IOT (Internet of things)

Grasp the Core of IoT: Device, Network, and Data. You will gain practical skills in:

• IoT Hardware: Master the basics of the ESP32 and Raspberry Pi Pico W. You’ll learn to read data from sensors (like temperature, humidity, and motion) and control actuators (like LEDs, relays, and motors).
• Simple Programming: Learn to write simple code (using MicroPython or C++/Arduino) to make your hardware “think” and perform tasks.
• The “Internet” in IoT: Connect your projects to your Wi-Fi network. You’ll learn to send data out to the internet and receive commands from it.
• IoT Protocols: Learn the absolute basics of MQTT, the lightweight “language” of IoT, to send small, fast messages between your devices.
• Basic Dashboards: Use a simple, drag-and-drop service (like Adafruit IO or Blynk) to create a web dashboard to see your sensor data and control your devices from your phone.

Build Your First Smart Device This Weekend. Our program is designed for total beginners:

• Complete Starter Kit: You’ll get a kit with an ESP32, breadboard, wires, and a variety of sensors and actuators so you can build projects right out of the box.
• Follow-Along Projects: Our video labs guide you step-by-step through building classic beginner projects like a “Web-Controlled LED,” a “Wi-Fi Weather Station,” and a “Motion-Activated Email Alerter.”
• Code-and-Paste: We provide clear, well-commented code templates so you can get your projects working quickly and focus on understanding what each line does.

No! This Course Is for Tinkerers and Beginners. This course is perfect for:

• Hobbyists who have played with electronics but want to connect them to the web.
• Programmers who want to learn how to interact with the physical world.
• Anyone who wants to understand how smart devices really work. No programming or electronics experience is required.

Build Scalable, Cloud-Connected Systems. You’ve built a device; now learn to build a system. This course moves you from a single device on your Wi-Fi to managing a fleet of devices that communicate securely with a professional cloud platform. You’ll master the architecture of a true IoT solution, focusing on security, scalability, and robust data management.

Become an IoT Solutions Developer. You will gain deep, professional-level skills in:

• Cloud IoT Platforms: Master the fundamentals of a major cloud provider. You’ll learn to use AWS IoT Core or Azure IoT Hub to register devices, manage security certificates, and route data.
• Robust Data Handling: Go beyond simple dashboards. You’ll learn to send your device data to a cloud database (like DynamoDB or InfluxDB) and create powerful visualizations using Grafana.
• Serious IoT Security: Learn the “non-negotiables” of IoT security. You’ll replace simple passwords with X.509 certificates for device authentication and encrypt all your communication with TLS.
• Over-the-Air (OTA) Updates: Learn the most critical skill for managing a fleet of devices: how to update your device’s firmware and software remotely, without ever plugging it in.
• Low-Level Control: Move beyond the Arduino framework. You’ll learn to use the native ESP-IDF (C) or advanced Python libraries for more control over your device’s hardware, power, and connectivity.

Build a Production-Ready IoT Solution. This program is designed to build job-ready skills:

• Cloud Architecture Project: The entire course is built around one project: building a secure, end-to-end system for a fleet of (simulated and real) sensors that report to a central cloud platform.
• Security & Provisioning Lab: A dedicated module on creating, signing, and securely flashing device certificates at scale.
• Database & Dashboarding: You’ll build a custom Grafana dashboard that visualizes data from your cloud database, allowing you to track trends over time.
• Local Server Deployment: Learn to set up your own local MQTT Broker (like Mosquitto) and Node-RED server on a Raspberry Pi for a fully private, cloud-independent system.

This Course Is Not for Beginners. We expect you to have a solid foundation. This course is ideal for those who have:

• Successfully completed our IoT Foundation Course OR…
• Strong Hardware Skills: You must be comfortable building circuits with an ESP32/Pi Pico and programming them to read sensors.
• Programming Comfort: You must be comfortable with Python or C++ and understand functions, variables, and libraries.

Qualify for High-Demand IoT Roles. Graduates of this course will receive an IoT Systems Developer Certificate and a portfolio demonstrating a secure, cloud-native IoT solution. You will be a strong candidate for roles such as:

• IoT Developer
• Embedded Systems Engineer
• IoT Solutions Architect
• IoT Cloud Specialist

Bring Intelligence to the Edge. This is our capstone program. This course moves processing away from the cloud and onto the device. You’ll learn why sending every piece of sensor data to the cloud is slow, expensive, and insecure. You will master Edge Computing, Tiny Machine Learning (TinyML), and long-range networks to build autonomous devices that can make smart decisions all on their own.

Become an Edge AI & IoT Architect. You will gain elite-level skills in the most in-demand specializations:

• Edge Computing: Master the theory and practice of “The Edge.” You’ll learn to deploy and manage containerized applications (Docker) on powerful edge devices (like a NVIDIA Jetson Nano or Raspberry Pi 4/5).
• TinyML (Machine Learning on-device): Train a machine learning model (using TensorFlow Lite) to perform tasks like anomaly detection (is this motor vibrating abnormally?) or keyword spotting (did someone say “help”?) directly on a microcontroller (like an ESP32).
• Computer Vision at the Edge: Use your edge device to analyze video streams in real-time. You’ll implement object detection (YOLO) to count people, read license plates, or detect intruders, sending only the result (not the whole video) to the cloud.
• Advanced IoT Networks: Break free from Wi-Fi. You’ll learn to build and deploy devices using LoRaWAN (Long Range, Low Power) and Cellular IoT (LTE-M/NB-IoT), enabling you to build battery-powered devices that last for years and communicate over miles.
• Large-Scale Fleet Management: Learn the tools and architecture for managing thousands of devices, including device twins, secure provisioning, and automated CI/CD for embedded systems.

Build Autonomous Devices, Not Just Connected Ones. This program is structured to create industry leaders:

• AI on the Edge Capstone: Your main project: Build a device that uses a local AI model (either TinyML or on an edge gateway) to sense, analyze, and act on its environment in real-time, with no cloud dependency.
• LoRaWAN Field Lab: You’ll set up your own LoRa gateway and nodes, learning to provision devices on a network (like The Things Network) and understand the trade-offs of low-power, long-range communication.
• Containerized Deployments: A deep dive into using Docker and Docker Compose to package and deploy your processing code onto an edge gateway, making it reliable and easy to update.

This Is an Expert-Level Program. This course is for those with significant experience. We require:

• Completion of our Intermediate IoT Course OR…
• Professional IoT Experience: You must have a portfolio of multiple cloud-connected IoT projects.
• Strong Programming Mastery: High-level proficiency in Python is essential. C++ is highly recommended.
• Linux & Cloud Fluency: You must be comfortable with the Linux command line and have a solid grasp of at least one major cloud IoT platform (AWS or Azure).
• A basic understanding of Machine Learning concepts is helpful but not required (we’ll cover the practical application).

Become a Leader in the Next Generation of IoT. Completing this course positions you as a top-tier expert. You will receive an Advanced IoT & Edge Specialist Certificate and be a prime candidate for the most senior roles:

• IoT Architect
• Edge Computing Engineer
• AI/ML Engineer (IoT)
• Embedded AI Specialist
• Senior IoT Software Engineer