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AWS Instructor

For Internet of Things (IoT) workloads, AWS provides multiple services that allow you to design robust architectures for your applications. IoT applications are composed of many devices (or things) that securely connect and interact with complementary cloud-based components to deliver business value. IoT applications gather, process, analyze, and act on data generated by connected devices.

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For Internet of Things (IoT) workloads, AWS provides multiple services that allow you to design robust architectures for your applications. IoT applications are composed of many devices (or things) that securely connect and interact with complementary cloud-based components to deliver business value. IoT applications gather, process, analyze, and act on data generated by connected devices.

There are six distinct logical layers you should consider when building an IoT workload:

- Edge layer

- Provisioning layer

- Communications layer

- Ingestion layer

- Analytics layer

- Application layer

In this course, we will be discussing the Edge layer, the Provisioning layer, and the Communications layer as they pertain to the basic building blocks of FreeRTOS.

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What's inside

Syllabus

IoT Edge Computing: Amazon FreeRTOS Primer

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces core IoT workload concepts and AWS services for designing robust architectures
Taught by AWS Instructors, recognized experts in the field of IoT
Suitable for beginners looking to build a foundation in IoT workload development with FreeRTOS
Focuses on the fundamentals of IoT workload development, covering edge, provisioning, and communications layers
Course availability may be subject to change, so it's advisable to check the platform for up-to-date information

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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 IoT Edge Computing: Amazon FreeRTOS Primer with these activities:
Review IoT Edge Computing Principles
Revisit the fundamental principles and concepts behind IoT edge computing to strengthen your understanding before delving into the course content.
Show steps
  • Review introductory materials on IoT edge computing
  • Summarize key concepts, such as device connectivity, data processing, and security
  • Identify real-world applications of IoT edge computing
Compile a Collection of IoT Edge Resources
Gather and organize a collection of useful resources on IoT edge computing and FreeRTOS to enhance your learning experience throughout the course.
Browse courses on AWS IoT
Show steps
  • Identify and gather links to relevant documentation, tutorials, and articles
  • Categorize the resources based on topic or relevance
  • Create a central repository for easy access to the compiled resources
Follow Online Tutorials on IoT Edge Development
Seek out and complete online tutorials to reinforce your understanding of IoT edge development with FreeRTOS.
Show steps
  • Identify reputable online resources for IoT edge tutorials
  • Follow guided tutorials covering essential concepts and practical examples
  • Implement the concepts learned in your own IoT edge projects
Two other activities
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Show all five activities
Practice FreeRTOS Concepts
Engage in hands-on exercises to solidify your understanding of FreeRTOS concepts covered in the course.
Browse courses on FreeRTOS
Show steps
  • Set up a development environment for FreeRTOS
  • Create basic FreeRTOS tasks and queues
  • Implement task synchronization and communication mechanisms
  • Troubleshoot and debug FreeRTOS applications (Optional)
Read 'Designing Embedded Systems with FreeRTOS' by Colin Walls
Delve into the intricacies of embedded systems development with FreeRTOS by exploring this comprehensive book, reinforcing your understanding of key concepts.
View Embedded Software on Amazon
Show steps
  • Review fundamental concepts of embedded systems and real-time operating systems
  • Explore the architecture and features of FreeRTOS
  • Understand task scheduling, synchronization, and communication mechanisms

