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Create IoT Solutions in Microsoft Azure

Priya Jha

In this 1-hour long project-based course, you will learn to create an IoT hub in the Azure cloud, and learn to use the Azure IoT Hub extension for Visual Studio Code to monitor and send device-to-cloud messages and cloud-to-device messages. Then you will learn to create an Azure storage account and create a stream analytics job with an IoT hub as input and a storage account as output so that the messages can be stored on the Azure storage. Finally, you will also configure message routing that enables sending telemetry data from IoT Hub to custom endpoints, and to store the data we will route the messages to the blob storage in Azure.

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In this 1-hour long project-based course, you will learn to create an IoT hub in the Azure cloud, and learn to use the Azure IoT Hub extension for Visual Studio Code to monitor and send device-to-cloud messages and cloud-to-device messages. Then you will learn to create an Azure storage account and create a stream analytics job with an IoT hub as input and a storage account as output so that the messages can be stored on the Azure storage. Finally, you will also configure message routing that enables sending telemetry data from IoT Hub to custom endpoints, and to store the data we will route the messages to the blob storage in Azure.

Before beginning this course, you should be familiar with the services of Microsoft Azure such as Azure IoT hub, stream analytics, and Storage account.

Also, you should have an Azure account prior.

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What's inside

Syllabus

Project Overview
In this 1-hour long project-based course, you will learn to create an IoT hub in the Azure cloud, and learn to use the Azure IoT Hub extension for Visual Studio Code to monitor and send device-to-cloud messages and cloud-to-device messages. Then you will learn to create an Azure storage account and create a stream analytics job with an IoT hub as input and a storage account as output so that the messages can be stored on the Azure storage. Finally, you will also configure message routing that enables sending telemetry data from IoT Hub to custom endpoints, and to store the data we will route the messages to the blob storage in Azure.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Designed for learners with a prior understanding of Azure IoT hub, stream analytics, and Storage account
Teaches about creating an IoT hub in the Azure cloud and sending telemetry data from IoT Hub to custom endpoints
Hands-on labs and interactive materials enhance the learning experience
Develops skills in using the Azure IoT Hub extension for Visual Studio Code to monitor and send device-to-cloud messages and cloud-to-device messages
Utilizes a project-based approach for practical implementation

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Create IoT Solutions in Microsoft Azure with these activities:
Review Azure services
Strengthen your foundation by reviewing the key Azure services used in this course.
Browse courses on Azure IoT Hub
Show steps
  • Read the Azure documentation for IoT Hub, Stream Analytics, and Storage Account.
  • Watch online tutorials to get an overview of each service.
  • Create a free Azure account and explore the services.
Refresh Azure Basics
Build a strong understanding of Azure before starting the course.
Browse courses on Azure
Show steps
  • Read documentation about Azure basics
  • Watch online tutorials on Azure fundamentals
Review cloud fundamentals
Strengthen your foundation in cloud computing concepts to enhance your understanding of IoT hub and related services.
Browse courses on Azure Fundamentals
Show steps
  • Revisit basic cloud computing concepts such as infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS).
  • Explore Azure documentation and tutorials on cloud fundamentals.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Learn Azure IoT Hub with Guided Tutorials
Strengthen your understanding of Azure IoT Hub through hands-on exercises.
Browse courses on Azure IoT Hub
Show steps
  • Follow step-by-step tutorials from Microsoft Learn
  • Complete hands-on labs to gain practical experience
Explore Azure IoT Hub tutorials
Enhance your understanding of IoT Hub concepts and functionalities through hands-on tutorials provided by Azure.
Browse courses on Azure IoT Hub
Show steps
  • Follow official Microsoft tutorials on setting up and managing Azure IoT Hub.
  • Experiment with sample code and explore the Azure IoT Hub documentation.
Practice Creating IoT Devices
Improve your skills in creating and managing IoT devices.
Show steps
  • Set up a simulated IoT device using Azure IoT Explorer
  • Send device-to-cloud messages and monitor device data
Design an IoT solution using Azure services
Apply your knowledge by creating a conceptual design for an IoT solution that leverages Azure IoT Hub and other related services.
Show steps
  • Identify a problem or opportunity that can be addressed using IoT.
  • Sketch out the architecture of your IoT solution, including device connectivity, data storage, and analytics.
  • Map your solution to Azure IoT services such as IoT Hub, Stream Analytics, and Storage Account.
Solve Azure IoT Hub coding challenges
Sharpen your coding skills specific to Azure IoT Hub by attempting coding challenges and puzzles.
Browse courses on IoT Device Management
Show steps
  • Find coding challenges related to Azure IoT Hub on platforms like LeetCode or HackerRank.
  • Attempt to solve the challenges and debug your code.
Create IoT and Stream Analytics projects
Develop practical skills by implementing IoT and Stream Analytics projects.
Show steps
  • Design and implement an IoT device simulator.
  • Create a Stream Analytics job to process and analyze the data from the IoT device.
  • Configure message routing to send data to Azure Storage.

