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Course Description Video (Must Watch)

Embedded RESTful APIs for IoT with AWS: From Embedded Systems to AWS Services

Complete Source Code Included

10+ hours of training content

Building Scalable IoT Solutions with RESTful APIs and AWS

Navigating the Intricacies of the Controller Area Network(CAN)

Alright, let me ask you something...

Do you know what a RESTful API is?

If you do, awesome, you’re already ahead of the game.

But if not… let me paint a picture for you.

Picture this: you’ve got a bunch of IoT devices out there, sensors, microcontrollers, the whole works, monitoring crucial equipment, collecting data, and maybe even keeping an eye out for potential issues.

And every time something happens, these devices need to do more than just log data.

They need to trigger a series of actions automatically:

Log the issue in a cloud database.
Alert specific teams with real-time notifications.
Open a support ticket for immediate follow-up.
Update a dashboard for managers to track in real-time.

Sounds like a complex system, right? It is. But with the power of RESTful APIs and AWS services, you can make it all work together seamlessly.

Why RESTful APIs Are the Key

This course is your all-in-one guide to building RESTful APIs that handles the entire process—from collecting data to triggering actions—using AWS services.

Here’s the thing: RESTful APIs aren’t just about sending data from Point A to Point B. They’re about creating an organized, reliable, and secure system where every endpoint has a purpose, every request is trackable, and every action flows smoothly.

Imagine creating a RESTful API that uses AWS services like:

API Gateway to control and secure access,
DynamoDB to store and manage large volumes of IoT data,
AWS Lambda to handle automated actions and notifications.

With a RESTful API, you can do more than just send data. You can make your devices trigger notifications, open tickets, update dashboards, and even allow users to adjust settings or delete data remotely. All through a single, well-structured API that YOU design and control.

What You Will Learn

The “Magic” Behind RESTful APIs
Ever wonder why RESTful APIs have become one of the main standards for web and IoT communication? We’ll break down the core principles of REST—statelessness, resource-based URLs, and client-server models—and why these are game-changers for scalable, efficient APIs.

The of HTTP Methods for IoT
You’ve heard of GET and POST. But why stop there? You’re going to learn how to wield HTTP methods like GET, POST, PUT, and DELETE to make your devices do exactly what you want—whether it’s reading sensor data, sending updates, or managing devices remotely.

Data Structuring with JSON
We’ll dive into JSON, the universal data format that makes API communication smooth and reliable. You’ll learn how to structure your IoT data, send it across the web, and ensure it’s easy to read and process.

Error Handling and Status Codes: Communication Clarity
Ever get an error and have no clue what it means? Say goodbye to that frustration. You’ll learn how to use status codes effectively, handle errors like a pro, and keep your devices communicating smoothly—even when things go wrong.

API Security (Keeping the Bad Guys Out)
Want to make sure only authorized devices can access your API? We’ll cover API keys, HTTPS, and rate limits—everything you need to lock down your data and keep it safe from unauthorized access.

Hands-On Learning with Real-World Applications

This course isn’t about watching videos and memorizing concepts. It’s about building a real IoT monitoring system from scratch, with a fully functional RESTful API backend powered by AWS.

Here’s what you’ll be doing:

Developing the STM32 drivers and aws client for Wi-Fi connectivity to send data directly to the cloud.
Configuring AWS API Gateway to control access and manage all incoming requests.
Implementing AWS DynamoDB database to store and manage data from your IoT devices.
Writing AWS Lambda functions to handle automated workflows, notifications, and actions triggered by incoming data.

By the end, you’ll have a RESTful API that connects your IoT devices to the cloud, manages data in real-time, and even triggers actions automatically when specific conditions are met. This is real, hands-on learning designed to give you the skills to create systems that are scalable, secure, and ready for real-world applications.

Some Key Areas Covered:

Cortex-M23/M33 roles and ARMv8-M Architecture
TrustZone's Features and Security Enhancements
SAU and IDAU Security Attributions
GPIO Control in Secure and Non-Secure Applications
UART Secure Trace Communication with TrustZone
Interrupt Switch between Secure and Nons-Secure Applications
DMA Memory-to-Memory Data Transfer Over Secure and Non-Secure DMA Channels
Flash Block-Based Security in TrustZone
RCC Clock Configuration with TrustZone
RealTime Clock Configuration with TrustZone
TrustZone in RealTime Operating Systems

TrustZone with Peripherals

A little about me : Israel Ninsaw Gbati

Some of you may have taken some of my embedded systems courses from other online platforms.

This is my private channel.

I have been writing embedded firmware for years, I have built embedded devices like consumer products and robotic arms.

Till date I have

trained over 100,000 students in embedded

firmware development online till date

...including third year undergraduate university students in-person.

If you have taken any of our courses before you will know I start from the absolute basics, I do not assume that the student has any prior knowledge of the topic under discussion. You will also know that by the end of the course you understand the functions of every register used in developing the particular firmware or driver.

This method is the same for all of my published embedded systems courses.

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