Internet of Things (IoT) with Arduino Programming & ESP8266 from Udemy

What's inside

Learning objectives

18 hands-on sessions on iot hardware and iot cloud
Learn how to design code and build iot products
Learn to use arduino ide and arduino programming language from scratch
Learn how to connect sensors and actuators to commercial cloud platforms
Learn to use microcontrollers like esp8266, nodmcu, arduino.

Learn to fetch data from sensors like temperature, lm35.
Builld iot projects in this course
All services offered by thingspeak cloud platform - data storage, thingtweet, talkback, thinghttp, react, timecontrol etc
Rest http methods - get, post, put etc
Api

18 hands-on sessions on iot hardware and iot cloud
Learn how to design code and build iot products
Learn to use arduino ide and arduino programming language from scratch
Learn how to connect sensors and actuators to commercial cloud platforms
Learn to use microcontrollers like esp8266, nodmcu, arduino.
Learn to fetch data from sensors like temperature, lm35.
Builld iot projects in this course
All services offered by thingspeak cloud platform - data storage, thingtweet, talkback, thinghttp, react, timecontrol etc
Rest http methods - get, post, put etc
Api

Syllabus

Expectations

Expectations from Course

This lecture covers the definition of IoT, its market value in the near future, instructor introduction and expectation from this course

This lecture will enable you to

#Use Arduino IDE platform

#Use the basic functions and methods of Arduino programming Language

#Learn to blink a LED

Simple Questions on Arduino Programming and Arduino IDE

In this lecture you will be introduced to ThingSpeak cloud platform and its various services and Apps.

After completion of lecture students will be able to

# Create Channel in ThingSpeak.com cloud platform

# Understand the importance of API_KEY

# Upload random numbers to ThingSpeak Channel in multiple fields using computer browser

This is part 1 of two lectures

After Completion of this lecture students will be able to:

# Upload data to ThingSpeak Channel from NODEMCU (ESP8266)

This is part 2 of two lectures

After Completion of this lecture students will be able to:

# Establish Serial Communication between NODEMCU and Computer

# Establish connection between NODEMCU and WiFi access point

# Concatenate Strings in Arduino programming language

# Perform HTTP GET method to upload data to cloud platform

# Download Channel data in CSV format

After completion of this lecture, you will be

# Able to link twitter account to ThingSpeak account

# Able to use ThingTweet App

# Able to use React App to trigger ThingTweet instance.

After Completion of this lecture, you will be able to:

# Understand the pin-out of LM35 temperature sensor

# Understand the temperature range and its temperature to voltage coefficient

# Understand analog to digital conversion

# Understand the process of conversion binary data back to analog parameter

# Connect LM35 and NODEMCU

# Write Arduino program to interface LM35 & NODEMCU and print temperature data to Serial Monitor

After completion of this lecture, you will be able to:

# Upload LM35 temperature sensor data to ThingSpeak Cloud Platform

After completion of this lecture, you will be able to:

# Add external library to Arduino IDE from library manager

# Add external Zip library to Arduino IDE

# Dynamically add WiFi access point to NODEMCU (ESP8266)

After completion of course, you will be able to:

# Understand HTTP in IoT environment

# Understand HTTP request Methods: GET, POST, PUT

After completion of this lecture, you will be able to:

# Perform HTTP POST request method using NODEMCU (ESP8266) to upload data to ThingSpeak Channel

# Add Header in a HTTP request

After completion of this lecture, you will be able to:

# Read data of specific field of channel

# Read data of all channel fields

After Completion of this lecture, you will be able to:

# Read field data using NODEMCU (ESP8266)

# Extract field data from payload received from channel

After Completion of this lecture, you will be able to:

# Upload data to channel

# Read field data

# Use field data to take decision inside NODEMCU, here one LED is controlled

You can control Relays, Motors in the same manner

After completion of this lecture you will be able to:

# Discuss TalkBack service from ThingSpeak cloud platform.

# Create Talkback service and to store commands.

# Discuss terminology like, commands, command position, command ID

# Discuss following actions on TalkBack Queue : Add a command, Update a command, Get a command, Execute a command

In this lecture we will implement "Add a Command" operation on our TalkBack queue using HTTP Post method, Here we have used switches connected to ESP8266 and when a particular switch is closed a command is added to TalkBack respective to closed switch.