Career center

Learners who complete IoT Edge Computing: Amazon FreeRTOS Primer will develop knowledge and skills that may be useful to these careers:
IoT Developer
IoT Edge Computing: Amazon FreeRTOS Primer provides a foundation in the concepts of IoT edge computing, which is a specialized field within IoT development. The course introduces the concepts of the edge layer, provisioning layer, and communications layer, which are key components in designing and implementing IoT solutions. Understanding these concepts can help IoT Developers make informed decisions when designing and deploying IoT solutions.
Embedded Systems Engineer
IoT Edge Computing: Amazon FreeRTOS Primer provides a foundation in the concepts of IoT edge computing, which is a specialized field within embedded systems engineering. The course introduces the concepts of the edge layer, provisioning layer, and communications layer, which are key components in designing and implementing IoT solutions. Understanding these concepts can help Embedded Systems Engineers make informed decisions when designing and deploying IoT solutions.
IoT Architect
IoT Edge Computing: Amazon FreeRTOS Primer provides a foundation in the concepts of IoT edge computing, which is a specialized field within IoT architecture. The course introduces the concepts of the edge layer, provisioning layer, and communications layer, which are key components in designing and implementing IoT solutions. Understanding these concepts can help IoT Architects make informed decisions when designing and deploying IoT solutions.
IoT Manager
IoT Edge Computing: Amazon FreeRTOS Primer provides a foundation in the concepts of IoT edge computing, which is a specialized field within IoT management. The course introduces the concepts of the edge layer, provisioning layer, and communications layer, which are key components in designing and implementing IoT solutions. Understanding these concepts can help IoT Managers make informed decisions when designing and deploying IoT solutions.
Cloud Architect
The course, IoT Edge Computing: Amazon FreeRTOS Primer, provides a foundation in the foundational concepts of IoT edge computing, which is a specialized field within cloud architecture. The course introduces the concepts of the edge layer, provisioning layer, and communications layer, which are key components in designing and implementing IoT solutions. Understanding these concepts can help Cloud Architects make informed decisions when designing and deploying IoT solutions.
IT Manager
IoT Edge Computing: Amazon FreeRTOS Primer provides a foundation in the concepts of IoT edge computing, which is a specialized field within IT management. The course introduces the concepts of the edge layer, provisioning layer, and communications layer, which are key components in designing and implementing IoT solutions. Understanding these concepts can help IT Managers make informed decisions when designing and deploying IoT solutions.
Technical Writer
IoT Edge Computing: Amazon FreeRTOS Primer provides a foundation in the concepts of IoT edge computing, which is a specialized field within technical writing. The course introduces the concepts of the edge layer, provisioning layer, and communications layer, which are key components in designing and implementing IoT solutions. Understanding these concepts can help Technical Writers make informed decisions when designing and deploying IoT solutions.
Project Manager
IoT Edge Computing: Amazon FreeRTOS Primer provides a foundation in the concepts of IoT edge computing, which is a specialized field within project management. The course introduces the concepts of the edge layer, provisioning layer, and communications layer, which are key components in designing and implementing IoT solutions. Understanding these concepts can help Project Managers make informed decisions when designing and deploying IoT solutions.
Quality Assurance Analyst
IoT Edge Computing: Amazon FreeRTOS Primer provides a foundation in the concepts of IoT edge computing, which is a specialized field within quality assurance. The course introduces the concepts of the edge layer, provisioning layer, and communications layer, which are key components in designing and implementing IoT solutions. Understanding these concepts can help Quality Assurance Analysts make informed decisions when designing and deploying IoT solutions.
Hardware Engineer
IoT Edge Computing: Amazon FreeRTOS Primer provides a foundation in the concepts of IoT edge computing, which is a specialized field within hardware engineering. The course introduces the concepts of the edge layer, provisioning layer, and communications layer, which are key components in designing and implementing IoT solutions. Understanding these concepts can help Hardware Engineers make informed decisions when designing and deploying IoT solutions.
System Engineer
IoT Edge Computing: Amazon FreeRTOS Primer provides a foundation in the concepts of IoT edge computing, which is a specialized field within systems engineering. The course introduces the concepts of the edge layer, provisioning layer, and communications layer, which are key components in designing and implementing IoT solutions. Understanding these concepts can help Systems Engineers make informed decisions when designing and deploying IoT solutions.
Network Engineer
IoT Edge Computing: Amazon FreeRTOS Primer provides a foundation in the concepts of IoT edge computing, which is a specialized field within network engineering. The course introduces the concepts of the edge layer, provisioning layer, and communications layer, which are key components in designing and implementing IoT solutions. Understanding these concepts can help Network Engineers make informed decisions when designing and deploying IoT solutions.
Data Scientist
IoT Edge Computing: Amazon FreeRTOS Primer provides a foundation in the fundamentals of IoT edge computing, including the edge layer, provisioning layer, and communications layer. Data Scientists can use this knowledge to develop data-driven solutions that leverage IoT data. The course also provides an overview of Amazon FreeRTOS, which is a popular operating system for IoT devices. This knowledge can be valuable for Data Scientists who want to work on projects involving IoT devices.
Software Engineer
IoT Edge Computing: Amazon FreeRTOS Primer provides a foundation in the concepts of IoT edge computing, which is a specialized field within software engineering. The course introduces the concepts of the edge layer, provisioning layer, and communications layer, which are key components in designing and implementing IoT solutions. Understanding these concepts can help Software Engineers make informed decisions when designing and deploying IoT solutions.
Product Manager
IoT Edge Computing: Amazon FreeRTOS Primer provides a foundation in the concepts of IoT edge computing, which is a specialized field within product management. The course introduces the concepts of the edge layer, provisioning layer, and communications layer, which are key components in designing and implementing IoT solutions. Understanding these concepts can help Product Managers make informed decisions when designing and deploying IoT solutions.

Reading list

We've selected 12 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 IoT Edge Computing: Amazon FreeRTOS Primer.
Provides a comprehensive overview of the ARM Cortex-M0, including its architecture, programming model, and peripherals. It valuable resource for those who want to learn more about the ARM Cortex-M0 and how to use it in their projects.
Provides a comprehensive overview of embedded systems, including their design, development, and applications. It valuable resource for those who want to learn more about embedded systems and how to use them in their projects.
Provides a comprehensive overview of real-time systems, including their design, analysis, and applications. It valuable resource for those who want to learn more about real-time systems and how to use them in their projects.
Provides a comprehensive overview of operating systems, including their design, implementation, and applications. It valuable resource for those who want to learn more about operating systems and how to use them in their projects.
Provides a comprehensive overview of the Internet of Things, including its history, applications, and future directions. It valuable resource for those who want to learn more about the Internet of Things and how to use it in their projects.
Provides a comprehensive overview of cloud computing, including its history, applications, and future directions. It valuable resource for those who want to learn more about cloud computing and how to use it in their projects.
Provides a comprehensive overview of machine learning, including its history, applications, and future directions. It valuable resource for those who want to learn more about machine learning and how to use it in their projects.
Provides a comprehensive overview of deep learning, including its history, applications, and future directions. It valuable resource for those who want to learn more about deep learning and how to use it in their projects.
Provides a comprehensive overview of reinforcement learning, including its history, applications, and future directions. It valuable resource for those who want to learn more about reinforcement learning and how to use it in their projects.
Provides a comprehensive overview of natural language processing, including its history, applications, and future directions. It valuable resource for those who want to learn more about natural language processing and how to use it in their projects.
Provides a comprehensive overview of computer vision, including its history, applications, and future directions. It valuable resource for those who want to learn more about computer vision and how to use it in their projects.

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