Getting started with Arduino IoT cloud from Udemy

Description

In this course you will learn about the NEW Arduino IoT Cloud Platform .

this course specially focus more on practical projects not on theory .

so i have designed this course in such way that we can learn IoT more easily when directly work on projects only.

Here in this course i have tried make maximum IoT projects .

What you will Learn

In this course, you will learn:

A basic understanding of what is the Internet of Things
What is the Arduino IoT Cloud Platform how to configure the IoT platform
How to setup your third party microcontrollers with Arduino IoT cloud
How to use the ESP32 /Esp8266 with Arduino IoT Cloud.
Learn to build dashboards to monitor your Internet of Things (IoT) projects , peripherals and sensors
Learn to integrate Webhooks in your Internet of Things (IoT) Applications
How to use the If This Then That (IFTTT) to integrate services into your IoT Applications
Learn how to use Arduino IoT cloud web editor.
Learn how to make real time IoT Projects using ESP32 and different sensors.
Learn how to interface different sensor with ESP32 and ESP8266.
What projects you will build
We will start with basics by building simple Internet of Things (IoT) Cloud projects such as:
- Home Automation project where we will control the electrical appliances using Arduino IoT app
- Getting started with Arduino IoT cloud | Arduino IoT cloud with Esp32
- Taking Analog sensor Readings
- Detecting events from IoT devices like a button push in the Cloud.
- Soil moisture sensor with Arduino IoT cloud | IOT Smart Plant Monitoring System.
- Sending sensor data to google sheet using Arduino IoT cloud | log sensor data in cloud.
- How to send sensor data from Arduino IoT cloud to Email | webhook & IFTTT with Arduino IoT cloud.
- DS18B20 Temperature sensor with Arduino IoT Cloud | DS18B20 with Esp32 & Arduino IoT Cloud.
- IoT based Noise pollution monitoring using Arduino IoT cloud @Arduino | Sound sensor with ESP32
You will also learn how to build Internet of Things (IoT) dashboards with little to no code to monitor your Things and Properties from the Cloud.

What's inside

Learning objectives

Build real time working iot projects that connect to the cloud
Learn how to use the arduino iot cloud platform from the scratch
Learn how to use the third party board with arduino iot cloud

Learn to build the dashboard from the basics
Use if this then that (ifttt) to integrate webhooks into your iot applications
Learn to create thing in arduino iot cloud.

Build real time working iot projects that connect to the cloud
Learn how to use the arduino iot cloud platform from the scratch
Learn how to use the third party board with arduino iot cloud
Learn to build the dashboard from the basics
Use if this then that (ifttt) to integrate webhooks into your iot applications
Learn to create thing in arduino iot cloud.

Syllabus

Introduction

Getting started with Arduino IoT cloud | Arduino IoT cloud with Esp32

IoT projects Using Arduino IoT Cloud

Home automation using Arduino IoT cloud platform

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Focuses on practical projects rather than theory, which is ideal for learners who prefer hands-on experience and immediate application of knowledge

Covers integration with IFTTT and webhooks, enabling learners to connect their IoT projects with a wide range of online services and automate tasks

Uses ESP32 and ESP8266 microcontrollers, which are popular and cost-effective choices for IoT projects, making the course accessible to a wider audience

Teaches how to build dashboards to monitor IoT projects, which is a valuable skill for visualizing and analyzing sensor data in real-time

Requires learners to use the Arduino IoT Cloud, which may have associated costs or limitations depending on the scale and usage of the projects

Features projects that involve sending data to Google Sheets, which may require learners to have a Google account and be comfortable with data privacy considerations

Reviews summary

Getting started with arduino iot cloud: projects

According to learners, this course offers a highly practical and project-focused introduction to the Arduino IoT Cloud. Students found the explanations clear and easy to follow, making it an excellent starting point, especially for those new to the platform or IoT in general. Reviewers frequently highlighted the value of the hands-on projects covering topics like home automation, sensor data logging, dashboards, and integrating IFTTT/Webhooks with boards like ESP32 and ESP8266. The course successfully delivers on its promise of learning by doing, leading to a very positive overall reception.

Successfully integrates common third-party boards.

"Very helpful to learn how to use ESP32 with the Arduino IoT Cloud."

"The course showed me how to connect my ESP8266 boards easily."

"Appreciate that it covered using popular third-party microcontrollers beyond just official Arduino boards."

"Connecting different sensors like the DS18B20 with the ESP32 was clearly explained."

Excellent starting point for beginners.

"This course is really good to start with Arduino IoT cloud. Thank you."

"As a beginner, this course provided me with a solid foundation to get started with the platform."

"Perfect if you're new to connecting Arduino or ESP boards to the cloud. Gets you up and running."

"Great introduction to the world of IoT using the Arduino platform."

