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Jared Rhodes

This course targets software developers that are looking to build edge solutions that can process data and make intelligent decisions. This course will showcase how to develop those solutions using Microsoft Azure.

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This course targets software developers that are looking to build edge solutions that can process data and make intelligent decisions. This course will showcase how to develop those solutions using Microsoft Azure.

Over time, what was once simply internet of things solutions has evolved into edge solutions. In this course, Developing Microsoft Azure Intelligent Edge Solutions, you will learn foundational knowledge of edge computing, how it interacts with data and messaging systems, and how to utilize both with Microsoft Azure. First, you will learn the concepts of edge and internet of things computing. Next, you will discover how to process streaming data on hot, warm, and cold paths. Finally, you will explore how real-time and batch processing can be utilized in an edge solution. When you are finished with this course, you will have the skills and knowledge of edge and internet of things in Azure needed to architect your next edge solution. Software required: Microsoft Azure, .NET.

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What's inside

Syllabus

Course Overview
Discussing Azure Iot Architecture
Connecting to Iot Hub Data Streams
Implementing Hot, Warm, and Cold Data Streams
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Creating Real-time and Batch Processes

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Examines edge solutions and their interplay with data and messaging systems
Utilizes Microsoft Azure as the foundation for developing edge solutions in this course
Covers topics relevant to industry, such as data processing and messaging systems for edge solutions
Builds a foundational understanding of IoT computing and its integration with edge solutions
Provides hands-on experience through implementing hot, warm, and cold data streams
Instructed by Jared Rhodes, who is recognized for his expertise in software development

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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 Developing Microsoft Azure Intelligent Edge Solutions with these activities:
Review Azure Core Concepts
Review the foundational concepts of Azure to strengthen your understanding of the platform and its capabilities.
Show steps
  • Review Azure Documentation
  • Complete Microsoft Learn Modules
  • Build a Simple Azure Application
Explore Azure IoT Edge SDK Tutorials
Follow guided tutorials provided by Microsoft to enhance your practical skills in developing with Azure IoT Edge.
Show steps
  • Review Tutorial Documentation
  • Implement Sample Code
  • Troubleshoot and Debug
Create Edge Architecture Diagrams
Design and document your edge solutions by creating visual representations of their architecture.
Show steps
  • Identify Edge Solution Requirements
  • Use Azure Architecture Diagrams
  • Share and Review Diagrams
Five other activities
Expand to see all activities and additional details
Show all eight activities
Implement Hot, Warm, and Cold Data Paths
Reinforce your understanding of data processing on edge devices by implementing various data paths.
Show steps
  • Create Data Sources
  • Implement Data Processing Logic
  • Test and Optimize Performance
Participate in Online Discussion Forums
Engage with peers and instructors by actively participating in online discussions to clarify concepts and share knowledge.
Show steps
  • Read Discussion Topics
  • Post Questions and Responses
Support Fellow Developers in Azure IoT Edge Community
Contribute to the Azure IoT Edge community by providing guidance and support to fellow developers.
Show steps
  • Join Azure IoT Edge Community Forums
  • Answer Questions and Share Knowledge
Develop an Edge Solution Prototype
Apply your knowledge by building a working prototype of an edge solution that addresses a real-world problem.
Show steps
  • Define Project Scope
  • Design Edge Solution Architecture
  • Develop and Deploy Prototype
Contribute to Open Source IoT Edge Projects
Enhance your understanding and contribute to the advancement of Azure IoT Edge by participating in open source projects.
Show steps
  • Identify Suitable Projects
  • Report Bugs and Suggest Improvements
  • Contribute Code and Documentation

