Hands-On Azure IoT

Course Title: 🚀 Hands-On Azure IoT: Device to Azure Cloud Integration with Real & Virtual Devices! 🚀

Course Instructor: Stephen Borsay

Headline: Dive into the World of IoT and Microsoft Azure - Transform Data from Devices to Impactful Analytics! 🌟

Course Description:

Embark on a transformative journey with our Hands-On Azure IoT course, where you will seamlessly connect and transmit real-time IoT data to the expansive Microsoft Azure cloud. Whether you're armed with a physical ESP32 or Raspberry Pi, or prefer to start with a free virtual IoT device, this course is designed for learners at all levels. 🖥️🌟

Why Enroll in This Course?

• Device Compatibility: Get hands-on experience with both physical (ESP32/Raspberry Pi) and virtual IoT devices.
• Azure Access: Sign up for a free Azure tier, or use your existing account to kickstart your IoT project.
• Programming Flexibility: Dive into IoT programming using various languages like Arduino, MicroPython, C (for ESP32), and Python & Node.js (for Raspberry Pi).
• Real-World Application: Learn to create custom IoT Data Producer programs that send data from your device to Azure.
• Azure Cloud Mastery: Explore IoT-centric design flows on the cloud, storing data in Azure Blob Storage and displaying it on a static website.
• Advanced Techniques: Utilize JavaScript for data charting and interact with a Cosmos database using custom-designed Azure Functions.

Course Highlights:

• IoT Device Programming: Gain proficiency in programming your IoT device, tailored to your preferred language.
• Azure Integration: Learn how to effectively transmit IoT data to Azure and manage it within the cloud ecosystem.
• Data Visualization: Understand and implement methods for storing and visualizing IoT data, creating insights from raw data.
• Cosmos Database & Azure Functions: Get hands-on experience with a Cosmos database and an Azure Function to query real-time IoT data.

What You'll Achieve:

• Expertise in Programming Embedded Devices: Develop your skills in programming IoT devices with various languages.
• Understanding of IoT Workflows on Azure Cloud: Gain a comprehensive understanding of typical IoT-centric workflows and how to implement them effectively within Azure.

Course Outline:

1. Getting Started with IoT Devices:

   • Setting up your physical (ESP32/Raspberry Pi) or virtual IoT device.
   • Initializing the Azure IoT Hub and Device Provisioning Service.

2. Programming Your IoT Device:

   • Using Arduino, MicroPython, C, Python, and Node.js to create custom IoT Data Producer programs.
   • Understanding device-to-cloud and cloud-to-device messaging.

3. IoT Data in Azure Cloud:

   • Storing IoT data in Azure Blob Storage.
   • Designing a static website for data visualization using JavaScript.

4. Advanced Azure IoT Workflows:

   • Integrating with a Cosmos database.
   • Creating a custom-designed Azure Function to query the Cosmos database.
   • Fetching and displaying data on your static website from the database.

5. Final Project:

   • A comprehensive project where you'll apply all the skills learned to create an end-to-end IoT solution.

By the end of this course, you'll have a solid foundation in integrating IoT devices with Microsoft Azure and understanding typical IoT workflows. You'll be equipped to turn data from IoT devices into actionable insights using cloud computing and analytics! 💡📈

Enroll Now to Embark on Your IoT Cloud Integration Adventure with Azure! 🚀🎉