces key concepts—machine learning, predictive analytics, and GenAI—through practical utility use cases. Learn how to apply AI, use prompting effectively, and understand responsible use, with no prior experience required.
- Placement test1
Intro to AI
- Why AI Matters for Water and Wastewater Utilities and Operators
- The Water-AI Nexus Framework: Water for AI / AI for Water
Chapter test - 2
Key Principles and Use Cases
- Water for AI: Principles for Sustainable Water Use by Data Centers
- AI Essentials: ML vs Predictive Analytics vs GenAI vs Agentic AI
- Using Machine Learning and Predictive Analytics
- Practical GenAI Use Cases
- Agentic AI Use Cases
Chapter test - 3
Applying AI in a Utility
- Prompting Basics for Utility Use
- Prompting Best Practices and Troubleshooting Tips
- Using AI Responsibly in Utilities
Chapter test - 4Chapter test
- 5Chapter test
- 6Chapter test
- 7Chapter test
- 8Chapter test
Learning outcomes
- Explain what AI is and how it works in practical terms
- Apply the Water-AI Nexus framework ("Water for AI / AI for Water") to real examples
- Identify where predictive analytics, machine learning, GenAI, and agentic AI can support utility workflows
- Recognize key risks and use basic guardrails for responsible AI use
Level
Basic
Prerequisites
No prior AI knowledge required.
Target audience
Any water or wastewater professional
Learning material and method
Video clips with placement test, practice exercises and handout
Learning assessment method
Chapter tests (MCQs) with a minimum score of 70%
Practical AI Applications for Water & Wastewater Utilities
Discover how AI can support everyday utility tasks, from data analysis and reporting to operational decision-making. The course walks through practical examples of machine learning, GenAI, and prompting techniques, helping you understand how these tools can improve efficiency, support compliance, and enhance performance in water and wastewater operations.
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