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This course is an introduction to AWS Greengrass, which lets you run local compute, messaging, data caching, and sync capabilities for connected devices in a secure way.

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This course is an introduction to AWS Greengrass, which lets you run local compute, messaging, data caching, and sync capabilities for connected devices in a secure way.

This course is an introduction to AWS Greengrass, which lets you run local compute, messaging, data caching, and sync capabilities for connected devices in a secure way. You can build machine learning models in the cloud and execute their inference at the edge. Greengrass also extends support to industrial protocols such as OPC-UA.

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Syllabus

IoT Edge Computing: Introduction to AWS Greengrass

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explains the benefits of edge computing for IoT devices
Introduces the components and architecture of AWS Greengrass
Covers use cases and examples of AWS Greengrass in various industries
Provides hands-on experience with AWS Greengrass through practical exercises
Requires familiarity with basic AWS concepts
May require additional resources for deeper understanding of edge computing and IoT principles

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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: Introduction to AWS Greengrass with these activities:
Review Development Operations (DevOps) fundamentals
Reinforce the existing knowledge of DevOps fundamentals, such as CI/CD, infrastructure management, and testing, to establish a strong foundation for the course.
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  • Review textbooks or online resources on DevOps concepts.
  • Practice using basic DevOps tools, such as Docker or Kubernetes.
Follow tutorials on AWS Greengrass
Enhance the understanding of AWS Greengrass's features and capabilities through hands-on experience with guided tutorials.
Browse courses on AWS Greengrass
Show steps
  • Identify a relevant tutorial on AWS Greengrass.
  • Follow the tutorial step-by-step.
  • Experiment with the provided code and configurations.
Complete practice exercises on Greengrass core concepts
Solidify the understanding of core Greengrass concepts, such as local compute, messaging, and data caching, through targeted practice exercises.
Show steps
  • Find online exercises or quizzes on Greengrass core concepts.
  • Attempt the exercises to test understanding and identify areas for improvement.
Four other activities
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Develop a Greengrass deployment plan
Apply the knowledge of Greengrass by creating a comprehensive deployment plan for a specific IoT use case, considering factors such as device connectivity, security, and data management.
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Show steps
  • Define the IoT use case and requirements.
  • Design the Greengrass deployment architecture.
  • Plan for device provisioning, security, and data management.
  • Document the deployment plan.
Attend a workshop on AWS Greengrass
Deepen the understanding of Greengrass by attending a workshop led by experts, allowing for interactive learning and hands-on experience.
Browse courses on AWS Greengrass
Show steps
  • Identify and register for a relevant AWS Greengrass workshop.
  • Attend the workshop in person or virtually.
Write a blog post on Greengrass
Enhance the understanding of Greengrass by researching and writing a blog post that shares insights, experiences, or best practices related to the technology.
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Show steps
  • Choose a specific topic related to Greengrass.
  • Conduct research and gather information.
  • Write and edit the blog post.
  • Publish the blog post on a relevant platform.
Network with professionals in the Greengrass community
Expand professional network and gain insights by connecting with individuals working in the field of Greengrass and related technologies.
Browse courses on AWS Greengrass
Show steps
  • Attend industry events or meetups focused on Greengrass.
  • Join online communities or forums related to Greengrass.

Career center

Learners who complete IoT Edge Computing: Introduction to AWS Greengrass will develop knowledge and skills that may be useful to these careers:
IoT Software Engineer
An IoT Software Engineer develops and maintains software for IoT devices and applications. This course on AWS Greengrass can be helpful for this role, as it provides hands-on experience in building and deploying IoT applications at the edge.
IoT Security Engineer
An IoT Security Engineer ensures the security of IoT devices and applications. This course on AWS Greengrass can be useful for this role, as it provides an understanding of how to secure IoT devices and applications at the edge.
IoT Solution Architect
An IoT Solution Architect designs and implements IoT solutions for various industries. This course on AWS Greengrass can be useful for this role, as it provides an understanding of how to build and deploy secure and reliable IoT solutions at the edge.
IoT Data Scientist
An IoT Data Scientist analyzes data from IoT devices to identify trends and patterns. This course on AWS Greengrass can be useful for this role, as it provides an understanding of how to collect and process data from IoT devices at the edge.
Cloud Engineer
A Cloud Engineer designs and manages cloud computing solutions. This course on AWS Greengrass can be useful for this role, as it provides an understanding of how to build and deploy secure and reliable IoT solutions at the edge.
DevOps Engineer
A DevOps Engineer collaborates with development and operations teams to ensure the smooth delivery of software applications. This course on AWS Greengrass can be useful for this role, as it provides an understanding of how to build and deploy secure and reliable IoT solutions at the edge.
Data Analyst
A Data Analyst analyzes data to identify trends and patterns. This course on AWS Greengrass can be useful for this role, as it provides an understanding of how to collect and process data from IoT devices at the edge.
Business Analyst
A Business Analyst analyzes business processes and identifies opportunities for improvement. This course on AWS Greengrass can be useful for this role, as it provides an understanding of how to leverage IoT data to improve business processes.
Project Manager
A Project Manager plans and manages projects to ensure their successful completion. This course on AWS Greengrass can be useful for this role, as it provides an understanding of how to build and deploy secure and reliable IoT solutions at the edge.
Technical Writer
A Technical Writer creates technical documentation for software and hardware products. This course on AWS Greengrass can be useful for this role, as it provides an understanding of how to build and deploy secure and reliable IoT solutions at the edge.
Sales Engineer
A Sales Engineer sells technical products and services to customers. This course on AWS Greengrass can be useful for this role, as it provides an understanding of how to build and deploy secure and reliable IoT solutions at the edge.
Customer Success Manager
A Customer Success Manager helps customers achieve success with their software and hardware products. This course on AWS Greengrass can be useful for this role, as it provides an understanding of how to build and deploy secure and reliable IoT solutions at the edge.
Marketing Manager
A Marketing Manager plans and executes marketing campaigns to promote products and services. This course on AWS Greengrass can be useful for this role, as it provides an understanding of how to leverage IoT data to improve marketing campaigns.
Product Manager
A Product Manager plans and manages the development and launch of new products and services. This course on AWS Greengrass can be useful for this role, as it provides an understanding of how to leverage IoT data to improve product development.
Software Developer
A Software Developer designs, develops, and maintains software applications. This course on AWS Greengrass may be useful for this role, as it provides an understanding of how to build and deploy secure and reliable IoT solutions at the edge.

Reading list

We've selected six 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: Introduction to AWS Greengrass.
Provides a comprehensive reference on industrial communication technologies, including protocols, networks, and devices.
Provides an introduction to machine learning for real-time decision making, focusing on techniques and algorithms for online learning.
Introduces machine learning concepts and techniques for IoT applications. Helpful for understanding how machine learning can be used in conjunction with IoT edge computing.
While not specifically focused on AWS Greengrass, this book provides a comprehensive overview of AWS services and architectures, which can be beneficial for understanding the broader context of Greengrass.
Provides a comprehensive overview of cloud computing concepts and technologies. Helpful for those with limited exposure to cloud computing or seeking a deeper understanding.
A comprehensive guide to designing data-intensive applications, covering topics such as data modeling, distributed systems, and scalability. Useful for understanding the data management challenges in IoT edge computing.

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