Kickstart IoT Systems Engineering

Use Sensors to Intelligence to Build Secure, Scalable IoT Systems

Key Features
● Get a free one-month digital subscription to www.avaskillshelf.com
● Hands-on IoT engineering with Arduino, ESP32, MQTT, and AWS IoT Core.
● Edge AI and TinyML deployment for real-time, on-device intelligence.
● End-to-end IoT security covering encryption, authentication, and hardening.

Book Description
Connected devices are reshaping every industry — from smart manufacturing and precision agriculture to healthcare monitoring and autonomous systems. Kickstart IoT Systems Engineering provides a comprehensive, hands-on path from core IoT concepts to production-grade, AI-enabled deployments, bridging the gap between academic foundations and real industry practice.

You begin with IoT architecture, sensors, microcontrollers, and communication protocols — including MQTT, REST APIs, LoRa, and BLE — then progressively build toward cloud-connected systems using Firebase, AWS IoT Core, and enterprise integration patterns. Every chapter is grounded in practical exercises, working with Arduino, NodeMCU, and ESP32 across real-world scenarios, including data logging, alert systems, GPIO control, and secure device communication.

Thus, by the end of the book, you will design secure, scalable IoT systems capable of handling real-world complexity — from a single connected sensor to an enterprise-grade deployment.

What you will learn
● Program Arduino, NodeMCU, and ESP32 for real-world IoT applications.
● Connect devices to cloud platforms using MQTT, REST APIs, and Firebase.
● Implement encryption, authentication, and hardening for secure IoT systems.
● Integrate Edge AI and TinyML for intelligent, low-latency device processing.
● Apply computer vision and ML models to live IoT sensor data streams.
● Deploy, test, and scale production-ready IoT solutions with confidence.

Who is This Book For?
This book is tailored for students pursuing courses like BE, B.Tech, BCA, MCA, IoT developers, embedded engineers, and AI/ML practitioners who want to build practical, cloud-connected IoT systems. Beginners will also find a strong foundation in core concepts, and professionals will gain hands-on exposure to Edge AI, security, and enterprise-scale deployment.

Table of Contents
1. Introduction to IoT
2. IoT Architecture and Ecosystem
3. Sensor Technologies and Actuators
4. Networking and Communication Protocols (MQTT, HTTP, LoRa, BLE)
5. Getting Started with Arduino, NodeMCU, and ESP32
6. Interfacing Sensors and Modules
7. Real-Time Control with GPIO, PWM, and Interrupts
8. Serial Communication and Data Transmission between Devices
9. Firebase, Blynk, and Google Sheets
10. MQTT, REST APIs, and Webhooks for Device Communication
11. Encryption, Device Hardening, and Authentication
12. Data Logging, Alert Systems, and Notification Integration
13. Cloud-Backed End-to-End Projects and Enterprise IoT Integration
14. Introduction to ML with Sensor Data
15. Deployment, Testing, and Scaling
16. The Future of IoT
17. Applied IoT with Edge AI and Vision
Index