After completion of this lecture, you will be able to:

# Add a command to TalkBack queue using HTTP POST method.

# Interface switch with NODEMCU.

In this lecture we will implement "Update a Command" operation on our TalkBack queue using HTTP PUT method, Here we have used switches connected to ESP8266 and when a particular switch is closed a command is updated in TalkBack queue respective to closed switch.

After completion of this lecture, you will be able to:

# Update a command to TalkBack queue using HTTP PUT method.

In this lecture we will implement "Get (Read) a Command" operation on our TalkBack queue using HTTP GET method, Here we have used LEDs connected to ESP8266 and when a particular command is received from the TalkBack queue corresponding LED will turn on.

After completion of this lecture, you will be able to:

# Get (read) a command from TalkBack queue using HTTP GET method.

# Interface external LEDs to ESP8266

In this lecture we will implement "Execute Command" operation on our TalkBack queue using HTTP POST method, Here we have used LEDs connected to ESP8266 and when a particular command is executed from the TalkBack queue corresponding LED will turn on and that command is deleted from TalkBack.

After completion of this lecture, you will be able to:

# Execute a command from TalkBack queue using HTTP POST method.

In this lecture we will implement "Update Command" operation on our TalkBack queue using the HTTP PUT method, Here we have used LEDs connected to ESP8266 and when a particular command is issued from API tester App, LEDs connected to NODMCU will glow.

After the completion of this lecture, you will be able to:

# Control LEDs connected to NODMCU using API tester APP

In this lecture, we will develop an end to end IoT system, At one end, IoT transmitter device will upload data to ThingSpeak cloud platform, ThingSpeak cloud platform will monitor the data uploaded to channel using React app, ThingHTTP app, and TalkBack app. The receiver IoT device will receive commands from the cloud and function accordingly.

After the completion of this lecture, you will be able to:

# Develop end to end IoT Solution

# Using ThingHTTP App

In this lecture, we will learn to integrate ThingHTTP and IFTTT.

After completion of this lecture, you will be able to,

# Configure IFTTT to identify an event.

# Configure IFTTT to send a notification when an event has occurred.

# Configure ThingSpeak (Channel, React and ThingHTTP) to trigger an event when temperature rises above certain level

In this lecture, we will learn to use Google Assistant, IFTTT, and ThingSpeak to control LEDs. These LEDs can be replaced by relays to develop this project for home automation.

After the completion of this lecture, You will be able to:

# Integrate Google assistant and IFTTT to send text and vocal commands.

# Integrate IFTTT (Webhooks) to send PUT request to ThingSpeak (TalkBack)

In this lecture, we will learn to use TimeControl app from ThingSpeak to turn on and off devices when a specific time is reached.

After the completion of this lecture, You will be able to:

# Configure TimeControl app from ThingSpeak

# Update command in TalkBack queue using TimeControl

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Provides hands-on experience with Arduino programming and ESP8266, which are essential for building IoT projects and prototypes

Covers ThingSpeak cloud platform services, including data storage, ThingTweet, TalkBack, ThingHTTP, React, and TimeControl, which are valuable for IoT projects

Explores REST HTTP methods like GET, POST, and PUT, which are fundamental for interacting with web services and APIs in IoT applications

Requires learners to acquire hardware components like ESP8266-NODEMCU and sensors, which may pose a barrier to entry for some students

Uses ThingSpeak, which is a platform that may require learners to create an account and agree to its terms of service

Reviews summary

Practical iot with arduino & esp8266

According to learners, this course provides a solid, practical introduction to building IoT systems using Arduino and the ESP8266 microcontroller. Many students found the hands-on experiments and projects to be highly valuable and effective for learning. Reviewers frequently praised the clear explanations and the step-by-step approach taken by the instructor, stating it was beneficial for getting started. The course's focus on integrating with the ThingSpeak cloud platform and covering HTTP methods was also highlighted as particularly useful. However, some learners noted that code examples occasionally contained minor errors that required self-debugging, and felt the course might assume some prior knowledge in programming or electronics, potentially making hardware setup challenging for complete beginners. While covering a broad range of topics, a few reviewers suggested that later sections could benefit from more in-depth coverage.

Good introduction, but some prior tech knowledge is beneficial.

"This course is excellent for beginners who want to dive into IoT with Arduino and ESP8266."

"Found this course quite frustrating... Assumes more prior knowledge than stated... Not truly for absolute beginners."

"I had some prior Arduino experience but was new to ESP8266 and IoT platforms. This course bridged that gap perfectly."

