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Alan Jones

Learn how to select and configure services and use client code to design your IoT applications with IoT Core.

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Learn how to select and configure services and use client code to design your IoT applications with IoT Core.

Deploying a fleet of IoT device using Amazon depends of a thorough knowledge of IoT code. In this course, Integrating AWS IoT Core in Your Application, you’ll learn how to select and configure services and use client code to design your IoT applications. First, using concise coding examples, you’ll learn all of the basic functionality of IoT Core. Next, you’ll explore how to keep your devices secure and updated. Finally, you’ll discover how to integrate all of the Core services into a complete application. When you’re finished with this course, you’ll have a foundational knowledge of AWS IoT Core that will help you as you move forward to build your IoT product. Hardware/Software required: Raspberry Pi 3, SSH and SCP clients. Code editor of your choice.

What's inside

Syllabus

Course Overview
Configuring Message Broker and Rules
Managing Shadow Device Service and Fleet Indexing Service
IoT Jobs and Security
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Taught by Alan Jones, who is recognized for their work in IoT
Develops skills necessary for Designing IoT applications with IoT Core
Develops skills necessary for Configuring services for IoT applications
Develops skills necessary for Using client code for IoT applications
Develops skills necessary for Managing Shadow Device Service and Fleet Indexing Service
Develops skills necessary for Integrating AWS IoT Core in Your Application

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Reviews summary

Aws iot core application integration

According to students, this course offers a strong foundational understanding of AWS IoT Core, particularly beneficial for those looking to integrate IoT into their applications. Learners frequently commend the practical, hands-on labs and demos that help solidify concepts like device shadows and fleet indexing. The instructor's clarity and expertise are often highlighted as a significant positive. While it provides a solid starting point, some learners suggest it could benefit from more advanced topics or extended troubleshooting. However, more recent reviews indicate a largely up-to-date and relevant experience.
Recent reviews indicate improved content timeliness.
"I found the current content up-to-date and highly relevant for current AWS IoT Core practices."
"The course materials reflect the latest AWS IoT Core features, making it very applicable."
"Initially, I had to spend a lot of time debugging due to deprecated AWS services/APIs. Needs an update."
Features a knowledgeable and highly clear instructor.
"The instructor was knowledgeable and the content was well-structured, making it easy to follow."
"The instructor explains complex topics simply and effectively."
"I found the instructor very engaging and easy to follow throughout the course, which made learning enjoyable."
Establishes a solid base in AWS IoT Core principles.
"This course is excellent for understanding AWS IoT Core fundamentals."
"I found it to be a good foundational course that covers the basics really well."
"It provided me with a strong understanding of AWS IoT Core, essential for building my IoT products."
Offers effective, hands-on coding examples and projects.
"The labs were very practical and helped solidify my understanding of how to integrate IoT Core features."
"I particularly appreciated the hands-on coding examples and practical demos."
"The hands-on projects made all the difference; I now feel confident deploying simple IoT solutions."
Best for those with some prior technical or AWS experience.
"This course is not for absolute beginners in AWS or IoT; some prior experience is recommended."
"I found the stated prerequisites a bit light for the depth of some topics discussed."
"I struggled a bit with some code examples without a stronger development background."
Good overview, but some desire more advanced or detailed content.
"I wish there were more advanced topics or troubleshooting tips, but it's a solid start."
"I felt some parts, especially application integration, were a bit rushed."
"While it provided a good overview, I believe there's room for more in-depth coverage in certain areas."

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 Integrating AWS IoT Core in Your Application with these activities:
Review Message Brokering and PubSub
Review message brokering architectural patterns and MQTT basics before the course to build context around course material.
Show steps
  • Read an article or blog post on message brokering architecture
  • Install an MQTT broker on your local machine or use an online broker
  • Publish and subscribe to topics using MQTT
Read 'IoT Fundamentals: Designing and Developing Connected Solutions'
Review a fundamental IoT textbook to strengthen your foundational knowledge of IoT concepts.
Show steps
  • Read Chapter 1-3 to gain an overview of IoT
  • Focus on the sections covering AWS IoT Core
Build an IoT Device with Arduino
Build a simple IoT device using Arduino to connect it to AWS IoT Core, allowing you to apply course concepts in a hands-on setting.
Show steps
  • Gather the necessary hardware and software
  • Follow an online tutorial or documentation to set up your Arduino
  • Write and upload code to connect your Arduino to AWS IoT Core
  • Test and monitor your IoT device
Three other activities
Expand to see all activities and additional details
Show all six activities
Configure MQTT and TLS for AWS IoT Core
Practice configuring MQTT and TLS for AWS IoT Core, ensuring you understand the security aspects of IoT device communication.
Show steps
  • Review the documentation on MQTT and TLS for AWS IoT Core
  • Set up an IoT device and configure MQTT and TLS client software
  • Test the connection and security settings of your IoT device
Develop a Data Visualization Dashboard for IoT Data
Create a data visualization dashboard to display and analyze data from your IoT device, helping you visualize and understand IoT data streams.
Show steps
  • Choose a data visualization platform or tool
  • Collect data from your IoT device or use simulated data
  • Design and implement your dashboard
  • Test and refine your dashboard
Build an IoT Home Automation System
Design and implement a complete IoT home automation system to showcase your understanding and application of course material.
Show steps
  • Define the scope and requirements of your system
  • Select and configure IoT devices and sensors
  • Integrate your devices with AWS IoT Core
  • Develop an IoT application to control and monitor your system
  • Test and evaluate your system