Comprehensive coverage of essential cloud features.

"Learned a lot about creating dashboards and monitoring my devices from the cloud."

"The sections on IFTTT and Webhooks were very useful for integrating with other services."

"Covers essential features like setting up 'things', properties, and linking devices."

"Good explanation of how to utilize the web editor and monitor data."

Instructor provides clear, easy-to-follow guidance.

"Everything is explained well, and it is easy to follow the steps."

"The instructor explained everything clearly and concisely. Great teaching style!"

"I found the explanations for setting up 'things' and properties very clear."

"Even complex concepts were broken down into understandable steps in the lectures."

Strong focus on practical, hands-on projects.

"The strength of the course is the practical examples which are explained very clearly step by step. This helped me to understand how to connect devices..."

"This is a great course that dives right into doing projects. I really appreciated the practical approach, especially since I learn best by building."

"Loved the projects covered, especially the home automation one. It showed me real-world applications for the cloud platform."

"Building actual projects made understanding the cloud features much easier than just theoretical explanations."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Getting started with Arduino IoT cloud with these activities:

Review basic electronics concepts

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Reviewing basic electronics concepts will help you better understand how sensors and actuators work with the Arduino and ESP32.

Browse courses on Ohm's Law

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Review online resources or textbooks on basic electronics.
Solve practice problems related to Ohm's Law and Kirchhoff's Laws.
Familiarize yourself with common electronic components like resistors, capacitors, and inductors.

Brush up on C/C++ programming

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Practicing C/C++ programming will make it easier to write code for the Arduino and ESP32 microcontrollers used in the course.

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Review basic syntax, data types, and control structures in C/C++.
Practice writing simple programs to control LEDs or read sensor values.
Familiarize yourself with Arduino-specific functions and libraries.

Build a simple temperature and humidity monitor

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Building a temperature and humidity monitor will provide hands-on experience with connecting sensors to an ESP32 and sending data to the Arduino IoT Cloud.

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Connect a DHT11 or DHT22 sensor to an ESP32 development board.
Write code to read temperature and humidity values from the sensor.
Configure the Arduino IoT Cloud to receive sensor data.
Display the temperature and humidity values on an Arduino IoT Cloud dashboard.

Four other activities

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Follow Arduino IoT Cloud tutorials

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Following tutorials will help you learn the specifics of the Arduino IoT Cloud platform and how to integrate it with different hardware.

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Find tutorials on the Arduino website or other online resources.
Follow the tutorials step-by-step, paying attention to the code and configuration instructions.
Experiment with different settings and configurations to see how they affect the results.

Design a custom IoT dashboard

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Designing a custom dashboard will allow you to visualize your IoT data in a way that is meaningful and useful to you.

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Identify the key metrics that you want to track.
Choose appropriate visualizations for each metric (e.g., charts, graphs, gauges).
Arrange the visualizations on the dashboard in a logical and intuitive way.
Customize the appearance of the dashboard to match your preferences.

Document your IoT projects

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Documenting your projects will help you solidify your understanding of the concepts and share your knowledge with others.

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Write a detailed description of your project, including the hardware and software components.
Create diagrams or schematics to illustrate the connections between the components.
Write clear and concise instructions on how to build and configure the project.
Share your documentation on a blog, forum, or other online platform.

Contribute to an open-source IoT project

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Contributing to open-source projects will give you valuable experience working with real-world code and collaborating with other developers.

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Find an open-source IoT project on GitHub or another platform.
Read the project's documentation and code to understand its structure and functionality.
Identify a bug or feature that you can contribute to the project.
Submit a pull request with your changes.

Career center

Learners who complete Getting started with Arduino IoT cloud will develop knowledge and skills that may be useful to these careers:

Internet of Things Engineer

An Internet of Things Engineer designs, develops, and implements IoT solutions. This role often involves working with microcontrollers, sensors, and cloud platforms. This course is particularly relevant because it provides hands-on experience with the Arduino IoT Cloud platform, ESP32, and ESP8266 microcontrollers. It also covers building dashboards to monitor devices and integrating with services like IFTTT and Webhooks which are key skills for an Internet of Things Engineer. The practical projects in the course, such as home automation, smart plant monitoring, and noise pollution monitoring, help build a solid portfolio of skills.

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Embedded Systems Engineer

Embedded Systems Engineers work on the hardware and software of systems that are embedded within larger devices or machines. This job includes programming microcontrollers and integrating sensors, both of which are focused topics taught in this course. The projects are all with microcontrollers such as the ESP32 and ESP8266, and involve integrating sensors, which are the main concern of an Embedded Systems Engineer. This course helps build a foundation in IoT applications and data handling which are all key skills necessary for success.

