Microsoft Azure IoT For Beginners

Explore cloud computing fundamentals, including IaaS, PaaS, and SaaS, and examine Microsoft Azure's architecture, costs, and public, private, and hybrid cloud models.

Explore the four core subsystems of Azure IoT architecture—IoT devices, cloud gateway, stream processors, and user interface—and optional subsystems like intelligent edge devices, data transformation, and machine learning.

Explore the Azure portal overview, including the portal menu, home, dashboards, services, resource groups, and free credits and subscriptions, with tips on sign-in and cloud shell.

Learn how Azure billing and cost management help you estimate costs, set budgets, and monitor spending with alerts and cost analysis across subscriptions.

Learn how the Azure IoT Hub acts as a secure central message hub, enabling device telemetry routing, OTA updates, and integration with Azure Event Grid, Logic Apps, and Stream Analytics.

Explore how the Azure Device Provisioning Service enables zero-touch, just-in-time provisioning of thousands of devices to the right IoT hub, with enrollment lists, secure attestation, and multiple allocation policies.

Azure Stream Analytics enables real-time, serverless streaming with end-to-end pipelines, using inputs from IoT hub or blob storage and outputs to SQL database, blob storage, service bus, or Cosmos DB.

Explore the Azure Service Bus as a serverless PaaS messaging service for decoupled cloud apps, with queues, topics, subscriptions, and namespaces for reliable publish/subscribe messaging.

Discover Azure blob storage, an object storage solution for unstructured data, featuring storage accounts, containers, and blobs with secure, scalable access.

Automate and integrate data, apps, and services with Azure Logic Apps, a scalable cloud service using triggers, actions, and connectors to build workflows without code.

Explore Azure Time Series Insights (TSI) as an end-to-end IoT monitoring, analytics, and visualization service for ingesting, storing, querying, and visualizing time-series data at scale.

Explore Azure IoT hub service and device SDKs, provisioning SDKs, and Python SDK setup on Raspberry Pi 4; provision with DPS, secure connections, and visualize telemetry via TSI Explorer.

Install the Azure IoT Python SDK on Raspberry Pi 4 via pip, clone the repository, and explore device and service libraries with features like authentication, device-to-cloud messaging, and device twins.

Install the Azure IoT library for embedded C in the Arduino IDE, then explore the API overview and ESP32 sample code to connect to the Azure IoT hub via mqtt.

Provision and manage an IoT device with Azure DPS by linking DPS to an IoT hub, enrolling devices (symmetric key or X.509), and provisioning via Python or other language samples.

Establish a secure connection to the Azure IoT Hub with the Raspberry Pi simulator to transmit telemetry, and set up storage, blob storage, and Azure Stream Analytics to process data.

Set up Time Series Insights environment and visualize telemetry data from the Raspberry Pi online simulator in near real time using TSI Explorer, viewing humidity and temperature.

Develop Azure IoT capstone by wiring ESP32 with DHT11 to Azure IoT Hub, routing telemetry with Stream Analytics and Time Series Insights, storing in Blob, visualizing via Raspberry Pi4.

Interface the DHT11 with ESP32, install the DHT and Adafruit libraries in the Arduino IDE, and register the ESP32 to the Azure IoT hub via Raspberry Pi 4.

Implement code on ESP32 to read the DHT11 sensor data, connect to Wi‑Fi, and send a JSON message to the Azure IoT Hub, then view data in the portal.

Route telemetry from the Azure IoT Hub to blob storage and service bus topics using stream analytics, with secure two-way device–cloud communication and practical setup steps.

Explore Raspberry Pi 4 code implementation to read Azure IoT hub data from the service bus topic using Python and view it in the Raspberry Pi terminal.

Create an end-to-end Azure IoT project by implementing logic apps and stream analytics for temperature alerts, and sending notifications via Twilio and Gmail using a service bus queue.

Implement event triggering and verify temperature alerts via email and mobile, then visualize near real-time ESP32 telemetry in Azure Time Series Insights Explorer.

Recap the core Azure IoT concepts and services covered, including IoT Hub, Device Provisioning Service, Stream Analytics, Service Bus, Blob Storage, Logic Apps, and TSI.