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.
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
Included with
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
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
January 2026
Assessments
23 assignments
Taught in English
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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.
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- Gain a foundational understanding of a subject or tool
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There are 6 modules in this course
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
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
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
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
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
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
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