Master AWS IoT: Build, Automate & Deploy Smart Systems

This course is part of AWS Cloud Engineering, Architecture & DevOps Specialization Specialization

Instructor: EDUCBA

Access provided by ExxonMobil

6 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

6 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Develop MQTT-based IoT applications and integrate sensors using Raspberry Pi and Python.
Connect edge devices securely to AWS IoT Core using TLS and cloud-based messaging workflows.
Build and deploy a real-world Smart Parking System with end-to-end IoT automation.

Skills you'll gain

Amazon Web Services
Internet Of Things
Network Protocols
TCP/IP
Real Time Data
Python Programming
Cloud Deployment
Encryption
Authentications
IT Automation
Embedded Systems
Cloud Computing Architecture
Skills section collapsed. Showing 11 of 12 skills.

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Assessments

23 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the AWS Cloud Engineering, Architecture & DevOps Specialization Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 6 modules in this course

Learners will analyze IoT protocols, develop MQTT applications, configure Raspberry Pi hardware, integrate sensors, and deploy secure cloud-connected solutions using AWS IoT Core. They will also implement smart parking automation and evaluate real-time device communication across local and cloud environments.

This course provides a complete, hands-on pathway for mastering end-to-end IoT solution development. Beginning with foundational IoT concepts, learners progress through Raspberry Pi setup, MQTT communication, Python scripting, sensor programming, and secure TLS-based cloud integration. A distinguishing feature of this course is its practical, project-driven approach—every concept directly contributes to building a fully functional Smart Parking System, providing learners with real-world IoT implementation experience. Learners benefit from structured modules, guided demonstrations, and incremental skill-building that mirror actual industry workflows. By completing the course, participants gain the ability to design scalable IoT architectures, integrate edge devices with cloud platforms, and automate data-driven actions using AWS Rule Engine—skills highly valued in modern IoT, embedded systems, and cloud engineering roles. This course uniquely blends hardware, software, networking, and cloud computing, making it ideal for anyone aspiring to build production-ready IoT applications.

This module introduces learners to the fundamentals of IoT, Industrial IoT, and key design principles essential for building secure, scalable, and reliable IoT systems using AWS IoT Core. Learners develop foundational knowledge in networking protocols, security layers, QoS concepts, and the initial setup required for AWS IoT environments.

What's included

10 videos4 assignments

10 videos Total 53 minutes

Introduction to AWS IOT 2 minutes
Industrial IOT 9 minutes
Design Tenets 5 minutes
TCP-UDP 3 minutes
TLS-SSL 4 minutes
QOS 8 minutes
AWS Account Creation 5 minutes
How to Create AWS-IOT Account 8 minutes
Rule Actions 7 minutes
Precap 1 minute

4 assignments Total 60 minutes

Graded - Foundations of AWS IoT & Connectivity 30 minutes
Understanding IoT & Industrial Applications 10 minutes
Networking Essentials for IoT 10 minutes
Setting Up AWS IoT Basics 10 minutes

This module explores the difference between HTTP and MQTT communication, introduces MQTT programming in Python, and demonstrates how cross-device messaging works using MQTT clients. Learners gain hands-on experience with Paho MQTT libraries and real-time pub-sub communication workflows.

What's included

7 videos4 assignments

7 videos Total 45 minutes

HTTP and MQTT 5 minutes
HTTP and MQTT Continue 12 minutes
MQTT Programming on Python 10 minutes
MQTT Programming on Python Continue 4 minutes
Paho Installation in Prompt 3 minutes
Mobile and PC communication 7 minutes
Paho Website Review 3 minutes

4 assignments Total 60 minutes

Graded - Protocols & Python MQTT Development 30 minutes
Deep Dive into HTTP & MQTT 10 minutes
MQTT Programming in Python 10 minutes
Cross-Device Communication & Tools 10 minutes

This module guides learners through Raspberry Pi setup, OS installation, GPIO configuration, and basic IoT hardware control. By the end, learners can assemble circuits and control LEDs using Python and MQTT, laying the groundwork for hardware-cloud integration.

What's included

8 videos3 assignments

8 videos Total 61 minutes

Introduction to Rasp- Pi Programming 1 minute
Rasp Installation 11 minutes
Rasp-pi Connections and Display on Monitor 7 minutes
Rasp-Pi Settings 5 minutes
LED on-off Blink 9 minutes
LED on-off Blink Assembly 8 minutes
LED on-off Cellphone 12 minutes
LED on-off Cellphone Assembly 9 minutes

3 assignments Total 50 minutes

Graded - Raspberry Pi Setup & Basic IoT Control 30 minutes
Getting Started With Raspberry Pi 10 minutes
Building LED Control Projects 10 minutes

This module covers Raspberry Pi’s role as both a data publisher and MQTT broker. Learners explore sensor programming, Mosquitto installation, and advanced broker configuration to enable reliable multi-device communication in local IoT networks.

What's included

14 videos4 assignments

14 videos Total 64 minutes

Intro to Rasp- Pi Programming for Publishing 3 minutes
Rasp-Pi Connections 2 minutes
Pi as a Broker 4 minutes
Declaration of Variables in Sensor Program 6 minutes
While Loop Sensor Program 9 minutes
Connections Sensor Program 6 minutes
Program Execution 4 minutes
Sensor Output on Mobile 7 minutes
Setting Raspberry-pi as a Broker 4 minutes
Setting Raspberry-pi as a Broker Continue 8 minutes
More on Setting Raspberry-pi as a Broker 4 minutes
Setting Raspberry-pi as a Broker on Mobile 4 minutes
Subscribing Massage on Mobile 3 minutes
Subscribing Massage on Mobile Continue 2 minutes

4 assignments Total 60 minutes

Graded - Raspberry Pi as MQTT Publisher & Broker 30 minutes
Publishing Sensor Data 10 minutes
Configuring Raspberry Pi as a Broker 10 minutes
Advanced Broker Setup & Mobile Integration 10 minutes

This module teaches learners how to integrate devices with AWS IoT Core using certificates, security policies, Python-based MQTT communication, and cloud-based message routing. It prepares learners to build cloud-connected IoT systems with secure authentication and automation.

What's included

8 videos4 assignments

8 videos Total 56 minutes

AWS IOT Procedure for Create Things 7 minutes
Create Thing-Certificate 8 minutes
Create and Attach Policy 5 minutes
AWS IOT Python Program 8 minutes
AWS IOT Python Program Continue 8 minutes
AWS IOT Program Execution 3 minutes
Basic Idea of Smart Parking System Project 9 minutes
Steps Followed to Learn Design 8 minutes

4 assignments Total 60 minutes

Graded - AWS IoT Cloud Integration 30 minutes
Creating AWS IoT Resources 10 minutes
AWS IoT Python Application Development 10 minutes
Smart Parking System Conceptual Overview 10 minutes

This module brings together sensors, MQTT communication, local alarms, and AWS IoT services to implement a fully functional smart parking system. Learners test and validate real-time vehicle detection, device coordination, cloud automation, and system alerts.