AI Engineering Foundations
Source hierarchy • Facts vs assumptions • Controlled AI workflow • Independent verification
14-day practical digital engineering bootcamp with CAD/3D visuals, role-specific tools, quizzes, capstone and final exam.
Source hierarchy • Facts vs assumptions • Controlled AI workflow • Independent verification
Context + constraints • Missing-information behaviour • Structured outputs • Validation prompts
Revision control • Units / grid / datum • Levels and sections • Missing-information register
Point IDs and codes • Duplicate / gap checks • Suspicious elevations • Controlled export
Automation specification • Layers and geometry • AutoLISP / Python • Testing
Horizontal geometry • Vertical definition • Breaklines and curves • Tie-in QA
Centreline and channels • Crossfall and kerbs • Formation • Profiles and spot checks
IL / centreline / crown • Gradients • Branches and crossings • Trench logic
Breaklines • Boundaries • Triangle QA • Cut/fill thinking
Construction layer • Coordinate basis • DXF vs LandXML • Issue checklist
Design revision • Survey basis • Deviation • Tolerance logic
Requirements • Logic and interface • Test cases • Failure modes
File import/export • Validation messages • Audit trail • Versioning / release
Source register • Multi-discipline workflow • QA package • Technical presentation
Setting-Out Generator
Gradient Checker
Survey QA
Earthworks Quantity Estimator
Variation Tracker
Two-Week Lookahead
Constraint/Risk Checker
Coordinate Validator
Design Change Register
CAD automation
Final Exam · Capstone Project · Certificate Template
All engineering files are synthetic training data and not for construction use.