"A solid introduction. Covers a lot of ground from basic programming to cloud integration."

Instructor explains concepts clearly and step-by-step.

"The explanations are clear, and the hands-on experiments are very practical."

"The step-by-step approach is perfect."

"The instructor's explanations are easy to follow."

"Clear instructions."

Strong focus on practical experiments and projects.

"This course is excellent... the hands-on experiments are very practical. Highly recommended!"

"Loved the hands-on projects! They make learning fun and practical. ThingSpeak integration was explained clearly."

"Exactly what I needed to get started with IoT. The practical approach with NodeMCU and ThingSpeak is very effective. Projects are well-designed..."

"Good course, covers the basics well. The projects are useful for learning."

Requires hardware purchase; setup can be tricky.

"Requires purchasing hardware, which isn't a surprise but important to know upfront."

"Hardware setup was a bit tricky initially."

"I struggled with the hardware setup, and the course didn't offer much support there."

"I wish there was more troubleshooting help provided for common hardware issues."

Code examples may need minor debugging.

"However, the code examples sometimes had minor errors, and I had to debug them myself."

"Found this course quite frustrating. The coding examples didn't always work out of the box. Debugging was time-consuming."

"Code had minor issues. Good if you just need a quick intro, but not very deep."

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 Internet of Things (IoT) with Arduino Programming & ESP8266 with these activities:

Review Basic Electronics Concepts

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Solidify your understanding of fundamental electronics concepts. This will provide a strong foundation for understanding how sensors and actuators work with microcontrollers.

Browse courses on Ohm's Law

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Review online resources and tutorials on basic electronics.
Solve practice problems related to Ohm's Law and Kirchhoff's Laws.
Identify the function of common electronic components.

Brush Up on C/C++ Programming

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Practice C/C++ programming to prepare for Arduino coding. This will make it easier to understand and modify the code examples in the course.

Browse courses on C++ Programming

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Review basic syntax and data structures in C/C++.
Practice writing simple programs using loops, conditional statements, and functions.
Familiarize yourself with Arduino-specific libraries and functions.

Read 'Internet of Things with Arduino Cookbook'

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Supplement your learning with a cookbook focused on Arduino and IoT. This will provide practical examples and solutions to common problems.

View ESP8266 Internet of Things Cookbook on Amazon

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Select a few recipes from the book that align with the course topics.
Follow the instructions to build the projects described in the recipes.
Experiment with modifying the code and hardware to customize the projects.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Practice Interfacing Sensors with Arduino

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Reinforce your understanding of sensor interfacing. This will improve your ability to connect and use different sensors in your IoT projects.

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Choose a few common sensors (e.g., temperature, humidity, light).
Find Arduino tutorials and example code for interfacing with each sensor.
Connect the sensors to your Arduino board and run the example code.
Modify the code to read and display sensor data in different formats.

Build a Simple Weather Station

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Apply your knowledge to build a practical IoT project. This will solidify your understanding of the entire IoT development process.

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Gather the necessary components (Arduino, temperature/humidity sensor, display).
Write Arduino code to read sensor data and display it on the screen.
Connect the Arduino to a cloud platform (e.g., ThingSpeak) to upload sensor data.
Create a dashboard to visualize the sensor data in real-time.

Document Your IoT Projects

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Improve your understanding by explaining your projects to others. This will force you to think critically about your design choices and implementation details.

Show steps

Choose one of your IoT projects.
Write a detailed blog post or create a video tutorial explaining the project.
Share your documentation with the online community.

Explore 'Building Smart Homes with Raspberry Pi'

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Expand your knowledge of home automation. This will help you understand the broader context of IoT and its applications.

View Beginning LoRa Radio Networks with Arduino:... on Amazon

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Read the book and identify key concepts and techniques.
Compare and contrast the Raspberry Pi approach with the Arduino/ESP8266 approach.
Consider how you can apply the concepts from the book to your own IoT projects.

Career center

Learners who complete Internet of Things (IoT) with Arduino Programming & ESP8266 will develop knowledge and skills that may be useful to these careers:

IoT Developer

An IoT Developer designs, develops, and maintains the software and systems that power Internet of Things devices. This course directly aligns with the work of an IoT Developer as it explores the core components of IoT systems, including hardware interfacing, cloud platform interaction, and API utilization. The course uses Arduino programming, cloud platform interaction, and implementation of REST HTTP methods which are valuable skills for an IoT developer. The emphasis on hands-on projects allows learners to develop necessary skills. This course gives the background that an IoT developer needs for success.