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Smart Home Integrator

A Smart Home Integrator designs and installs smart home systems for residential properties. This course is particularly relevant because it includes a project on home automation using the Arduino IoT Cloud platform. It provides the hands-on experience necessary to build and configure IoT devices and connect them to a cloud platform. This course would lead to a better understanding of the components that a Smart Home Integrator would work with on a daily basis.

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Agricultural Technology Specialist

Agricultural Technology Specialists implement and manage technology in agricultural settings. This course is particularly relevant because it features a project on smart plant monitoring using a soil moisture sensor and the Arduino IoT cloud, very much related to precision agriculture. This course provides the foundational skills to connect sensors and send data to the cloud. This course helps build hands-on skills in these essential technologies for agricultural use.

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Environmental Monitoring Technician

Environmental Monitoring Technicians collect and analyze data related to the environment. This course is useful because it includes a project on noise pollution monitoring using an Arduino IoT Cloud, which is a common task for this role. The course also teaches how to integrate sensors and collect data, which are key skills for an Environmental Monitoring Technician. Taking this course helps build a basic understanding of how to approach data-driven environmental monitoring.

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System Integrator

System Integrators work to bring together different components of a system into a unified whole. This course is useful as it focuses on integrating microcontrollers, sensors, and cloud platforms, which are elements a system integrator will be familiar with. This course may be useful, as it would allow someone to increase their understanding of how different IoT components work together. The hands-on projects provide experience in connecting disparate technologies, which is at the center of this role.

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Automation Engineer

Automation Engineers design and implement systems that automate processes across various industries. This course helps build a foundation in practical IoT applications, which are increasingly used in automation. The home automation project within the course aligns directly with the work of an Automation Engineer. Understanding how to control devices remotely and monitor data, as taught in this course with the Arduino IoT Cloud, are valuable skills for someone in this role. This course may be useful to someone looking to begin in this field.

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Data Analyst

Data Analysts collect and analyze data to identify trends and insights. This course may be useful to a Data Analyst by providing a foundational understanding of how IoT data is collected and managed using the Arduino IoT Cloud. The course also covers sending data to tools like Google Sheets, which is a very common first step in data analysis workflows. The course may help a Data Analyst understand the end-to-end process for a data driven project.

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Hardware Engineer

Hardware Engineers design and develop physical components of computer systems, including microcontrollers and sensors. This course is helpful as it includes practical, hands-on experience interfacing with hardware like the ESP32 and ESP8266, which are commonly used by Hardware Engineers. The course provides insight into how these components interact with software and the cloud by using the Arduino IoT cloud environment. The practical projects in this course may be helpful, as they demonstrate the design and implementation of sensor-driven automation.

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Product Developer

A Product Developer designs and develops new products. This course may be useful by providing a basic understanding of IoT technologies and how they can be used to create new, innovative products. This course also introduces the Arduino IoT Cloud platform and demonstrates how to use sensors, microcontrollers, and cloud services in a product development setting. This course may help someone in product development have broader insights into the technologies available.

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Cloud Solutions Architect

A Cloud Solutions Architect designs and manages cloud computing systems. While this role is primarily focused on large-scale cloud infrastructure, understanding how individual devices connect to the cloud is important. This course may be useful by providing insights into how data from IoT devices is transmitted and managed within a cloud platform using Arduino IoT Cloud, and how to set up dashboards and integrate with other services. Familiarity with these concepts helps build an understanding of the architecture as a whole.

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Robotics Engineer

Robotics Engineers design and build robots and automated systems. The course may be useful, as it provides a foundation in integrating sensors with microcontrollers and using cloud platforms for data monitoring and control. Specifically, the projects involving sensor data collection and remote control, as taught in this course, are related to building robotic systems. The skills related to processing data using the cloud are useful for a Robotics Engineer. This course may help provide insight into these processes.

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Research Scientist

A Research Scientist develops, conducts and analyzes studies in their field of expertise. This course may be useful because it provides practical experience in building sensor networks and collecting data with microcontrollers. The course covers how to integrate sensors and send data to a cloud based database which can be used for experiments and studies. While this course is not a traditional research course, it may provide hands on experience with data collection, which can be useful to a Research Scientist.

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Educational Technology Specialist

An Educational Technology Specialist integrates technology into educational settings. The practical projects in this course, such as home automation and smart plant monitoring, can be used to demonstrate practical applications of IoT technology. By working with hands-on projects, an Educational Technology Specialist may better understand the technology that is involved in these systems. This course may be useful as it provides a simple introduction to cloud connected devices.

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Technology Consultant

Technology Consultants advise clients on how to best use technology to meet business goals. While this role doesn't heavily focus on hands-on engineering, the course may be useful, by providing practical insights into the Arduino IoT Cloud and how it can be applied to solve real-world problems. Familiarity with the technology and its use cases, as taught by this course's practical projects, will help Technology Consultants make informed technology recommendations. This course may be helpful.

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