Connected devices generate data continuously. This course covers the full IoT stack: device architecture, MQTT messaging, ESP32 programming in C/MicroPython, AWS IoT Core ingestion, real-time dashboards, and the security practices that keep devices from becoming attack vectors.
This is a text-first course that links out to the best supporting material on the internet instead of trying to replace it. The goal is to make this the best course on iot engineering and connected device development you can find — even without producing a single minute of custom video.
This course is built by people who ship production iot systems for a living. It reflects how things actually work on real projects — not how the documentation describes them.
Every day has working code snippets you can paste into your editor and run right now. The emphasis is on understanding what each line does, not memorizing syntax.
Instead of shooting videos that go stale in six months, Precision AI Academy links to the definitive open-source implementations, official documentation, and the best conference talks on the topic.
Each day is designed to finish in about an hour of focused reading plus hands-on work. You can do the whole course over a week of lunch breaks. No calendar commitment, no live classes, no quizzes.
Each day stands alone. Read them in order for the full picture, or jump straight to the day that answers the question you have today.
Device tier, gateway tier, and cloud tier. How sensor data flows from hardware through edge processing to cloud storage and analytics. The tradeoffs that determine where processing lives.
The MQTT publish/subscribe protocol, QoS levels, retained messages, and how MQTT compares to HTTP and CoAP for constrained devices.
Programming the ESP32 microcontroller in C with ESP-IDF: connecting to WiFi, reading sensors, publishing MQTT messages, and managing power consumption.
AWS IoT Core message routing, Lambda processing, DynamoDB storage, and Grafana dashboards for real-time sensor data visualization.
TLS mutual authentication, certificate provisioning, device identity with hardware security modules, OTA update signing, and the OWASP IoT Top 10.
Instead of shooting our own videos, Precision AI Academy links to the best deep-dives already on YouTube. Watch them alongside the course. All external, all free, all from builders who ship this stuff.
Full IoT stack walkthrough from device to cloud. MQTT broker setup, device publishing, and cloud subscription.
Getting started with the ESP32: WiFi connection, sensor reading, and MQTT publishing.
Connecting devices to AWS IoT Core, message routing with IoT Rules, and Lambda processing.
TLS mutual auth, certificate provisioning, and securing IoT devices against the OWASP IoT Top 10.
The best way to understand any technology is to read the production-grade implementations that prove it works. These repositories implement patterns from every day of this course.
Espressif’s official SDK for the ESP32. The WiFi and MQTT driver source is the reference for Day 3 device programming.
The open-source MQTT broker used in Day 2 local testing. Reading the bridge configuration shows how to connect local and cloud brokers.
The official Python SDK for connecting to AWS IoT Core. Used in Day 4 cloud ingestion examples.
The open-source RTOS for IoT devices. Supports MQTT, CoAP, and 6LoWPAN natively. The architecture reference for Day 1.
You build devices. This course teaches the messaging protocols, cloud services, and security patterns that connect your hardware to the internet.
You know AWS. This course teaches the device-side constraints that make IoT engineering different from cloud-only work.
You need end-to-end understanding — from sensor to dashboard. This course covers the full IoT stack with real hardware examples.
The 2-day in-person Precision AI Academy bootcamp covers IoT engineering and connected device development hands-on. 5 U.S. cities. $1,490. 40 seats max. June–October 2026 (Thu–Fri).
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