Career center

Learners who complete Developing Microsoft Azure Intelligent Edge Solutions will develop knowledge and skills that may be useful to these careers:
Software Developer
Software Developers design, build, and test computer systems and applications, including those that run on edge devices. This course can help Software Developers learn how to develop intelligent edge solutions using Microsoft Azure. It covers topics such as the concepts of edge and internet of things computing, how to process streaming data, and how to utilize real-time and batch processing in an edge solution.
Data Scientist
Data Scientists collect, analyze, and interpret data to help businesses make better decisions. This course can help Data Scientists learn how to develop edge solutions that can process data and make intelligent decisions using Microsoft Azure. It covers topics such as how to process streaming data on hot, warm, and cold paths, and how to utilize real-time and batch processing in an edge solution.
Data Engineer
Data Engineers design, build, and maintain data pipelines that collect, store, and process data. This course can help Data Engineers learn how to develop edge solutions that can process data and make intelligent decisions using Microsoft Azure. It covers topics such as how to process streaming data on hot, warm, and cold paths, and how to utilize real-time and batch processing in an edge solution.
DevOps Engineer
DevOps Engineers automate and streamline the software development process. This course can help DevOps Engineers learn how to develop and deploy edge solutions using Microsoft Azure. It covers topics such as the concepts of edge and internet of things computing, how to process streaming data, and how to utilize real-time and batch processing in an edge solution.
Machine Learning Engineer
Machine Learning Engineers develop, deploy, and maintain machine learning models. This course can help Machine Learning Engineers learn how to develop edge solutions that can process data and make intelligent decisions using Microsoft Azure. It covers topics such as how to process streaming data on hot, warm, and cold paths, and how to utilize real-time and batch processing in an edge solution.
Cloud Architect
Cloud Architects design, build, and maintain cloud-based solutions. This course can help Cloud Architects learn how to develop edge solutions using Microsoft Azure. It covers topics such as the concepts of edge and internet of things computing, how to process streaming data, and how to utilize real-time and batch processing in an edge solution.
Network Engineer
Network Engineers design, build, and maintain computer networks. This course can help Network Engineers learn how to deploy and manage edge devices on a network. It covers topics such as the concepts of edge and internet of things computing, and how to process streaming data.
Security Engineer
Security Engineers design, implement, and maintain security measures to protect computer systems and networks. This course can help Security Engineers learn how to secure edge devices and data. It covers topics such as the concepts of edge and internet of things computing, and how to process streaming data.
Product Manager
Product Managers develop, launch, and market new products. This course can help Product Managers learn about the potential applications of edge computing and how to develop edge solutions that meet the needs of customers. It covers topics such as the concepts of edge and internet of things computing, and how to process streaming data.
Data Analyst
Data Analysts collect, analyze, and interpret data to help businesses make better decisions. This course can help Data Analysts learn how to use edge devices to collect and process data, and how to use Azure services to analyze and interpret that data.
Business Analyst
Business Analysts identify and analyze business needs and develop solutions to meet those needs. This course can help Business Analysts learn about the potential applications of edge computing and how to develop edge solutions that meet the needs of businesses. It covers topics such as the concepts of edge and internet of things computing, and how to process streaming data.
IT Manager
IT Managers plan, organize, and direct the activities of an organization's IT department. This course can help IT Managers learn about the potential applications of edge computing and how to develop edge solutions that meet the needs of their organizations. It covers topics such as the concepts of edge and internet of things computing, and how to process streaming data.
Software Architect
Software Architects design and develop software systems. This course can help Software Architects learn how to develop edge solutions using Microsoft Azure. It covers topics such as the concepts of edge and internet of things computing, how to process streaming data, and how to utilize real-time and batch processing in an edge solution.
Systems Analyst
Systems Analysts analyze and design computer systems and applications. This course can help Systems Analysts learn how to develop edge solutions using Microsoft Azure. It covers topics such as the concepts of edge and internet of things computing, how to process streaming data, and how to utilize real-time and batch processing in an edge solution.
Technical Writer
Technical Writers create documentation for software and hardware products. This course can help Technical Writers learn about the concepts of edge and internet of things computing, and how to write documentation for edge solutions.

Reading list

We've selected 13 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 Developing Microsoft Azure Intelligent Edge Solutions.
For readers interested in learning more about the challenges of designing and building modern data-intensive applications, particularly those built on cloud platforms, this commonly used textbook at academic institutions. It would be supplemental reading in this course.
Is an excellent resource for providing a comprehensive overview of the fundamentals of Azure IoT. It would be supplemental reading in this course.
While this book is not specific to edge computing, it provides a wider context for understanding the role of technology in the modern world. It would be supplemental reading in this course.
Provides a comprehensive overview of IoT fundamentals, including topics such as networking, protocols, and security.
Provides a comprehensive overview of deep learning with Python, including its architecture, techniques, and applications. It valuable resource for anyone looking to learn more about deep learning and how to use Python to build deep learning models.
Provides a comprehensive overview of reinforcement learning, including its architecture, techniques, and applications. It valuable resource for anyone looking to learn more about reinforcement learning and how to use it to solve complex decision-making problems.
Provides a comprehensive overview of computer vision with Python, including its architecture, techniques, and applications. It valuable resource for anyone looking to learn more about computer vision and how to use Python to build computer vision applications.
Provides a comprehensive overview of natural language processing with Python, including its architecture, techniques, and applications. It valuable resource for anyone looking to learn more about natural language processing and how to use Python to build natural language processing applications.
Provides a comprehensive overview of speech and language processing, including its architecture, techniques, and applications. It valuable resource for anyone looking to learn more about speech and language processing and how to use it to build speech and language processing applications.
Provides a comprehensive overview of information retrieval, including its architecture, techniques, and applications. It valuable resource for anyone looking to learn more about information retrieval and how to use it to build information retrieval applications.
Provides a comprehensive overview of operating systems, including their architecture, design, and implementation. It valuable resource for anyone looking to learn more about operating systems and how to design and build them.
Provides a comprehensive overview of computer networks, including their architecture, design, and implementation. It valuable resource for anyone looking to learn more about computer networks and how to design and build them.

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