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DSTC-01681 Online (e-LMS) Graduate / Intermediate

Smart City Digital Twins: Integrating BIM with IoT Data for Real-Time Monitoring

by - DSTC

Master Smart City Digital Twins: Integrating BIM with IoT Data for Real-Time Monitoring in 4 weeks through hands-on, project-based online training with DSTC.

★★★★★ Be the first to review • 3 Days · 4.5 hrs • e-Certificate Included
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From ₹2,500 + GST

Programme Parameters

Educational Level:
Graduate / Intermediate
Duration & Workload:
3 Days (4.5 Hrs)
Delivery Mode:
Online (e-LMS)
Prerequisites:
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.

About This Course

Explore the integration of BIM and IoT to create Smart City Digital Twins for real-time monitoring. Learn how to combine building information models with IoT data streams to enhance urban infrastructure management. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.

🎯 Program Aim

Explore the integration of BIM and IoT to create Smart City Digital Twins for real-time monitoring. Learn how to combine building information models with IoT data streams to enhance urban infrastructure management.

📋 Course Objectives

1. Put AI in Industry & Manufacturing techniques to work on real datasets and case studies.
2. Assemble a documented case study that evidences your applied capability.

👥 Who Should Enroll?

• Master's and senior undergraduate students specializing in AI in Industry & Manufacturing
• R&D engineers and working professionals applying AI in Industry & Manufacturing in industry
• Academics and educators building research or teaching capacity in AI in Industry & Manufacturing

🚀 Key Learning Outcomes

• A portfolio-grade AI in Industry & Manufacturing deliverable you can defend and extend.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.

💎 What You'll Gain

🎥

Live & Recorded Sessions

Lifetime access to class recordings
🎓

e-Certificate on Completion

Cryptographically verified credential
💬

Post-Programme Support

Direct access to mentors & council
💻

Hands-On Experience

Notebooks, real-world code & datasets

Curriculum Outline

Module 1 Foundations

What a Digital Twin Is and Is Not

• Maturity levels from static model to bidirectional, actuating twin
• Distinguishing BIM, GIS and digital twin, and why conflating them causes failed projects
• Use cases with demonstrated returns, and use cases that remain demonstrations

Module 2 Built Asset Data

BIM Schemas and Information Management

• The IFC schema and openBIM exchange in practice
• COBie handover data and asset information requirements
• Level of information need: specifying detail without over-modelling
• ISO 19650 information management across the asset lifecycle

Module 3 Geospatial

City-Scale Integration

• CityGML and 3D Tiles for city-scale model delivery
• Coordinate reference systems, projections and the georeferencing errors that break twins
• BIM-to-GIS interoperability and semantic loss during conversion
• Terrain, subsurface and utility network integration

Module 4 Telemetry

IoT Instrumentation and Data Quality

• Sensor selection and placement for the decision the twin must support
• MQTT and LoRaWAN transport, edge gateways and buffering
• Time-series storage, downsampling and retention policy
• Calibration drift, missing data and the quality gates telemetry must pass

Module 5 Analytics

Simulation and Predictive Operation

• Energy and occupancy modelling calibrated against measured data
• Predictive maintenance and anomaly detection on building systems
• Scenario simulation for planning, mobility and climate resilience
• Visualisation and interaction layers using Cesium or a game engine runtime

Module 6 Governance

Security, Privacy and Procurement

• Data ownership and sharing agreements across authorities and vendors
• Privacy by design where sensing touches people, not just assets
• Operational technology cybersecurity and network segmentation
• Procurement, open standards and avoiding vendor lock-in over an asset lifetime

Technical Specifications

ParameterRequirement
Covered Tool / PlatformArduino
Covered Tool / PlatformRaspberry Pi
Covered Tool / PlatformMQTT
Covered Tool / PlatformNode-RED
Covered Tool / PlatformThingSpeak
Covered Tool / PlatformPython
Covered Tool / PlatformAWS IoT

Frequently Asked Questions

This is an Recorded Lectures (Self-Paced) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.

Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from DSTC (DSTC) that you can showcase on your CV and LinkedIn profile.

Learners should have a foundational understanding of Internet of Things concepts. Familiarity with basic tools and programming is recommended.

You will have access to all course materials for the duration of 3 Days (60-90 Minutes each day). The self-paced format allows you to learn according to your own schedule through our online learning management system.

Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to Internet of Things. Our mentors are industry experts and experienced professionals. Enroll in Smart City Digital Twins: Integrating BIM with IoT Data for Real-Time Monitoring today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering Internet of Things skills that matter.

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