Build a calibrated, cloud-running, agent-queryable model of your own system — then turn it into a decision engine. EPANET, SWMM, and HEC-RAS driven by AI agents, from automated model setup all the way to a defensible five-year capital plan.
Hands-on certification in agentic modeling, in two 2-day courses per track, taught live online. The same sixteen-module arc across water, sewer, and stormwater — only the engine and the use cases change. Choose the system you run.
Build an agent-driven EPANET model of your distribution network, then turn it into a decision engine for demand forecasting, pipe risk, and capital planning.
Build an agent-driven SWMM model of your collection system, then turn it into a decision engine for wet weather response, condition risk, and capital planning.
Build an agent-driven SWMM and HEC-RAS model of your catchment, then turn it into a decision engine for flood forecasting, risk scoring, and capital planning.
A separate one-day course for the people who approve the budget and defend the capital plan. No modeling, no code, and no domain split — you oversee all three systems, so it covers all three.
Built for general managers, directors, CFOs, and boards. You learn to evaluate a digital twin investment, scope the procurement, interrogate a risk-based capital plan, and defend the funding decision to a room that has never funded software as infrastructure.
How water, sewer and stormwater models are built, calibrated and used, explained section by section. No sign-up and no cost. A solid starting point before any practitioner track.
Network elements, hydraulics, model building, calibration with hydrant flow tests, fire flow analysis, water age and quality, and master plan analysis.
SWMM elements, sewer hydraulics, flow components and RDII, model building, flow monitoring, calibration, capacity analysis, and master plan analysis.
Design rainfall, rain to runoff, drainage elements, 1D and 2D flood modeling, model building, calibration, flood analysis, detention and green infrastructure, and master plan analysis.
Every module is one stage of the same build. You do not learn AI concepts and then wonder where to apply them — you assemble a working digital twin of your own system, stage by stage.
Sensor strategy, SCADA and GIS integration, and automated QA/QC that runs before any model does
Automated model build from GIS, cloud simulation at scale, and agent-driven calibration you can defend
An MCP server exposing your model to AI agents — forecasting, ML risk scoring, and automated design
Multi-objective optimized, risk-based 5-year CIP — written back to your CMMS and defended to your board
You bring your GIS, your telemetry, and your asset records. The capstone is a working twin of your network, not a sample dataset.
EPANET, EPA SWMM, and HEC-RAS — the solvers you already trust, driven by agents you build yourself.
A provisioned cloud workspace and compute credits ship with enrollment. Your training environment is the environment you keep.
Your team builds the capital plan; your executives learn to interrogate and fund it. Both programs meet at the same CIP.
One day in person for the people who fund the work. Two days per course, live online, for the people who build it. Practitioner pricing is per seat, per track.
1 Day · In Person
For GMs, directors, CFOs & boards
2 Days Live Online + Pre-Work
For modelers, engineers & analysts
2 Days Live Online + Pre-Work
Foundation certification required
Foundation and Advanced in a single enrollment, on one track. Two 2-day intensives taking you from hydraulic first principles to a funded, risk-based five-year capital plan built on your own system — each course closing with its own live capstone.
One executive seat plus four practitioner seats, on the same track and scheduled in the same month. Your leadership spends one day in person learning to evaluate and fund the work; your engineers spend two days live online building it. Everyone returns aligned on the same capital plan — and the executive seat is effectively free.
Founder & Lead Instructor — NEER AI Academy
Elango Thevar is the founder of NEER and creator of the NEER AI Academy. With deep expertise in water infrastructure, AI-driven decision intelligence, and multi-objective optimization, Elango has spent his career bridging the gap between advanced analytics and practical utility operations. His work focuses on helping water professionals harness AI for predictive asset management, capital planning optimization, and real-time operational intelligence across drinking water, wastewater, and stormwater systems.
Session dates are not set yet. Choose a program and we will email you the dates as soon as they are announced, with a quote or invoice for your utility. No payment now.
No payment now. Utilities pay by invoice or purchase order once a date is confirmed.
Tell us which system you run and where your data stands today, and we will point you to the right track — or design a private cohort around your utility.