Build a calibrated, cloud-running, agent-queryable SWMM model of your own collection system — then turn it into a decision engine that forecasts wet weather response, predicts pipe condition, and generates a defensible five-year capital plan.
One system — yours — carried through all sixteen modules. Each course closes with a capstone built live on the final afternoon: not a bolt-on exercise, but the accumulated work of the two days.
Open channel and surcharge fundamentals, automated model construction from GIS, cloud simulation at scale, an MCP server that exposes SWMM to an AI agent, flow monitoring strategy, data QA/QC, and automated dry and wet weather calibration.
A live twin fed by lift station telemetry, radar-driven wet weather nowcasting, optimal flow meter placement, ML condition and SSO risk scoring, I&I versus conveyance optimization, and a risk-based five-year CIP written back into your CMMS.
You will write code. Comfort with basic Python (variables, loops, functions, reading a script) is expected, along with working familiarity with SWMM or another collection system hydraulic model. New to modeling? Start with the free Wastewater Modeling Fundamentals course. Self-paced pre-work covering the Python environment, cloud workspace setup, and a refresher on open channel flow and RDII concepts is included and must be completed before day one. No machine learning or AI background is assumed. If you lead a utility rather than model for one, the one-day Executive Program is built for you instead.
Before automating anything, be certain what the solver is doing. This module rebuilds the hydraulic and hydrologic fundamentals that every downstream automation depends on, then draws a hard line around where an AI agent may and may not operate.
A model you cannot rebuild by script is a model you cannot automate. Take the INP file apart, then construct one programmatically from your own GIS and billing data.
One run on a laptop is an exercise. Decades of continuous simulation on demand is infrastructure. Containerize the solver and drive it at scale, without a surprise bill.
The core technical skill of the program. Build a Model Context Protocol server that exposes your collection system model to an AI agent as a set of safe, validated tools.
Calibration is only as good as the field data behind it. Design a flow monitoring program deliberately, and specify instruments that survive a sewer environment.
Every failed calibration this instructor has reviewed failed here first. Build the automated validation pipeline that stands between raw flow monitoring data and any model that informs a consent decree.
Move from weeks of manual RTK fitting to a repeatable, agent-driven calibration loop — with honest acceptance criteria for a model that may end up in a regulatory submission.
The final afternoon of day two. Assemble everything into one working system, built on the data you brought to class, and defend it to the room.
Connect the calibrated model to live telemetry. The step from a model you run to a twin that runs itself is architectural, not algorithmic.
Overflow response is a forecasting problem. Predict the wet weather response before the storm arrives, and stage crews and storage accordingly.
Where the next flow meter goes is an optimization problem, not a site-visit judgement call. Quantify what an instrument is worth before deploying it.
Build likelihood and consequence of failure models that survive cross-examination — and learn the specific ways condition data misleads.
Let the agent generate and test thousands of alternatives across the classic wastewater trade-off — then choose from the Pareto front defensibly.
The flagship module, and the seam with the Executive Program. Turn condition risk and hydraulic deficiency into a sequenced, budgeted, defensible capital program.
A recommendation that never reaches a work order changes nothing. Close the loop between the twin and the field crew, in both directions.
The final afternoon of day two. Wire the full decision chain together on your own data, from live telemetry through to a ranked capital program.
In Advanced Module 6 you produce a risk-based capital plan. The one-day Executive Program teaches your GM, director, or CFO to interrogate and defend that same plan — so the work you do actually gets funded.
Sign up for the Wastewater practitioner track and leave with a working agentic digital twin of your own collection system.