Don't know where to start?
IoT feels like a massive maze. Between sensors, microcontroller pinouts, communication protocols (I2C, SPI, MQTT), firmware coding, and cloud dashboards, finding a clean starting point is incredibly overwhelming.
SESSION #02 • FREE LIVE SESSION & PERKS
IoT Tech Talk
☁️ Chip to Cloud
Watch IoT data travel live — from device to dashboard in your browser, completely free
SESSION #02 • COMING SOON
Session Date
Being Finalised
Being Finalised
ESP32 → MQTT → ThingsBoard → Dashboard → Alerts — all live, all free.
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Feeling Stuck Before You Even Begin?
Learning smart connected products sounds exciting, but transitioning into professional firmware development can feel like hitting a wall.
Worried hardware is too costly?
Worried that getting started with IoT requires a large budget? You can start learning and building with minimal hardware, focus only on the essentials, and avoid unnecessary expenses. We'll discuss practical ways to begin with low-cost equipment, collaborate with other learners, share resources and gradually scale your setup when needed.
Tired of scattered tutorials?
Disconnected YouTube tutorials, fragmented blog posts, and outdated courses leave you with half-working scripts and massive knowledge gaps. You need a structured, real-world roadmap to become a capable systems builder.
Who is this session for?
Whether you want to build professional firmware or understand smart system architectures, we designed this series to be highly actionable.
01
Students & Learners
Tired of raw theory and simulators that don't match reality? This is for students who want to understand industrial IoT networks, practical microcontroller circuits, and live telemetry databases.
02
Embedded & Firmware Developers
Learn how modern firmware is actually structured. We bridge the gap between simple Arduino scripts and clean, modular C/C++ firmware built for commercial scalability.
03
Frontend & IoT Application Developers
Web devs looking to branch out! Learn how to interface your apps with the physical world through real-time communication protocols (MQTT, HTTP APIs) and robust cloud relays.
04
AIoT Enthusiasts & Innovators
Perfect for DIYers who love smart home automation, node sensors, or custom dashboards, but want to elevate their engineering principles to professional, reliable industry standards.
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Session #02 Schedule
2 hours, 2 parts — we follow the data all the way from the chip to the cloud dashboard.
Part 1 — Chip (Firmware)
Part 2 — Cloud (Server & Dashboard)
01
10 Minutes · Welcome
Welcome & Session Overview
Quick introductions, session agenda, and what you'll be able to do by the end — understand exactly how a sensor reading on a chip ends up as a live graph in a browser.
Part 1 — Chip (Firmware)
02
15 Minutes · Hardware Setup
ESP32 & Sensor Setup
We wire up an ESP32 with a real sensor (temperature / humidity), walk through the GPIO/I2C connections, and confirm the hardware is reading live data before writing a single line of firmware.
- ESP32 board orientation & pinout
- I2C sensor wiring
- Serial monitor verification
03
25 Minutes · Live Firmware
Firmware: Read Sensor & Publish via MQTT
We write the firmware live — connect to WiFi, read sensor values, and publish telemetry payloads to an MQTT broker in JSON format. Every decision explained as we type.
- WiFi connection & reconnect logic
- MQTT client setup & broker credentials
- JSON payload structure & publish loop
04
10 Minutes · Verification
Verify — Data Leaving the Chip
Before touching the cloud, we confirm the chip is publishing correctly. We use an MQTT client tool to subscribe to the topic and watch real sensor data arrive in real time.
Part 2 — Cloud (Server & Dashboard)
05
15 Minutes · Server Setup
ThingsBoard & MQTT Broker Setup
We set up a free ThingsBoard cloud instance, create a device, and configure MQTT credentials so the ESP32 can connect and stream data directly into the platform.
- ThingsBoard free cloud account
- Device provisioning & access token
- MQTT topic mapping to telemetry keys
06
15 Minutes · Dashboard
Live Dashboard & Widgets
Build a real-time dashboard in ThingsBoard — time-series line charts, live value cards, and gauge widgets — all pulling from the ESP32 data already flowing in.
- Dashboard creation & layout
- Time-series chart & gauge widgets
- Live data refresh from device
07
15 Minutes · Alarms & Alerts
Alarms, Rules & Email Notifications
Configure a rule chain that triggers an alarm when a sensor value crosses a threshold, and sends an automatic email notification — a complete automated IoT response loop.
- Rule chain & alarm conditions
- Threshold-based triggers
- Email notification action
08
15 Minutes · Quiz & Wrap-up
Live Quiz, Q&A & Networking
A rapid-fire quiz on what we built, then an open floor for questions — firmware choices, MQTT broker options, ThingsBoard plans, career advice. Followed by snacks and networking with the team.
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Free entry · Limited seats available
The IoT Tech Talk Series
A growing roadmap of hands-on sessions — from first principles to advanced AIoT.
Past
Upcoming
Planned
Past
Session #01
The KickOff
The full IoT stack demystified — sensors, microcontrollers, MQTT, ThingsBoard dashboards, and mobile interfaces in one 2-hour live session.
ESP32
MQTT
ThingsBoard
Flutter
Completed
Upcoming
Session #02
Chip to Cloud
Follow live IoT data from an ESP32 through MQTT to ThingsBoard — real-time dashboards, alarms, and email alerts, all in your browser for free.
ESP32
MQTT
ThingsBoard
Alerts
Date being finalised
Planned
Session #03
Firmware Fundamentals
Professional C/C++ firmware architecture — FreeRTOS task management, UART/SPI/I2C drivers, and modular project structures for commercial IoT products.
C / C++
FreeRTOS
ESP-IDF
On the roadmap
Planned
Session #04
IoT Mobile Apps
Build cross-platform mobile apps that connect to live IoT data — real-time charts, MQTT subscriptions, and ThingsBoard API integration in Flutter.
Flutter
Dart
MQTT
REST API
On the roadmap
Planned
Session #05
AIoT — Edge Intelligence
Deploy lightweight AI models on microcontrollers for real-time anomaly detection, predictive maintenance, and smart automation at the edge.
TensorFlow Lite
ESP32
Edge ML
On the roadmap
More sessions being added to the roadmap
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