IoT & Robotics · Intermediate

Category 2 — Wireless Communication & Smart IoT (ESP32)

Build practical IoT solutions through hands-on learning with the ESP32. This course introduces wireless communication technologies including Wi-Fi, Bluetooth, HTTP, MQTT, cloud connectivity, and TinyML, enabling learners to develop intelligent conne…

15 lessons

About this course

Build practical IoT solutions through hands-on learning with the ESP32. This course introduces wireless communication technologies including Wi-Fi, Bluetooth, HTTP, MQTT, cloud connectivity, and TinyML, enabling learners to develop intelligent connected devices. Students explore sensor integration, local web servers, cloud databases, real-time telemetry, over-the-air (OTA) updates, and embedded machine learning to create scalable IoT applications.

Learners progressively apply these concepts to develop a Smart IoT Monitoring Station as the capstone project, integrating sensors, cloud communication, real-time dashboards, and intelligent edge processing.

Each lesson in this course includes clearly defined learning objectives, required components, circuit connections, program code, explanation of the working principle, and a simulation or demonstration link, enabling students to build, test, and deploy connected IoT systems with confidence.

Curriculum

1
2.1: Local Hardware I/O Integration — LED Array Control
Notes
Free
2
2.2: Interrupt-Driven Hardware Inputs & Software Debouncing
Notes · 30 min
Free
3
2.3: Bus Topologies — Interfacing an I2C Character Display
Notes · 30 min
Free
4
2.4: Environmental Telemetry — Interfacing Digital DHT Sensors
Notes · 30 min
Free
5
2.5: Intermediate Capstone — Independent Localized Weather Station
Notes · 30 min
Free
6
2.6: Network Layer Operations — Access Point Authentication & IP Allocation
Notes · 30 min
Free
7
2.7: Local Host Operations — Designing an Interactive ESP32 Web Server
Notes · 30 min
Free
8
2.8: REST API Client Architecture — Serialization and Parsing of JSON Payloads
Notes · 30 min
Free
9
2.9: Machine-to-Machine (M2M) Telemetry — Implementing the MQTT Protocol
Notes · 30 min
Free
10
2.10: Macro System Capstone — Enterprise Industrial Automation Node
Notes · 30 min
Free
11
Practical 2.11: Cloud Persistence Architectures — Integrating Google Firebase Databases
Notes · 30 min
Free
12
Practical 2.12: Embedded Machine Learning — Inline Iris Data Flower Classification
Notes · 30 min
13
PRACTICAL 2.13: Visual Data Acquisitions — Interfacing the ESP32 Camera Subsystem
Notes · 45 min
14
PRACTICAL 2.14: Edge Computer Vision — Localized Human Facial Detection
Notes · 45 min
15
PRACTICAL 2.15: Category Capstone — Automated Smart Attendance & Asset Management Hub
Notes · 45 min
Category 2 — Wireless Communication & Smart IoT (ESP32)
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LevelIntermediate
Lessons15
CategoryIoT & Robotics