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Technical Foundation of Smart City: IoT, 5G, AI & Beyond
Rating: 4.5 out of 5(19 ratings)
764 students

Technical Foundation of Smart City: IoT, 5G, AI & Beyond

From Sensors and eSIM to 5G Networks, Data Lakes, and AI agents — All you need to understand how Smart Cities work
Created byPardip Singh
Last updated 6/2026
English

What you'll learn

  • Define what a Smart City is — including key features, characteristics, benefits for citizens and governments, main drivers, and global examples.
  • Identify the Ecosystem of Stakeholders — understand the roles of public-private partnerships, cross-sector data sharing, community engagement and governance.
  • Explain the four-layer Smart City architecture — Physical, Network, Data Processing, and Application Layers and how they interconnect for Smart City Solution
  • Map international standards to Smart City design — including ISO 37106, ISO/IEC 30141, ISO/IEC 20546, 3GPP TS 23.501, IEEE 2030.5, and GSMA guidelines.
  • Describe IoT sensors and Devices — their role at the Physical Layer, types of deployments, and how they generate data for smart urban systems.
  • Understand eSIM and iSIM technology — including when IoT devices need eSIM, GSMA-defined Remote SIM Provisioning (RSP), and the IoT RSP ecosystem
  • Explain 5G System Architecture — based on 3GPP TS 23.501, including Network Slicing and its relevance to Smart City Use Cases.
  • Compare Connectivity Technologies — including 5G/6G, LTE-M, NB-IoT, Wi-Fi 6/7, fiber optics (GPON, DWDM), and satellite (LEO/MEO)
  • Explain Lakehouse Medallion Architecture — Bronze, Silver, and Gold layers for ingesting, curating, and delivering business-ready data
  • Describe Big Data and analytics strategies — including real-time data processing, predictive analytics for urban planning, and decision support systems.
  • Explore Smart City applications — including smart transportation, energy, public safety, healthcare, and citizen services powered by AI.
  • Understand Agentic AI in Smart Cities — how autonomous AI agents coordinate ambulance dispatch, traffic control, hospital readiness
  • Walk through a complete Smart Healthcare use case — from emergency alert and smart corridor activation to hospital readiness and zero-delay patient handoff

Course content

8 sections • 40 lectures • 4h 14m total length
  • Smart City Introduction – Key Course Scope3:41

    Here I just give my own introduction and what is the overview of this course.

  • Smart City Learning Objectives – What You Will Gain5:47

    Lets define all the Learning Objectives that we want to share with the students for this course.

Requirements

  • No prior Telecom, IoT, or Programming experience required
  • Basic familiarity with general IT and Wireless Technology concepts is helpful but not mandatory
  • A curiosity about how Technology transforms modern cities
  • No special software, tools, or lab setup needed — this is a fully conceptual course
  • A stable internet connection and a willingness to learn

Description

Are you curious about how cities and urban living of the future will work — and what technologies make them "smart"?

This course gives you a complete, beginner-friendly technical introduction to Smart Cities — from the sensors on the street to the AI-powered applications that make urban life safer, greener, and more efficient. Whether you're a student, an early-career professional, or someone exploring the intersection of technology and urban development, this course will equip you with a solid foundation in Smart City Architecture, Connectivity, Data Management, and Real-World applications.

What You'll Learn:

  • What defines a Smart City — key concepts, characteristics, benefits, challenges, and global examples (Singapore, Barcelona, Amsterdam, Toyota Woven City, and more)

  • International standards from ISO, 3GPP, and IEEE shape the development of Smart City systems

  • The Four-Layer Smart City architecture — Physical, Network, Data Processing, and Application layers — and how they work together

  • IoT Sensors and Devices — how they collect real-world data and connect to city-wide systems

  • eSIM technology and Remote SIM Provisioning (RSP) — why it matters for large-scale IoT deployments

  • Wireless communication technologies — 5G, NB-IoT, Wi-Fi 6 and more

  • 5G System Architecture (3GPP TS 23.501) — including Network Slicing, Service-Based Architecture, and Edge Computing