Career center

Learners who complete Create IoT Solutions in Microsoft Azure will develop knowledge and skills that may be useful to these careers:
Data Scientist
A Data Scientist collects, analyzes, and interprets data to extract insights and develop predictive models. This course may be useful for Data Scientists as it provides hands-on experience with creating and managing an IoT hub in the Azure cloud, using the Azure IoT Hub extension for Visual Studio Code to monitor and send device-to-cloud messages, and creating a stream analytics job with an IoT hub as input and a storage account as output.
See salaries and explore the career path for Data Scientist
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. This course may be useful for Machine Learning Engineers as it provides hands-on experience with creating and managing an IoT hub in the Azure cloud, using the Azure IoT Hub extension for Visual Studio Code to monitor and send device-to-cloud messages, and creating a stream analytics job with an IoT hub as input and a storage account as output.
See salaries and explore the career path for Machine Learning Engineer
Business Analyst
A Business Analyst analyzes business processes and develops solutions to improve efficiency and effectiveness. This course may be useful for Business Analysts as it provides hands-on experience with creating and managing an IoT hub in the Azure cloud, using the Azure IoT Hub extension for Visual Studio Code to monitor and send device-to-cloud messages, and creating a stream analytics job with an IoT hub as input and a storage account as output.
See salaries and explore the career path for Business Analyst
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful for IoT Engineers as it provides hands-on experience with creating and managing an IoT hub in the Azure cloud, using the Azure IoT Hub extension for Visual Studio Code to monitor and send device-to-cloud messages, and creating a stream analytics job with an IoT hub as input and a storage account as output.
See salaries and explore the career path for Software Engineer
Data Analyst
A Data Analyst collects, analyzes, and interprets data to extract insights. This course may be useful for Data Analysts as it provides hands-on experience with creating and managing an IoT hub in the Azure cloud, using the Azure IoT Hub extension for Visual Studio Code to monitor and send device-to-cloud messages, and creating a stream analytics job with an IoT hub as input and a storage account as output.
See salaries and explore the career path for Data Analyst
Product Manager
A Product Manager develops and manages products and services. This course may be useful for Product Managers as it provides hands-on experience with creating and managing an IoT hub in the Azure cloud, using the Azure IoT Hub extension for Visual Studio Code to monitor and send device-to-cloud messages, and creating a stream analytics job with an IoT hub as input and a storage account as output.
See salaries and explore the career path for Product Manager
Data Engineer
A Data Engineer designs, builds, and manages data pipelines to ensure that data is available, accessible, and reliable. This course may be useful for Data Engineers as it provides hands-on experience with creating and managing an IoT hub in the Azure cloud, using the Azure IoT Hub extension for Visual Studio Code to monitor and send device-to-cloud messages, and creating a stream analytics job with an IoT hub as input and a storage account as output.
See salaries and explore the career path for Data Engineer
Cloud Architect
A Cloud Architect designs, builds, and manages cloud computing solutions. This course may be useful for Cloud Architects as it provides hands-on experience with creating and managing an IoT hub in the Azure cloud, using the Azure IoT Hub extension for Visual Studio Code to monitor and send device-to-cloud messages, and creating a stream analytics job with an IoT hub as input and a storage account as output.
See salaries and explore the career path for Cloud Architect
DevOps Engineer
A DevOps Engineer develops, deploys, and maintains software applications and infrastructure. This course may be useful for DevOps Engineers as it provides hands-on experience with creating and managing an IoT hub in the Azure cloud, using the Azure IoT Hub extension for Visual Studio Code to monitor and send device-to-cloud messages, and creating a stream analytics job with an IoT hub as input and a storage account as output.
See salaries and explore the career path for DevOps Engineer
IT Manager
An IT Manager plans, implements, and manages IT systems and services. This course may be useful for IT Managers as it provides hands-on experience with creating and managing an IoT hub in the Azure cloud, using the Azure IoT Hub extension for Visual Studio Code to monitor and send device-to-cloud messages, and creating a stream analytics job with an IoT hub as input and a storage account as output.
See salaries and explore the career path for IT Manager
Network Engineer
A Network Engineer designs, implements, and manages computer networks. This course may be useful for Network Engineers as it provides hands-on experience with creating and managing an IoT hub in the Azure cloud, using the Azure IoT Hub extension for Visual Studio Code to monitor and send device-to-cloud messages, and creating a stream analytics job with an IoT hub as input and a storage account as output.
See salaries and explore the career path for Network Engineer
Systems Administrator
A Systems Administrator manages computer systems and networks. This course may be useful for Systems Administrators as it provides hands-on experience with creating and managing an IoT hub in the Azure cloud, using the Azure IoT Hub extension for Visual Studio Code to monitor and send device-to-cloud messages, and creating a stream analytics job with an IoT hub as input and a storage account as output.
See salaries and explore the career path for Systems Administrator
Cloud Security Engineer
A Cloud Security Engineer designs, implements, and manages security solutions for cloud computing environments. This course may be useful for Cloud Security Engineers as it provides hands-on experience with creating and managing an IoT hub in the Azure cloud, using the Azure IoT Hub extension for Visual Studio Code to monitor and send device-to-cloud messages, and creating a stream analytics job with an IoT hub as input and a storage account as output.
See salaries and explore the career path for Cloud Security Engineer
IoT Developer
An IoT Developer designs, develops, and maintains IoT solutions. This course may be useful for IoT Developers as it provides hands-on experience with creating and managing an IoT hub in the Azure cloud, using the Azure IoT Hub extension for Visual Studio Code to monitor and send device-to-cloud messages, and creating a stream analytics job with an IoT hub as input and a storage account as output.
See salaries and explore the career path for IoT Developer
Cloud Consultant
A Cloud Consultant advises clients on cloud computing solutions. This course may be useful for Cloud Consultants as it provides hands-on experience with creating and managing an IoT hub in the Azure cloud, using the Azure IoT Hub extension for Visual Studio Code to monitor and send device-to-cloud messages, and creating a stream analytics job with an IoT hub as input and a storage account as output.
See salaries and explore the career path for Cloud Consultant

