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AWS IoT: Developing and Deploying an Internet of Things Course Overview

AWS IoT: Developing and Deploying an Internet of Things Course Overview

The "AWS IoT: Developing and Deploying an Internet of Things" course is a comprehensive learning path designed for individuals looking to master the intricacies of IoT on the AWS platform. This course offers a deep dive into the AWS IoT ecosystem, providing learners with the knowledge to build and deploy IoT solutions. With a focus on practical application, the curriculum spans from foundational concepts to advanced topics.

Module 1 lays the groundwork, introducing AWS IoT Core and its Device registry. Module 2 delves into IoT rules, Device shadows, and the integration of AWS APIs and SDKs. Module 3 covers Communication protocols, Security measures, and edge computing, including AWS Greengrass. Lastly, Module 4 explores AWS DeepLens and IoT Analytics for advanced data processing and machine learning tasks.

By engaging with this AWS IoT course, learners can aim for AWS IoT certification, positioning themselves as skilled professionals in the rapidly growing field of IoT. This course not only imparts valuable knowledge but also equips students with the practical skills essential for deploying IoT solutions using AWS.

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Course Prerequisites

To ensure the best learning experience and success in the AWS IoT: Developing and Deploying an Internet of Things course, participants should meet the following minimum prerequisites:


  • Basic understanding of the AWS platform: Familiarity with the core AWS services such as Amazon EC2, Amazon S3, and IAM policies is recommended.
  • Knowledge of programming concepts: While expertise in a specific programming language is not mandatory, understanding programming logic and structures will be beneficial.
  • Experience with IoT concepts: A general understanding of Internet of Things (IoT) principles and technologies will help contextualize the course content.
  • Familiarity with command-line tools and scripting: Comfort using command-line interfaces and basic scripting can assist in navigating the hands-on components of the course.
  • Understanding of networking fundamentals: Knowledge of networking concepts such as protocols, IP addresses, and basic security practices is advantageous.
  • Eagerness to learn: A willingness to engage with new technologies and a proactive approach to problem-solving are essential to getting the most out of the course.

These prerequisites are designed to establish a foundation that will help participants effectively absorb the course material and apply it to real-world IoT scenarios.


Target Audience for AWS IoT: Developing and Deploying an Internet of Things

The AWS IoT course offers in-depth training on IoT on AWS, targeting professionals aiming to develop and deploy IoT solutions.


  • IoT Developers and Engineers
  • Software Developers interested in IoT applications
  • AWS Solution Architects
  • Embedded Systems Engineers
  • Technical Project Managers overseeing IoT projects
  • Data Scientists interested in IoT data analytics
  • IT professionals focusing on IoT security
  • System Integrators working with IoT solutions
  • Innovation Managers exploring IoT potential
  • Network Engineers specializing in IoT communications protocols
  • Professionals seeking to understand edge computing with AWS Greengrass
  • Developers interested in using AWS DeepLens for machine learning projects


Learning Objectives - What you will Learn in this AWS IoT: Developing and Deploying an Internet of Things?

Introduction to Learning Outcomes and Concepts Covered:

This course provides an in-depth understanding of AWS IoT services, focusing on developing and deploying IoT solutions. It covers IoT on AWS, device management, security, edge computing, and analytics.

Learning Objectives and Outcomes:

  • Understand the fundamentals of IoT on AWS, including an overview of the AWS IoT Core service.
  • Gain knowledge on how to manage IoT devices using the IoT Device Registry.
  • Learn to create and manage IoT Rules for real-time data processing.
  • Understand the concept and usage of IoT Device Shadows for persistent device state management.
  • Acquire skills in using AWS APIs and SDKs for IoT application development.
  • Comprehend various IoT communication protocols supported by AWS IoT.
  • Grasp best practices for IoT security, including authentication and authorization mechanisms.
  • Understand the role and configuration of AWS Greengrass for local compute, messaging, data caching, and sync capabilities.
  • Get hands-on experience with AWS DeepLens for developing and deploying machine learning models.
  • Learn to analyze IoT data using AWS IoT Analytics and integrate insights into business applications.

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