Video 1.1 introduction to the course. Hi, Dave. Welcome to the course introduction to AWS IoT. My name is saya even. I'm part of the instructor team at maker dummy, and I will be your instructor for this course. I'm an Electronics and Communication engineer by education and am passionate about teaching technology.

I have experience working with microcontroller ESP 32, and micro computer Raspberry Pi. I'm also passionate about the Internet of Things. So let's get started. section one getting started with AWS IoT Core. In this section, we will cover the following introduction to the course introducing AWS IoT exploring AWS IoT creating a budget and billing Alert, the road ahead, Introduction to the course. In this video, we will cover the following target audience course prerequisites, learning outcomes and the course roadmap.

So, who is the target audience, an engineer who wants to start working with one of the most popular cloud based IoT platforms? a hobbyist looking to enter the world of the internet of things, a student who wants to build projects in IoT using Amazon Web Services or anyone with basic programming experience and an interest to learn. If you are one of these, then this is the right course for you. Let us now look at the course prerequisites. basic knowledge on Raspberry Pi, basic familiarity with programming in the Arduino ID, basic Python knowledge. Now you might be asking, What will I learn by the end of the course by the end of the You will be confident enough to build real time applications using various Amazon web services have a clear understanding of various Amazon Web Services know how to connect a microcomputer, which is a Raspberry Pi to AWS cloud, know how to connect a microcontroller that is sparkfun ESP 32 thing to AWS cloud, know how to connect AWS IoT Core with various other AWS services.

Let us now look at the course roadmap. We will first get started with AWS IoT code. Next, we will connect things to AWS IoT Core. After that, we will send notifications and shedule events using various Amazon Web Services. Then, we will trigger an LED connected to Raspberry Pi with AWS cloud and ESP 32. Finally, we will visualize the sensor data using Amazon quick site.

So what components should you buy? To finish this course, you may go through the components list, we went in the resources to get a section A section breakdown and the links to buy them. The most essential components for this course are the Raspberry Pi three Model B plus sparkfun, ESP 32 thing. ultrasonic sensor module, head CSS zero for temperature and humidity sensor DHT 11. During the course, if you need any help in understanding or implementing concepts, please follow these best practices to make the learning process more interactive and fluid. Resist the concept or implementation yourself using online resources.

If your query is still not solved, then you may do a quick search in the q&a section of the course. If your query hasn't been answered in the q&a section already, please submit a new question there. Your query must include relevant details like error messages, screenshots, and description. Your questions are my top priority, and I will do my best to get back to you at the earliest. Throughout the course, I have provided a curated collection of resources. These resources include links to complete codes, documents for in depth learning, blogs, videos, and more.

Made sure that you go through the resources in every section. All the codes and libraries are saved in a GitHub repository that organize section wise for ease of access to you the learner. I will now show you how to collect all the codes onto your computer. First, click the repository link given in the resources. Now, click on the clone or download button. After that, select Download zip.

After downloading extract the file to get access to all the code and libraries So why are you waiting? Come join me in this course. I'm looking forward to being your instructor and to guide you in building IoT applications using Amazon Web Services summary. In this video, we have covered overview of the course. Then the target audience and the course prerequisites, learning outcomes course roadmap and some best practices for a great learning experience. In the next video, we will learn what AWS IoT is