Master IoT Course. Build Real Connected Devices.

The Advanced IoT Course covers everything from computer networking fundamentals to MQTT, Edge AI, TinyML, embedded programming, and IoT cybersecurity — through hands-on implementation, not lectures.
  • Build real IoT systems with hands-on projects (not simulations)
  • Learn the complete stack: networking → APIs → MQTT → Edge AI → security
  • Gain in-demand 2026 skills, designed for students

From Learning to
Real-World IoT Careers

Master the complete IoT stack — from hardware and networking to AI-powered systems, all through real-world projects.
I finally understood how MQTT and real-time data flow works through practical implementation. The learning approach is very different from typical courses.
Sneha P
Software Developer
Highly interactive sessions. The trainer ensures I understand the concept and provides sufficient time and respond to my queries.
Vishnu Arul Selvan
My kid really loves the class, it’s very educative and engaging, it’s a one hour class but can’t imagine when time was up, it’s few months now but still classes are good robotics learning experience. Thank you itsmybot team, keep up ..
Samer S
Definitely Recommend – The classes were scheduled as expected with flexibility to reschedule. The teacher understood the student pace of learning and was very patient throughout the class. Kids loved it.
Ferry

Book Your Free IoT Demo Session

What You’ll Learn in This Course

Master the complete IoT stack — from hardware and networking to AI-powered systems, all through real-world projects.

Networking Foundations

Your own client-server communication system using Python sockets

IoT APIs & Web Layer

A working REST API that connects a device to the web using Flask

MQTT Communication

A cloud-connected device network using publish/subscribe messaging

Real-Time Systems

A live sensor dashboard using WebSockets

Edge AI Deployment

AI classification running directly on a microcontroller — no cloud

Secure IoT Platform

A fully authenticated, TLS-secured IoT application

Curriculum

Advanced IoT Course Curriculum

Every module is taught through live coding and real project implementation.

  • Computer network fundamentals, packet switching, packet structure
  • Routers, switches, servers, ISPs
  • Public/private IP addressing, IPv4 vs IPv6
  • NAT, MAC addressing, OSI 7-layer model
  • TCP vs UDP protocols

  • Client-server architecture
  • Socket programming, IP and port communication
  • send/recv communication models
  • Echo servers, request-response systems

🔧 Projects: Python client-server application, interactive server logic

  • HTTP protocol fundamentals, API communication
  • Flask server development, REST API design
  • JSON responses, GET/POST/PUT/DELETE methods
  • 🔧 Projects: To-do REST server, Calculator API, embedded device-to-server communication

  • MQTT publish/subscribe architecture
  • Broker communication, topic design
  • Lightweight messaging, device-to-cloud and cloud-to-device messaging
  • Multi-device MQTT systems
  • 🔧 Projects: Cloud LED control, MQTTX communication, Smart street light system

  • WebSockets vs HTTP, persistent bidirectional communication
  • Live sensor streaming, async communication
  • 🔧 Projects: Smart notification infrastructure, terminal group chat, live sensor dashboard

  • Sensor → Controller → Broker → Client architecture
  • Functional decomposition, system diagrams
  • Smart home architecture, smart health monitoring architecture

  • Driver functions, hardware abstraction layers
  • Modular embedded programming, sensor drivers
  • Non-blocking systems, event loops, timing systems
  • State machines, concurrent embedded tasks

  • Processes, threads, queues
  • Concurrent task management
  • Multi-sensor coordination

  • TinyML fundamentals, embedded inference
  • Local classification, edge intelligence
  • Low-power AI on microcontrollers — no cloud dependency
  • 🔧 Project: AI classification running on embedded hardware

  • Device authentication, secure communication
  • TLS concepts, device protection
  • Secure messaging systems
  • 🔧 Project: Secure authenticated IoT platform
Why Choose Us

Why Learners Choose ItsMyBot

Hands-On Learning with Live Coding

Learn through live coding sessions and practical builds, not just theory. Every concept is implemented step-by-step for better understanding.

Projects in Every Module

Each module includes practical projects, helping you apply concepts immediately and build real working systems as you progress.

Full-Stack IoT Coverage

The course covers end-to-end IoT development — from device communication and networking to cloud, AI, and system integration.

Dedicated Modules for MQTT & TinyML

Learn MQTT protocols and TinyML concepts in dedicated modules, ensuring you gain focused, in-depth understanding of these critical areas.

IoT Security with Implementation

Understand how to build secure IoT systems with practical implementation, not just theoretical concepts.

System Design & Architecture Training

Learn how to design complete IoT systems, including architecture planning and real-world deployment thinking.

Student Success Stories That Inspire

Our student projects showcase the incredible innovation of young minds guided by expert instruction. From mobile apps that help the visually impaired navigate safely to AI systems that detect emotions and respond with appropriate music, our students are already making a difference in the world.

Quake Ready App with IoT and 3-Axis Accelerometer (Python STEM Board)

Career Outcomes

Career Roles This Course Prepares You For

IoT Engineer

Skills:
MQTT
Python
IoT architecture
REST APIs

Embedded Systems Engineer

Skills:
Embedded C
concurrency
drivers
state machines

Edge AI Engineer

Skills:
TinyML
embedded inference
edge intelligence

MQTT Developer

Skills:
Broker design
topic architecture
device communication

IoT Security Specialist

Skills:
TLS
device auth
secure messaging

Connected Systems Architect

Skills:
End-to-end system design
IoT architecture

Smart Device Developer

Skills:
Sensors
actuators
real-time communication

TinyML Developer

Skills:
Low-power AI
local classification
embedded ML
Free Download

Free Download: IoT Career Roadmap 2026

From zero to loT Engineer, the exact skills, tools, and milestones to land your first embedded/loT role-mapped by hiring demand.
faqs

Get to Know Us Better

This course is designed for electronics students, computer science students, embedded engineers, IoT developers, Python programmers, automation professionals, and AI engineers looking to enter embedded systems. It is also suitable for students aged 16 and above who have an interest in connected systems.

The course covers computer networking for IoT, Python socket programming, HTTP and REST APIs with Flask, MQTT protocol, WebSockets, IoT system architecture, embedded systems programming, advanced embedded concurrency, Edge AI and TinyML, predictive analytics, and IoT security.

Basic familiarity with Python is helpful. The course builds from networking fundamentals, so you do not need prior embedded systems experience to follow the content.

You will build systems including a Smart School Safety System, Smart Notification Infrastructure, Smart Street Light System, Interactive IoT Game Platform, Smart Embedded Controller, Smart City Platform, and a Secure Health Monitoring System.

Yes. There is a dedicated module on IoT security covering device authentication, TLS, secure communication, and secure messaging systems.

Yes. A full module covers TinyML fundamentals, embedded inference, local classification, and running AI directly on microcontrollers without cloud dependency.

Book a free demo class. You will attend one live session to experience the teaching style and course structure before making any payment.

If You Can Imagine a Smarter World, You Can Build It

Thousands of connected devices are being deployed every second — and engineers who can build, secure, and scale them are in high demand.
Empowering children with the right skills today enables them to drive innovation tomorrow. Join us on this exciting journey, and let's unlock the boundless potential within every child.
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