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Create IoT Solutions in Microsoft Azure.
Cover image
Designing Data-Intensive Applications
Save
Provides an in-depth look at the principles of scalability and how they apply to IoT solutions. It valuable resource for anyone who wants to learn how to design and build scalable IoT solutions.
Designing Data-Intensive Applications: The Big...
Paperback
$$
Designing Data-Intensive Applications: The Big...
Kindle Edition
$$
Cover image
Multimedia Quality of Experience (QoE)
Save
Provides a comprehensive overview of the IoT landscape, including the different technologies and applications that are used in IoT solutions. It valuable resource for anyone who wants to learn more about the state of the art in IoT.
Multimedia Quality of Experience (QoE): Current...
Kindle Edition
$$$$
Cover image
Designing Delay-Tolerant Applications for Store-and...
Save
Provides a comprehensive overview of the IoT ecosystem, including the different technologies, applications, and business models that are involved in IoT. It valuable resource for anyone who wants to get a broad understanding of the IoT landscape.
Designing Delay-Tolerant Applications for Store-and...
Kindle Edition
$$$$
Cover image
Big Data Analytics with Java
Save
Provides a comprehensive guide to big data analytics with Java. It covers topics such as big data architectures, big data technologies, and big data applications. It valuable resource for students and professionals who want to learn about big data analytics with Java.
Big Data Analytics with Java: Data analysis,...
Paperback
$$$
Big Data Analytics with Java: Data analysis,...
Kindle Edition
$$
Cover image
Designing the Internet of Things
Save
Provides a hands-on approach to learning about IoT. It covers topics such as IoT devices, IoT protocols, and IoT applications. It valuable resource for students and professionals who want to learn about IoT.
Designing the Internet of Things
Kindle Edition
$$
Cover image
Stakeholder Capitalism
Save
Provides a broad overview of the Fourth Industrial Revolution and its implications for society, business, and the economy. It valuable resource for anyone who wants to understand the impact of IoT and other emerging technologies on the world around us.
Stakeholder Capitalism: A Global Economy that Works...
Hardcover
$$
(中文) Stakeholder Capitalism (Chinese Edition)
Hardcover
$$
Stakeholder Capitalism: A Global Economy that Works...
Kindle Edition
$$
Cover image
Big Data: Second Edition
Save
Provides a hands-on approach to learning about data analytics. It covers topics such as data collection, data cleaning, and data analysis. It valuable resource for students and professionals who want to learn about data analytics.
Big Data: Second Edition
Paperback
Check
Big Data: Second Edition
Kindle Edition
Check
Cover image
Python Data Science Handbook
Save
Provides a comprehensive overview of data science with Python. It covers topics such as data wrangling, data visualization, and machine learning. It valuable resource for students and professionals who want to learn about data science.
Python Data Science Handbook: Essential Tools for...
Paperback
$$$
Python Data Science Handbook: Essential Tools for...
Paperback
$$$
Python pour la Data Science - Les meilleures outils...
Paperback
$$$
Python Data Science Handbook
Kindle Edition
$$

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Course image
Effort
1.5 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Priya Jha
Language
English
Good to know
Designed for learners with a prior understanding of Azure IoT hub, stream analytics, and Storage account
Teaches about creating an IoT hub in the Azure cloud and sending telemetry data from IoT Hub to custom endpoints
Hands-on labs and interactive materials enhance the learning experience
Develops skills in using the Azure IoT Hub extension for Visual Studio Code to monitor and send device-to-cloud messages and cloud-to-device messages
Utilizes a project-based approach for practical implementation
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