Career center

Learners who complete Integrating AWS IoT Core in Your Application will develop knowledge and skills that may be useful to these careers:
IoT Developer
IoT Developers design, build, and maintain IoT devices and applications. This course is a fundamental building block for an aspiring IoT Developer, covering the use of AWS IoT Core, a core service to which most IoT devices connect.
IoT Architect
IoT Architects design, build, and maintain IoT systems. This course can be useful for understanding the fundamentals and best practices of building an IoT solution.
Cloud Developer
Cloud Developers develop and maintain applications that run on cloud platforms. This course can be useful for learning how to develop IoT applications on AWS.
Cloud Architect
Cloud Architects design, build, and manage cloud computing solutions. This course can be useful for learning how to use AWS IoT Core to integrate IoT devices with cloud services.
Security Engineer
Security Engineers protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. This course can be useful for learning how to secure IoT devices and applications.
Data Scientist
Data Scientists use scientific methods and algorithms to extract knowledge from data. This course can be useful for learning how to analyze the data generated by IoT devices.
Machine Learning Engineer
Machine Learning Engineers build and deploy machine learning models. This course can be useful for learning how to use machine learning to analyze data from IoT devices and make predictions.
Data Engineer
Data Engineers build and maintain data pipelines that collect, transform, and store data. This course can be useful for learning how to manage the data generated by IoT devices.
DevOps Engineer
DevOps Engineers work on the intersection of software development and operations. They help to automate and streamline the software development process, which can be useful for managing the deployment of IoT devices and applications.
Product Manager
Product Managers are responsible for the development, launch, and marketing of products. This course can be useful for understanding the role of IoT in product development and management.
Business Analyst
Business Analysts identify and analyze business needs and develop solutions to improve business processes. This course can be useful for understanding the business value of IoT and how to integrate IoT solutions into business processes.
Data Analyst
Data Analysts collect, interpret, and transform data into usable information that helps organizations make informed decisions. This course can be useful for learning to handle the data that IoT devices generate, as well as the analytics of the data.
UI Designer
UI Designers create the visual elements of user interfaces for software and applications. This course may be useful for learning how to design user interfaces for IoT devices and applications.
UX Designer
UX Designers create user interfaces for software and applications. This course may be useful for learning how to design user interfaces for IoT devices and applications.
Software Engineer
Software Engineers design, code, and maintain software. This course, designed to help you master the AWS IoT Core service, may be useful for working with IoT (Internet of Things) software, which is a growing field that helps integrate physical devices into software and data platforms.

Reading list

We've selected seven 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 Integrating AWS IoT Core in Your Application.
Takes a project-based approach to introduce the key concepts and capabilities of AWS IoT Core. It provides readers with a solid foundation in IoT fundamentals and practical experience in building real-world IoT applications.
Provides a comprehensive and in-depth coverage of IoT concepts and technologies. While it may not focus specifically on AWS IoT Core, it offers valuable insights into the broader landscape of IoT and its applications.
Provides a clear and concise introduction to algorithms and data structures. Its visual and intuitive approach makes it a great resource for beginners seeking to understand the fundamentals of computer science.
Introduces the principles of clean architecture and explains how to design software applications that are maintainable, extensible, and scalable. Its insights are applicable to IoT development as well.
This classic book provides a clear and engaging introduction to design patterns. Its numerous examples and illustrations make it a great resource for understanding how to apply patterns to solve common software development challenges.
Provides a practical introduction to IoT and its real-world applications. While it may not go into the specifics of AWS IoT Core, it offers a valuable overview of IoT technologies and ecosystems.
This official documentation from Google provides a detailed guide to Google Cloud IoT Core. While it is not specific to AWS IoT Core, it offers valuable insights into the broader aspects of IoT, particularly for those interested in comparing and contrasting different cloud platforms.

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