40531: Microsoft Cloud Workshop: IoT and the Smart City Course Overview

40531: Microsoft Cloud Workshop: IoT and the Smart City Course Overview

The 40531: Microsoft Cloud Workshop: IoT and the Smart City course is designed to empower learners with the skills and knowledge to implement Internet of Things (IoT) solutions in the context of a smart city using IoT. The course comprises two modules, starting with a whiteboard design session where participants review a customer case study, design a proof of concept solution, and present their solution, encouraging critical thinking and collaborative problem-solving.

In the hands-on lab, learners delve into practical experience, setting up an IoT Remote Monitoring solution environment and working with various Azure services. They simulate devices, such as buses and traffic lights, deploy IoT Edge devices with custom modules, and utilize Azure Functions to process data, which is then visualized in the IoT Remote Monitoring interface and Azure Time Series Insights. This course equips participants with the tools to develop and manage a smart city infrastructure, leveraging the potential of IoT and cloud technologies to create efficient, sustainable urban environments.

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Course Prerequisites

To ensure a successful learning experience in the 40531: Microsoft Cloud Workshop: IoT and the Smart City course, participants should have the following minimum prerequisites:


  • Basic understanding of cloud computing concepts, including what public, private, and hybrid clouds are.
  • Familiarity with Microsoft Azure services, specifically Azure IoT services, Azure Functions, Service Bus, Cosmos DB, and Time Series Insights.
  • Knowledge of IoT (Internet of Things) fundamentals and common IoT scenarios.
  • Experience with writing code in at least one programming language (preferably C#, as the lab examples are in C#).
  • Ability to navigate the Azure portal and create resources such as Virtual Machines, IoT Hubs, and Storage accounts.
  • Understanding of JSON and RESTful APIs, as they are commonly used for interacting with Azure services.
  • Basic understanding of networking concepts such as IP addresses, HTTP, and TCP/IP.
  • Some experience with Git or another version control system is helpful but not required.

These prerequisites are intended to provide a foundation for the course content and hands-on labs. Having these skills and knowledge will help participants to more effectively engage with the material and apply what they learn to real-world scenarios.


Target Audience for 40531: Microsoft Cloud Workshop: IoT and the Smart City

The Microsoft Cloud Workshop: IoT and the Smart City course is designed for professionals implementing IoT solutions in urban environments.


Target Audience:


  • Urban Planners and Smart City Strategists
  • IoT Solution Architects
  • Data Scientists working on urban data sets
  • Azure Cloud Engineers with a focus on IoT projects
  • Software Developers building smart city applications
  • Government Officials overseeing smart city initiatives
  • Project Managers leading IoT and smart city projects
  • IT Consultants specializing in IoT solutions
  • Technical Decision Makers exploring IoT implementations
  • Environmental Engineers integrating technology for sustainability


Learning Objectives - What you will Learn in this 40531: Microsoft Cloud Workshop: IoT and the Smart City?

Introduction to Course Learning Outcomes and Concepts:

In the 40531: Microsoft Cloud Workshop: IoT and the Smart City course, participants will learn to design, implement, and monitor IoT solutions for smart city scenarios using Microsoft Azure services.

Learning Objectives and Outcomes:

  • Understand the key components and architecture of an IoT solution for smart cities.
  • Design a proof of concept for a smart city IoT solution, considering scalability, security, and reliability.
  • Utilize Azure IoT services to set up a remote monitoring solution environment.
  • Provision and configure additional Azure services required for a comprehensive IoT solution.
  • Simulate smart city devices such as buses and traffic lights, and implement alerts and filters.
  • Develop and deploy custom IoT Edge modules to enable edge computing scenarios.
  • Integrate Azure Functions to process critical alerts and messages in real-time.
  • Store and manage IoT data effectively using Azure Cosmos DB for long-term analysis and retrieval.
  • Use Azure Time Series Insights to visualize and analyze time-stamped data from IoT devices.
  • Apply device management practices by using IoT Hub Device Twins to manage and tag IoT devices remotely.