If you want to make career in Internet of Things: an evolving technology than this course is for you. You will learn everything from high level controllers to interactive dashboard designing. Internet of Things is a general term used for devices talking over a network for the purpose of Monitoring, Analysis & Control without any human interference. As per the definition you will learn the design for all three aspects of IoT i.e. Monitoring, Analysis & Control
Internet of Things (IoT) - The Mega Course
3h 25m 36s
English
Paid
This course is based on hands on approach where you will be doing various projects with different hardware and with different communication technologies so that you will not be limited to one platform.
You will do these 4 Major Projects which you can include in your CV as well
1. Weather Station Using Arduino
2. Water Level Email Notifier using Raspberry Pi
3. Water Level Indicator with a Globally accessible Dashboard
4. Smart Bulb which can be controlled from anywhere on the globe.
After doing all these high level stuffs your IoT design skills will improve gradually.
All the best!
Requirements:
- Beginner level knowledge of Programming.
- Having a beginner level understanding of electronic and electrical circuits is recommended but not necessary
- Having access to Raspberry Pi or Arduino
Who this course is for:
- Anyone who is interested in learning about new technologies
- Students , developers and technical designers
What you'll learn:
- Understand what Internet of Things are?
- Controlling home appliances from anywhere in the world
- Use some of the physical devices like Arduino and Raspberry Pi
- Design some of the IoT applications
- Attractive Dashboard design for different applications
About the Author: Udemy
Udemy is the largest open marketplace for online courses on the internet. Founded in 2010 by Eren Bali, Oktay Caglar, and Gagan Biyani and headquartered in San Francisco, the company went public on the Nasdaq in 2021 under the ticker UDMY. The platform hosts well over two hundred thousand courses across software development, IT and cloud, data science, design, business, marketing, and creative skills, taught by tens of thousands of independent instructors. Roughly seventy million learners use it worldwide, and the corporate arm — Udemy Business — supplies a curated subset of that catalog to enterprise customers.
Because Udemy is a marketplace rather than a single editorial publisher, the catalog is uneven by design. The strongest material lives in the long-form, project-based courses authored by working engineers — full-stack JavaScript, React, Node.js, Python data science, AWS, Docker and Kubernetes, mobile development with Flutter and React Native, and cloud certification preparation. The CourseFlix listing under this source is the slice of that catalog that has been mirrored here for offline-friendly viewing, organized by topic and updated as new releases land. Pricing on Udemy itself swings dramatically with the site's near-permanent sales, which is why the platform is best treated as a deep reference catalog: pick instructors with strong reviews and a track record of updating their material rather than buying on the headline price alone.
Watch Online 44 lessons
0:00
/ #1: Who we are? & What we gonna do?
All Course Lessons (44)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Who we are? & What we gonna do? Demo | 02:37 | |
| 2 | Exact Definition of IoT! | 03:10 | |
| 3 | What are the Things in IoT? | 01:27 | |
| 4 | Introduction to Section 3 | 01:25 | |
| 5 | Introduction to Section 4 | 01:05 | |
| 6 | General Block Diagram | 04:49 | |
| 7 | Role of Micro-controllers | 04:08 | |
| 8 | How Things Communicate? | 04:27 | |
| 9 | Does every IoT has "Internet"? | 01:51 | |
| 10 | Intro to Section 5 | 01:14 | |
| 11 | Some Basic Circuits | 04:13 | |
| 12 | Intro to Section 6 | 03:12 | |
| 13 | Technical Description of Arduino | 05:04 | |
| 14 | Setting Up Arduino IDE | 06:52 | |
| 15 | Blinking LED | 08:19 | |
| 16 | Reading a Button | 07:18 | |
| 17 | Project 1: Smart Lighting for Your Smart Home | 06:09 | |
| 18 | Intro to Section 7 | 02:00 | |
| 19 | Technical Description of RPi | 08:38 | |
| 20 | Raspberry Pi Vs Arduino | 04:22 | |
