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

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.