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. This course will introduce you to the Internet of Things and then explore Amazon Web Services’ IoT services, and then expert instructors will dive deep into topics such as the device gateway, device management, the device registry, and shadows. They will also discuss security features and implications, core and edge computing capabilities and benefits, and the use of HTTP and MQTT as communications protocols. Lastly, they will discuss the integration of IoT solutions with analytics tools, which will allow you to analyze the IoT data being collected by your fleet of devices.
Course Objectives:
- 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.
Course content
Introduction to IoT
- Introduction to IoT on AWS
- Introduction to course project
- AWS IoT Core
- IoT Device Registry
- IoT Console Tour of Console
- Intorduction to MQTT
- Pub/Sub Example for publishing and reading data
Amazon Web Services
- EC2 (Elastic Compute Cloud)
- EBS (Elastic Block Storage)
- VPC (Virtual Private Cloud)
- AWS Lambda
- Simple Notification Service
- Simple Storage Service (S3)
- Amazon Dynamo DB
- Amazon Machine Learning Service
- Amazon ElastiCache for Redis
- AWS Cloud Watch
- AWS Cloud Formation
- AWS CLI
AWS IoT (Amazon Internet of Thing) Stack
- IoT Device SDK
- Device Registry
- Device Management
- Certificates and Policies
- Message Broker
- Device Shadow Service
- Rules Engine and Rule Actions
- Amazon Greengrass Core
- IoT Analytics Service
- Integration with AWS Service Stack
Introduction to Rules, Shadows, APIs and SDKs
- IoT Rules
- IoT Device Shadows
- Using the AWS APIs and SDKs with IoT
- Compatible resources
- Fan-in Fan-out techniques
- Dumping data to DB from AWS IoT Core.
Communications, security, and compute at the edge
- IoT communications protocols
- Security
- Compute at the edge
- AWS Greengrass
Deeplens and Analytics
- AWS DeepLens
- AWS IoT Analytics
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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.
Who can attend
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
Number of Hours: 30hrs
Certification
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- Fastrack & Normal Track
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- Mock Interviews
- Video Tutorials
- Materials
- Real Time Projects
- Virtual Live Experience
- Preparing for Certification
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