| 21 | Operating Systems for RPi | 03:41 | |
| 22 | Preparing SD Card for Pi | 04:11 | |
| 23 | Exploring Raspberry Pi Environment | 05:15 | |
| 24 | Intro to Section 8 | 02:59 | |
| 25 | Basic Python Programming | 13:41 | |
| 26 | Controlling GPIO's with Python | 13:34 | |
| 27 | Project 2: Distance Measurement through UItrasonic Sensor | 05:51 | |
| 28 | What we have covered in IoT? | 03:06 | |
| 29 | Weather Station Using Arduino | 01:52 | |
| 30 | Reading Temperature Sensor | 04:00 | |
| 31 | Creating a Channel on Thingspeak | 06:58 | |
| 32 | Introduction to Sim800/900 | 04:40 | |
| 33 | Code for Weather Station | 08:50 | |
| 34 | Intro to Section 11 | 01:02 | |
| 35 | Fun with Node-RED | 06:29 | |
| 36 | Building our Application | 05:35 | |
| 37 | Water Level Indicator with a global dashboard | 01:32 | |
| 38 | Creating account on IBM Bluemix | 03:23 | |
| 39 | Creating Water Level Indicator Application on Bluemix | 10:32 | |
| 40 | Coding Raspberry Pi as Data Logger | 04:29 | |
| 41 | Control a bulb from anywhere in the world | 01:19 | |
| 42 | Creating NodeRED Application for project | 05:53 | |
| 43 | Programming RPi for Smart Bulb App | 03:23 | |
| 44 | What we learnt? & Good Bye | 01:01 |
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Frequently asked questions
What prerequisites should I have before enrolling in this IoT course?
Before enrolling in this course, it is beneficial to have a basic understanding of electronics and programming. Familiarity with microcontrollers such as Arduino and Raspberry Pi, which are covered in detail, will be particularly helpful. Basic Python programming is introduced, but having prior experience with Python will allow you to focus more on the IoT-specific content.
What projects will I complete during the course?
The course includes hands-on projects such as creating a Smart Lighting system for a smart home and a Distance Measurement system using an ultrasonic sensor. Additionally, you will build a Weather Station using Arduino, a Water Level Indicator with a global dashboard, and a Smart Bulb application that can be controlled from anywhere globally. These projects help apply the concepts of monitoring, analysis, and control in IoT.
Who would benefit most from taking this course?
This course is ideal for individuals looking to start a career in IoT, including students, hobbyists, and professionals in technology fields. It covers fundamental concepts and practical applications, making it suitable for those seeking to understand how devices communicate over networks for monitoring, analysis, and control without human intervention.
How does the depth and scope of this course compare to other IoT courses?
This course provides a broad overview of IoT with a focus on practical applications using microcontrollers like Arduino and Raspberry Pi. It covers the essentials from basic circuits to advanced topics like creating dashboards on IBM Bluemix. While some courses may delve deeper into specific areas, this course offers a comprehensive introduction to the key components and functionalities of IoT systems.
What specific tools or platforms are taught in the course?
The course teaches how to use Arduino and Raspberry Pi for IoT applications. It covers setting up the Arduino IDE, programming environments for Raspberry Pi, and using platforms like Node-RED and IBM Bluemix to create applications. Students will also learn to create channels on Thingspeak for data analysis and control.
What topics are not covered in this IoT course?
The course does not cover advanced data analytics or machine learning applications in IoT. While it introduces basic Python programming, it does not delve into advanced programming concepts or complex network protocols beyond the essentials needed for the projects included in the course.
How much time should I expect to commit to this course?
Although the total runtime of the course is not specified, students should expect to dedicate additional time for hands-on practice and completing projects. The course includes 44 lessons, so depending on your pace and prior experience, plan for several weeks of study, including time for building and testing the IoT projects.