OpenRoads Infrastructure Design with AI Workflows
Develop hands-on skills in roadway geometry, corridor modeling, drainage and digital project delivery using OpenRoads Designer, MicroStation, Bentley iTwin and AI-assisted workflows. Apply your learning to a realistic Ontario highway rehabilitation project while building practical experience aligned with MTO standards.
Why Learn OpenRoads Infrastructure Design with Ai Workflows?
Modern transportation projects increasingly combine intelligent roadway modeling, digital collaboration, Digital Twin technology and AI-assisted design workflows. This program brings these capabilities together through practical, MTO-focused transportation design training.
Career Opportunities
The program is designed around workflows used in municipal infrastructure, land development, transportation, BIM coordination and digital project delivery.
- Junior Transportation Designer
- Transportation Designer
- Highway Design Specialist
- Digital Delivery Coordinator
- Transportation BIM Coordinator
- Senior Transportation Designer
- Transportation Project Coordinator
- Transportation Design Lead
Who Should Take This Program?
This program is designed for people who want to build practical Civil 3D, BIM and digital infrastructure design skills:
Selected Employers that have hired our graduates
Metro College of Technology graduates have built careers with employers across technology, engineering, construction, finance, and business services.
What You Will Learn
You'll progress from OpenRoads fundamentals to advanced highway design and professional digital delivery while developing the same Ontario highway rehabilitation project throughout the program.
Subject 1 – OpenRoads Foundations & Corridor Modeling with AI-Assisted Workflows
This subject develops foundational OpenRoads Designer and MicroStation skills required for transportation infrastructure projects, with explicit integration of AI-assisted workflows using Bentley Copilot and related tools from OpenRoads Designer 2026.
Subject 2 – Advanced Highway Design & Digital Modeling with AI-Assisted Workflows
Students expand the preliminary transportation design into a detailed highway design project using advanced OpenRoads workflows, with integrated AI-assisted tools including Bentley Copilot for optimization, refinement, and validation.
Subject 3 – Digital Delivery, QA/QC & Professional Presentation with AI-Assisted Workflows
Students complete project delivery activities including drawing production (using AI label optimizer), quality review, quantity validation (AI-supported), documentation, digital delivery packaging, and professional presentation.
Build an Enterprise Project
Don't Just Learn OpenRoads. Build a Transportation Design Project, You Can Show. Throughout all three subjects, you'll progressively develop a realistic. Ontario Highway Rehabilitation Project, the project brings together OpenRoads Designer, MTO standards and AI-assisted tools in one continuous learning experience.
Throughout the project, you'll gain hands-on experience with:
- OpenRoads Design
- Highway Corridors
- MTO Workflows
- Drainage
- Digital Twin Collaboration
- QA/QC
- Digital Delivery
- AI-Assisted Workflows
Admission Requirements:
1. Civil Engineering Technology diploma, degree, or equivalent industry experience.
2. Basic engineering drawing interpretation skills
3. Familiarity with AutoCAD or engineering CAD concepts.
No prior Civil 3D experience is required for standard admission.
Why Study at Metro College?
For more than 25 years, Metro College has been helping students develop the practical skills employers are looking for. Our programs are designed in collaboration with industry trends and emphasize hands-on learning, real-world projects, and career readiness—so you graduate prepared to contribute from day one.
- Career-Focused Learning
- One Continuous Project
- Live Instructor-Led Delivery
- Small class sizes
- AI with Validation Discipline
- Flexible Delivery
- MTO-Focused Training
- Flexible Delivery
Frequently Asked Questions
Find answers to common questions about the Applied AI Systems - ML and LLM Engineering course.
It is a 75-hour transportation infrastructure design program that combines OpenRoads Designer, MicroStation, Bentley iTwin, MTO-focused workflows and AI-assisted tools. Students progressively complete a realistic Ontario highway rehabilitation project.
Students work with OpenRoads Designer 2026, MicroStation, Bentley iTwin and the MTO Workspace, along with Bentley learning resources and AI-assisted functionality.
Students use Bentley Copilot and AI-assisted workflows to support contextual guidance, design optimization, terrain and geometry analysis, quantity validation, labeling, clash detection, QA/QC and technical documentation.
No. Prior OpenRoads experience is not required for standard entry.
Yes. Your final deliverables include a professional project portfolio demonstrating OpenRoads, transportation corridor design, digital delivery, QA/QC and AI-assisted workflow skills.
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