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APPLIED LEARNING PATHS

Learn Through
Engineering Practice.

03 functional paths18 structured lessonsProgress saved on this device

From technical concepts to defensible work products.

These initial learning paths combine concise instruction, professional context, and applied assignments. Additional readings, datasets, assessments, and certificates will be added progressively.

FOUNDATION → APPLIED

GIS for Infrastructure

Develop a governed utility GIS workflow and asset-risk map.

0%0 of 6 lessons
LESSON 01

Utility spatial data models

Assets, identifiers, coordinate systems, topology, metadata, and lifecycle ownership.

20–35 MINUTES
LESSON 02

Data quality and field workflows

Completeness, positional accuracy, domains, field collection, lineage, and QA/QC.

20–35 MINUTES
LESSON 03

Spatial and network analysis

Overlay, proximity, tracing concepts, service impacts, and accessibility.

20–35 MINUTES
LESSON 04

Risk and criticality mapping

Likelihood, consequence, vulnerability, equity, and prioritization layers.

20–35 MINUTES
LESSON 05

Web GIS and dashboards

Audience, visual hierarchy, indicators, filters, mobile use, and permissions.

20–35 MINUTES
LESSON 06

Applied project

Design an asset-risk map and decision dashboard with documented assumptions.

CAPSTONE
FOUNDATION → ADVANCED

Hydraulic Modeling

Build, calibrate, and communicate a defensible scenario model.

0%0 of 6 lessons
LESSON 01

Model purpose and governance

Objectives, boundaries, data lineage, version control, assumptions, and acceptance criteria.

20–35 MINUTES
LESSON 02

WaterGEMS workflow

Network development, demands, controls, scenarios, pressure, fire flow, and water age.

20–35 MINUTES
LESSON 03

EPANET and automation

Extended-period simulation, water quality, scripting concepts, and batch scenarios.

20–35 MINUTES
LESSON 04

InfoWorks ICM concepts

Collection systems, rainfall-runoff, 1D/2D representation, flooding, and controls.

20–35 MINUTES
LESSON 05

Calibration and validation

Field/SCADA preparation, residuals, sensitivity, parameter adjustment, and uncertainty.

20–35 MINUTES
LESSON 06

Applied project

Evaluate an existing condition and recommend an operational or capital alternative.

CAPSTONE
STRATEGY → IMPLEMENTATION

AI in Water Utilities

Define a governed AI use case with measurable utility value.

0%0 of 6 lessons
LESSON 01

AI opportunity assessment

Problem value, feasibility, data readiness, risk, maturity, and prioritization.

20–35 MINUTES
LESSON 02

Grounded utility knowledge

Retrieval, source governance, citations, technical review, and KnowledgeGPT patterns.

20–35 MINUTES
LESSON 03

Predictive analytics

Demand, failures, quality, energy, maintenance, anomalies, and evaluation.

20–35 MINUTES
LESSON 04

AI-driven asset management

Horizontal and vertical assets, condition, risk, timing, and prescriptive response.

20–35 MINUTES
LESSON 05

Agents and human controls

Workflow orchestration, validation, escalation, auditability, and accountability.

20–35 MINUTES
LESSON 06

Applied project

Prepare an implementation charter covering data, architecture, controls, KPIs, and adoption.

CAPSTONE
LEARNING GOVERNANCE

Practice-Oriented and Reviewable.

Prepared and reviewed by: AquaTwinX Technical Team

Review cycle: Semiannual

Last reviewed: August 2026

Course content supports professional development and does not replace jurisdiction-specific standards, formal university instruction, software-vendor certification, or independent engineering judgment.