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.

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

Mr. Sandeep Telkar R is an Assistant Professor in the Department of Artificial Intelligence and Machine Learning at PES Institute of Technology & Management, Shivamogga (previously Shimoga).

Mr. Pavan Bendre R is an AI & Machine Learning Engineer and Data Engineer with expertise in Artificial Intelligence, Machine Learning, IoT systems, Data Engineering, and intelligent automation.

Dr. Likewin Thomas is Professor and Head of the Department of Artificial Intelligence & Machine Learning at PES Institute of Technology and Management, Shivamogga.

Mrs. Akhila C V is an Assistant Professor at PES Institute of Technology and Management (PESITM), VTU, with academic qualifications in Computer Science and Engineering (B.E., M.Tech) and is currently pursuing her doctoral research.

About the Technical Reviewer
Krunal Ajaybhai Patel is a Technical Program Manager with experience across three Fortune 500 hardware companies in consumer electronics, semiconductors, and electric vehicle industries. He has led cross-functional hardware programs from ideation to high-volume production, exceeding one billion dollars in product impact, and pioneered IoT-based vehicle access systems. An IEEE Senior Member, Krunal drives innovation in connected hardware and advanced manufacturing.

Avichal Chum is a technologist and thought leader specializing in Internet of Things (IoT) and cloud computing, with deep expertise in designing scalable solutions across AWS, Microsoft Azure, and GCP. His experience spans IoT architecture, cloud infrastructure optimization, and developing connected device ecosystems.

As an active contributor, Avichal publishes articles on cloud computing best practices and IoT implementations, bridging traditional infrastructure with modern connected device workloads. His expertise includes building device state management systems, telemetry streaming architectures using IoT Hubs and Event Hubs, and integrating smart devices including thermostats with platforms such as Amazon Alexa, Google Home, and IFTTT, while ensuring scalability for demanding IoT workloads.

Shrey Tyagi is an enterprise technology architect with extensive experience in designing, evaluating, and governing complex CRM and data platforms at scale. His career has been centered on solving high-impact architectural challenges for large organizations operating in regulated, data-intensive environments, where technical decisions carry long-term operational and financial consequences.

He is recognized for his ability to assess sophisticated technical systems across dimensions of architecture, data quality, security, and platform extensibility, and is frequently entrusted with responsibilities that require independent technical judgment.

In addition to hands-on architectural leadership, Shrey contributes to the profession as a technical reviewer and advisor, evaluating advanced manuscripts and practitioner-focused content for accuracy, rigor, and enterprise relevance. His work reflects a sustained record of influence within the field of modern cloud and enterprise systems.