Hands-on Lab Course

IoT Lab

Programming End-to-End Wireless IoT Systems & Applications

Master the full IoT stack — from embedded sensors and wireless protocols to cloud dashboards. Build real systems using MQTT, mioty, OPC-UA, and industry-grade toolchains.
120+ lab hours · ~12 weeks self-paced
Beginner to Advanced
Engineers, developers and graduates moving into IoT systems work.

Program Snapshot

6

MODULES

18+

HANDS-ON LABS

4

CAPSTONE SPRINTS

120+

LAB HOURS

IICT PEDAGOGY

Curriculum — From Basics to Project Ready

Self-paced modules designed in two structured phases. Each module bundles guided theory, hands-on labs and measurable learning outcomes.

01

Phase 01 — Basics

Learn the Technology

Introduction to Lab Tools

Get started with the IICT Virtual Lab — Linux, Git and Python essentials.

LEARNING OUTCOMES

  • Use the digital lab environment and toolchain
  • Apply Linux command-line and version control
  • Automate IoT workflows with Python

IoT Protocols & Interoperability

Practical understanding of MQTT, CoAP and REST and how data flows from devices to cloud.

LEARNING OUTCOMES

  • Compare IoT application-layer protocols
  • Analyze protocol performance and overhead
  • Design interoperable end-to-end IoT applications

02

Phase 02 — Experiments

Practice and Build

Programming Embedded Systems for Wireless IoT

Configure microcontrollers for IoT — register-level and HAL-based programming.

LEARNING OUTCOMES

  • Evaluate and select MCUs for IoT
  • Configure peripherals via register-level and HAL
  • Use modern IDEs for coding and debugging

Sensor Integration

Interface sensors with MCUs over UART, I²C and SPI; bridge to industrial OPC-UA.

LEARNING OUTCOMES

  • Understand sensor interfaces and signal characteristics
  • Program MCUs for I²C and SPI
  • Bridge embedded devices to industrial OPC-UA

Transmitting Data Wirelessly (mioty LPWAN)

Hands-on low-power wireless using mioty — KPI analysis, timing, and stack configuration.

LEARNING OUTCOMES

  • Understand LPWAN technologies and mioty
  • Compute network KPIs and timing budgets
  • Configure mioty stacks via serial

Performance Visualization & Persistence

Persist, monitor and visualize IoT data with InfluxDB, Grafana and Loki.

LEARNING OUTCOMES

  • Implement time-series data persistence
  • Build real-time Grafana dashboards
  • Set up complete logging and monitoring

HARDWARE & TOOLCHAIN

Real Equipment. Industry-Grade Tools.

Every lab runs on the same hardware and software stack used in industrial deployments — accessed remotely through the IICT Virtual Lab or shipped as a physical kit for institutional partners.

ESP32-S3 / STM32 MCU

mioty LPWAN Gateway

Industrial Sensor Array (I²C/SPI)

Mosquitto MQTT Broker

Grafana + InfluxDB Stack

What You'll Be Able to Do

Use the digital lab environment and toolchain
Compare IoT application-layer protocols
Evaluate and select MCUs for IoT
Understand sensor interfaces and signal characteristics

Self-paced

Certificate of Completion

Online Hosted

PHASE 03 — PROJECT READY

Capstone — IoT-Based Smart City

Develop a complete IoT prototype for real-time environmental monitoring — through structured agile sprints mirroring real-world development cycles.

S1

Network & System Setup

Establish IoT foundation — broker, simulated sensors, connectivity.

S2

Data Integration & Persistence

Build the backend with time-series storage and consistency.

S3

Visualization & Dashboard Creation

Turn sensor data into real-time, actionable dashboards.

S4

Scalability & Performance Evaluation

Stress test with many sensors; optimize bottlenecks.

Project Outcomes

  • Design and implement a functional IoT data pipeline
  • Apply performance analysis and visualization in a real scenario
  • Evaluate scalability and reliability through simulated load

Ready to start the IoT learning journey?

Enroll directly online, or request a bundled institutional / corporate license that covers cohorts, lab access and certification.