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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.
There are six distinct logical layers you should consider when building an IoT workload:
- Edge layer
- Provisioning layer
- Communications layer
- Ingestion layer
- Analytics layer
Read more
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
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/5bp3xq/iot
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What's inside
Syllabus
Traffic lights
Traffic lights
Read about what's good
what should give you pause 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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Reviews summary
Foundational introduction to aws freertos edge
According to learners, this course serves as a solid introduction and an excellent primer for IoT Edge Computing with Amazon FreeRTOS on AWS. Students frequently highlight the clear explanations provided by the instructor and the value of the hands-on demos and practical examples in solidifying concepts. While it offers a strong foundational understanding, some learners suggest it's not entirely beginner-friendly, noting that some prior experience with C programming, embedded systems, or AWS IoT is beneficial. A few reviewers also desired more in-depth practical exercises beyond the theoretical coverage, indicating a desire for more extensive application.
Reviews suggest consistent quality with no significant changes over time.
"This course provides a really solid introduction to Amazon FreeRTOS for edge computing."
"Good course to get started with FreeRTOS and AWS IoT. Covers the essentials."
"This course delivered exactly what it promised: a primer for IoT Edge Computing with FreeRTOS on AWS."
Instructor delivers complex topics with clarity and practical examples.
"The explanations were clear, though sometimes a bit fast-paced if you're completely new to embedded systems."
"The instructor explains complex topics clearly. I appreciate the focus on AWS-specific implementations."
"The practical examples were invaluable. Highly recommend for developers looking to get into IoT edge devices with AWS."
Offers a strong and accurate primer for IoT edge computing.
"This course provides a really solid introduction to Amazon FreeRTOS for edge computing."
"The 'primer' aspect is accurate; it gives you a good starting point but isn't exhaustive."
"This course delivered exactly what it promised: a primer for IoT Edge Computing with FreeRTOS on AWS."
Some learners wished for more in-depth practical exercises and real-world scenarios.
"I felt it lacked enough practical exercises to really get comfortable with deploying and managing devices."
"Expected more hands-on labs. While the theory was okay, I couldn't really apply it without more guided practice."
"I found some of the module content a bit high-level, wishing for more in-depth technical dives."
Learners benefit from existing experience in embedded systems or AWS IoT.
"It definitely helps to have some basic understanding of C programming and AWS IoT services beforehand."
"Some prior experience with embedded systems or microcontrollers would be beneficial."
"As a complete beginner to embedded systems, I found myself frequently pausing to research external concepts."
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
Show steps
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
Show steps
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
Show steps
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
Expand to see all activities and additional details
Show all five activities
Practice FreeRTOS Concepts
Show steps
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
Show steps
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
Review IoT Edge Computing Principles
Show steps
Revisit the fundamental principles and concepts behind IoT edge computing to strengthen your understanding before delving into the course content.
Show steps
Show steps
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
Show steps
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
Show steps
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
Show steps
Seek out and complete online tutorials to reinforce your understanding of IoT edge development with FreeRTOS.
Show steps
Show steps
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
Expand to see all activities and additional details
Show all five activities
Practice FreeRTOS Concepts
Show steps
Engage in hands-on exercises to solidify your understanding of FreeRTOS concepts covered in the course.
Browse courses on
FreeRTOS
Show steps
Show steps
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
Show steps
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
Show steps
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:
Embedded Systems Engineer
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 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 Developer
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.
IoT Manager
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.
Network Engineer
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.
Product Manager
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.
Project Manager
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
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.
Software Engineer
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.
System Engineer
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.
Cloud Architect
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.
Technical Writer
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.
Data Scientist
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.
Hardware Engineer
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.
IT Manager
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.
For more career information including salaries, visit:
OpenCourser.com/course/5bp3xq/iot
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.
Save
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.
Save
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.
Save
Provides a comprehensive overview of computer networks, including their design, implementation, and applications. It valuable resource for those who want to learn more about computer networks 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.
Save
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.
Save
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.
Save
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/5bp3xq/iot
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