  • Big Data, Cloud Computing, AI/ML analytics, and the Lakehouse Medallion Architecture for smart city data processing

  • Smart City Applications — Transportation, Energy, Healthcare, Public Safety, Governance, Environmental Monitoring, and Citizen Services

  • A detailed real-world use case: a Smart Connected Healthcare System — following an emergency ambulance journey from alert to patient handoff, powered by eSIM, IoT, and AI

  • Agentic AI — how Autonomous AI Agents coordinate ambulance routing, hospital readiness, traffic control, and staff allocation in real time

  • The ecosystem of stakeholders — public-private partnerships, cross-sector data sharing, citizen engagement, and governance frameworks needed to build a Smart City

Who Is This Course For?

  • Anyone curious about Smart Cities and how technology transforms Urban Living

  • Students and early-career professionals in Telecommunications, IT, Urban Planning, or Public Policy

  • Engineers and Technical Managers looking for a structured overview of Smart City Technologies

  • Business professionals exploring opportunities in IoT, 5G, AI, or smart infrastructure

  • Government and Public Sector professionals interested in Data-Driven Urban Development

Why This Course Stands Out:

This isn't just theory. The course walks you through a complete Smart Healthcare System example — from the Business Vision and Target Outcomes, through the eSIM-connected device Ecosystem, Data Architecture, and AI-powered Agentic Workflows — showing you exactly how all these technologies come together in a real-world scenario. You'll also get references to key standards documents (ISO, 3GPP, IEEE, GSMA) so you can dive deeper into any area that's relevant to your career.

By the end of this course, you will understand:

  • How Smart Cities are designed, built, and operated using a layered technology architecture

  • The role of IoT, eSIM, 5G, cloud computing, and AI in Powering Smart Urban Services

  • How to think about Smart City projects from both a technical and stakeholder perspective

  • Real standards and reference documents used by industry professionals worldwide

No prior experience in telecom or IoT is required — just a willingness to learn how technology is reshaping the cities we live in.

Note: As you go through this course, download the associated ppt slide which has more detailed notes for that slide for your reference. Also please go through Quiz questions after each section and you will learn a lot more for that section.

Who this course is for:

  • Aspiring Smart City Professionals — Beginners curious about how IoT, 5G, AI, and cloud computing come together to build intelligent urban systems.
  • Telecom & Network Engineers — Professionals looking to understand 5G architecture (3GPP TS 23.501), NB-IoT, Network Slicing, and Connectivity technologies in a Smart City context.
  • IoT Developers & Solutions Architects — Engineers who want to learn about sensors, eSIM/iSIM technology, GSMA Remote SIM Provisioning (RSP), and IoT communication protocols like MQTT and CoAP.
  • Data Engineers & AI/ML Practitioners — Those interested in Big Data frameworks (Hadoop, Spark), Lakehouse Medallion architecture, and how AI/ML powers predictive analytics for urban services.
  • Urban Planners & Public Sector Officials — Government Professionals exploring how Smart City technologies can improve transportation, healthcare, public safety, and citizen services.
  • IT & Cloud Infrastructure Professionals — Those wanting to understand edge computing, fog computing, and cloud platforms (AWS IoT, Azure IoT Hub, Google Cloud IoT) as applied to smart urban ecosystems.
  • Standards & Compliance Professionals — Individuals interested in ISO, IEEE, 3GPP, and GSMA standards that govern Smart City design and interoperability.
  • Healthcare Technology Enthusiasts — Learners drawn to the real-world Smart Healthcare use case, including connected ambulances, Agentic AI workflows, and eSIM-enabled medical devices.
  • Entrepreneurs & Business Strategists — Those exploring Smart City Ecosystems, Public-Private Partnerships, and cross-sector data sharing as business opportunities.
  • Students & Academics — University students in computer science, electrical engineering, urban studies, or public policy who want a structured technical introduction to Smart Cities.