HIGAET IoT Engineering
Learn sensors, microcontrollers, MQTT messaging, and telemetry pipelines while deploying connected monitoring solutions through HIGAET Practical Training applied device projects.
Duration
8 weeks · 6-8 hours/week
Level
Intermediate
Delivery
Online
Status
Open for enrollment
Why this technology matters.
IoT engineering connects the physical world to software through sensors, microcontrollers, and messaging, and it matters now because monitoring temperature, motion, and environments drives decisions in homes, farms, factories, and cities. You will learn how sensing, firmware, messaging, and cloud telemetry fit into one working loop.
It is used for connected monitoring such as environmental sensing, equipment alerts, and telemetry dashboards backed by databases. It solves continuous visibility and early warning well, but it does not fix unreliable power and networks, more sensors do not fix bad calibration, and dashboards do not fix bad measurements.
By the end you will be able to build a temperature, motion, and environmental sensor circuit with sampling and alert firmware, an MQTT and HTTP messaging flow for constrained devices, and a cloud-connected telemetry pipeline feeding dashboards and databases.
Why this course exists
Toy demos blink an LED or post one reading, while production devices must handle sleep modes, sampling rates, dropped messages, and noisy sensors for weeks at a time. This course teaches the arc from sources to firmware to messaging to pipelines to decisions, so you can deploy monitoring solutions that keep working outside the lab.
Know exactly what you're signing up for.
Who is this for
Prerequisites
- No previous IoT experience required
- Basic Python familiarity helpful
- Comfortable with computers and networks
Technologies & tools
Skills you'll gain
A 8 weeks arc, module by module.
- Module 01
Module 01 — Foundations: IoT architecture, sensors, and actuators
- Module 02
Module 02 — Core: microcontrollers, GPIO, and embedded programming
- Module 03
Module 03 — Core: wireless protocols, Wi-Fi, Bluetooth, and LoRa basics
- Module 04
Module 04 — Engineering: MQTT brokers, topics, and message design
- Module 05
Module 05 — Engineering: edge gateways, filtering, and local rules
- Module 06
Module 06 — Advanced: telemetry pipelines, storage, and dashboards
- Module 07
Module 07 — Production: device management, updates, and security operations
- Module 08
Module 08 — Capstone: deploy an end-to-end connected monitoring system
Practical Training Flow
Learning → Guided Labs → Independent Practice → Industry Project → Capstone → Portfolio → Career Preparation. Practical hours are tracked alongside instructional hours and surfaced on the certificate.
Delivery as HIGAET Practical Training / Experiential Learning.
What you'll be able to do.
- Build sensor circuits for temperature, motion, and environmental data
- Design MQTT and HTTP messaging flows for constrained devices
- Develop firmware logic for sampling, sleep modes, and alerts
- Deploy device telemetry to cloud dashboards and databases
- Integrate edge gateways, brokers, and device shadows
- Evaluate power, connectivity, and reliability trade-offs
- Secure devices with authentication, encryption, and updates
- Automate device provisioning, testing, and data validation
You will build.
Every project ships as HIGAET Practical Training / Experiential Learning — portfolio-ready work, not exercises.
- Project 01
Temperature and motion sensor circuit
- Project 02
MQTT messaging flow for constrained devices
- Project 03
Firmware sampling and alert logic
- Capstone
Connected monitoring solution with cloud telemetry dashboard
Speak the language first.
- Sensor circuits
- Wiring that connects temperature, motion, and environmental sensors to a microcontroller for measurement.
- Microcontrollers
- Small programmable chips that read sensors, run firmware logic, and send data onward.
- MQTT messaging
- A lightweight publish-and-subscribe protocol that lets constrained devices send short messages efficiently.
- Telemetry pipelines
- The path sensor data follows from device to database to dashboard for monitoring.
- Sampling and sleep modes
- Firmware techniques that wake the device to take readings then sleep to save battery.
- Threshold alerts
- Rules that trigger a notification when a reading crosses a configured limit.
- Cloud dashboards
- Web views that chart live and historical device readings for operators.
- Device provisioning
- Registering each device with credentials and topics so it connects to the right messaging flows.
Fix, check, and go deeper.
Troubleshooting & common mistakes
Sensor readings are noisy or drift over time
Check wiring and power stability, add averaging and calibration offsets, then re-sample against a known reference.
Device connects but MQTT messages never arrive
Verify broker address, topic names, and credentials, then subscribe with a test client to isolate the break.
Battery drains far faster than expected
Measure wake time per cycle, lengthen sleep intervals, and disable unused peripherals in firmware.
Dashboard shows gaps in telemetry
Add local buffering with retry on reconnect, then backfill and confirm the ingestion rate limits.
Alerts fire constantly or never fire
Review threshold values and debounce windows, then tune hysteresis so brief spikes do not trigger.
Before you move on, you should be able to
- Explain how sensors, microcontrollers, and messaging form an IoT system
- Build sensor circuits for temperature, motion, and environmental data
- Design MQTT and HTTP messaging flows for constrained devices
- Build firmware logic for sampling, sleep modes, and alerts
- Deploy device telemetry to cloud dashboards and databases
- Evaluate telemetry reliability under poor connectivity and power limits
- Deploy registered devices with secure credentials and monitored topics
Start your application.
Share a few details and a HIGAET advisor will reach out within one business day with next steps.
Common questions
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