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
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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
- Network Security
- Software Installation
- Cloud Deployment
- Communication Systems
- IT Automation
- System Configuration
- Program Development
- Embedded Systems
- Authentications
- Cloud Engineering
- Cloud-Based Integration
- Real Time Data
- Internet Of Things
- Cloud Computing Architecture
- Encryption
- Network Protocols
- Cryptographic Protocols
- TCP/IP
Tools you'll learn
Details to know
January 2026
23 assignments
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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.
What's included
13 videos4 assignments
13 videos•Total 61 minutes
- Communicate Between Rasp pi•6 minutes
- Communicate Between Rasp pi Continue•2 minutes
- More on Communicate Between Rasp pi•4 minutes
- Communicate Between Rasp pi Execution•2 minutes
- Status of Proximity Sensor•2 minutes
- Status of Proximity Sensor Continue•9 minutes
- Status of Proximity Sensor Connections•3 minutes
- Status of Smart Parking Excecution•4 minutes
- AWS IOT Rule Setting•9 minutes
- AWS IOT Rule Setting Continue•6 minutes
- System Local Alarm•5 minutes
- System Local Alarm Program•4 minutes
- System Local Alarm Program Execution•5 minutes
4 assignments•Total 60 minutes
- Graded - Smart Parking System Implementation•30 minutes
- Inter-Device Communication•10 minutes
- Proximity Sensor Integration•10 minutes
- Alerts, Rules & Final System Behavior•10 minutes
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