Master AWS IoT: Build, Automate & Deploy Smart Systems

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Master AWS IoT: Build, Automate & Deploy Smart Systems

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

Instructor: EDUCBA

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6 modules

Gain insight into a topic and learn the fundamentals.

10 reviews

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.

10 reviews

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

Tools you'll learn

Details to know

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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 videosTotal 53 minutes

Introduction to AWS IOT2 minutes
Industrial IOT9 minutes
Design Tenets5 minutes
TCP-UDP3 minutes
TLS-SSL4 minutes
QOS8 minutes
AWS Account Creation5 minutes
How to Create AWS-IOT Account8 minutes
Rule Actions7 minutes
Precap1 minute

4 assignmentsTotal 60 minutes

Graded - Foundations of AWS IoT & Connectivity30 minutes
Understanding IoT & Industrial Applications10 minutes
Networking Essentials for IoT10 minutes
Setting Up AWS IoT Basics10 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 videosTotal 45 minutes

HTTP and MQTT5 minutes
HTTP and MQTT Continue12 minutes
MQTT Programming on Python10 minutes
MQTT Programming on Python Continue4 minutes
Paho Installation in Prompt3 minutes
Mobile and PC communication7 minutes
Paho Website Review3 minutes

4 assignmentsTotal 60 minutes

Graded - Protocols & Python MQTT Development30 minutes
Deep Dive into HTTP & MQTT10 minutes
MQTT Programming in Python10 minutes
Cross-Device Communication & Tools10 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 videosTotal 61 minutes

Introduction to Rasp- Pi Programming1 minute
Rasp Installation11 minutes
Rasp-pi Connections and Display on Monitor7 minutes
Rasp-Pi Settings5 minutes
LED on-off Blink9 minutes
LED on-off Blink Assembly8 minutes
LED on-off Cellphone12 minutes
LED on-off Cellphone Assembly9 minutes

3 assignmentsTotal 50 minutes

Graded - Raspberry Pi Setup & Basic IoT Control30 minutes
Getting Started With Raspberry Pi10 minutes
Building LED Control Projects10 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 videosTotal 64 minutes

Intro to Rasp- Pi Programming for Publishing3 minutes
Rasp-Pi Connections2 minutes
Pi as a Broker4 minutes
Declaration of Variables in Sensor Program6 minutes
While Loop Sensor Program9 minutes
Connections Sensor Program6 minutes
Program Execution4 minutes
Sensor Output on Mobile7 minutes
Setting Raspberry-pi as a Broker4 minutes
Setting Raspberry-pi as a Broker Continue8 minutes
More on Setting Raspberry-pi as a Broker4 minutes
Setting Raspberry-pi as a Broker on Mobile4 minutes
Subscribing Massage on Mobile3 minutes
Subscribing Massage on Mobile Continue2 minutes

4 assignmentsTotal 60 minutes

Graded - Raspberry Pi as MQTT Publisher & Broker30 minutes
Publishing Sensor Data10 minutes
Configuring Raspberry Pi as a Broker10 minutes
Advanced Broker Setup & Mobile Integration10 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 videosTotal 56 minutes

AWS IOT Procedure for Create Things7 minutes
Create Thing-Certificate8 minutes
Create and Attach Policy5 minutes
AWS IOT Python Program8 minutes
AWS IOT Python Program Continue8 minutes
AWS IOT Program Execution3 minutes
Basic Idea of Smart Parking System Project9 minutes
Steps Followed to Learn Design8 minutes

4 assignmentsTotal 60 minutes

Graded - AWS IoT Cloud Integration30 minutes
Creating AWS IoT Resources10 minutes
AWS IoT Python Application Development10 minutes
Smart Parking System Conceptual Overview10 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.

What's included

13 videos4 assignments

13 videosTotal 61 minutes

Communicate Between Rasp pi6 minutes
Communicate Between Rasp pi Continue2 minutes
More on Communicate Between Rasp pi4 minutes
Communicate Between Rasp pi Execution2 minutes
Status of Proximity Sensor2 minutes
Status of Proximity Sensor Continue9 minutes
Status of Proximity Sensor Connections3 minutes
Status of Smart Parking Excecution4 minutes
AWS IOT Rule Setting9 minutes
AWS IOT Rule Setting Continue6 minutes
System Local Alarm5 minutes
System Local Alarm Program4 minutes
System Local Alarm Program Execution5 minutes

4 assignmentsTotal 60 minutes

Graded - Smart Parking System Implementation30 minutes
Inter-Device Communication10 minutes
Proximity Sensor Integration10 minutes
Alerts, Rules & Final System Behavior10 minutes

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Instructor

EDUCBA

1,705 Courses345,949 learners

Offered by

EDUCBA

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Reviewed on Jul 3, 2026

This course offers an excellent blend of hardware, software, and cloud technologies. The integration of Raspberry Pi, MQTT, Python, and AWS IoT Core creates a comprehensive learning experience.

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