See salaries and explore the career path for IoT Developer

Embedded Systems Engineer

An Embedded Systems Engineer develops the software and firmware that run on devices, often involving microcontrollers and sensors. This course directly builds skills in programming microcontrollers like the ESP8266 and interfacing with sensors like the LM35. The hands-on experience of uploading sensor data to the cloud and using the Arduino platform provides a practical foundation for an embedded systems engineer. This course enhances their ability to design and implement IoT solutions. The course's focus on practical application is valuable, providing hands-on experience with the very tools they will use on the job.

See salaries and explore the career path for Embedded Systems Engineer

IoT Solutions Architect

An IoT Solutions Architect designs and plans the architecture of an Internet of Things system. This course helps build a foundation in the components of an IoT system as it covers from the basics of microcontroller programming, sensor interfacing, and cloud platform interaction. Learners acquire practical knowledge about connecting hardware to cloud platforms, using APIs, and understanding HTTP methods. The course's exploration of cloud services and data storage makes it a valuable resource for anyone aspiring to become an IoT Solutions Architect. The course also introduces many of the fundamental technologies to build connected solutions.

See salaries and explore the career path for IoT Solutions Architect

Firmware Engineer

A Firmware Engineer develops low-level software that controls hardware devices. This course provides direct experience with programming microcontrollers, a core skill for a firmware engineer. The course utilizes the Arduino IDE and covers the fundamentals of the Arduino programming language. It also explores how to interface sensors and actuators with microcontrollers. Hands-on exercises build skills that facilitate the work of a Firmware Engineer who works closely with hardware and its embedded software. By working directly with microcontrollers, this course helps learners who want to enter this field.

See salaries and explore the career path for Firmware Engineer

Automation Engineer

An Automation Engineer designs, develops, and implements automated systems, often involving IoT devices. This course presents relevant skills, such as connecting hardware to cloud platforms and using APIs. The course covers data transfer protocols like HTTP, which is essential for automation. This course introduces practical skills that an automation engineer will find valuable. The ability to use cloud services for automation is also critical. The course explores how these elements can be used in automation projects.

See salaries and explore the career path for Automation Engineer

Hardware Engineer

A Hardware Engineer designs and develops physical components of electronic devices. While this course focuses more on the software and cloud side of IoT, the hands-on practicals in this course help build a hardware engineer's understanding of how hardware interacts with software. The course specifically covers interfacing sensors like the LM35 with microcontrollers like the ESP8266 and working with hardware at a basic level. This experience enhances the skillset of a hardware engineer and helps them work better in the interconnected world of embedded systems. The understanding of microcontroller programming helps a hardware engineer better design systems.

See salaries and explore the career path for Hardware Engineer

Applications Engineer

An Applications Engineer provides technical support and solutions to customers using a company's products. This course provides hands-on experience with IoT hardware, software, and cloud platforms that are useful for this role. An applications engineer will gain familiarity with many of the components that comprise an IoT system. The course also gives the background that helps an applications engineer understand how these tools are used together. With this background, the application engineer is in a better position to solve their clients' problems.

See salaries and explore the career path for Applications Engineer

Robotics Engineer

A Robotics Engineer designs and develops robots and robotic systems, often incorporating IoT components. The course's content relating to microcontroller programming and sensor interfacing builds skills for this role. The course, which covers Arduino programming and interacting with sensors, provides background that is valuable to a robotics engineer. The course also introduces ways that a robot might interact with a cloud service. These topics contribute to the skillset of a robotics engineer, which this course is designed to help build.

See salaries and explore the career path for Robotics Engineer

Cloud Engineer

A Cloud Engineer manages and maintains cloud infrastructure and services. This course introduces many common cloud platform tools that a cloud engineer might work with. The course also covers APIs and data transfer protocols like HTTP which are critical for cloud services. This course gives practical knowledge about interacting with cloud services, which is a valuable background for a cloud engineer. While the course doesn’t directly teach cloud engineering, it does give a background in many cloud-based tools and technologies that are useful in this career field.

See salaries and explore the career path for Cloud Engineer

Research Scientist

A Research Scientist conducts research in various fields, which sometimes use IoT technology, especially in the physical sciences. This course provides a practical introduction to the hardware and software elements of IoT. The hands-on experiments in this course can help a research scientist design and deploy an IoT system to collect data. A Research Scientist also might do research in IoT itself. The technical background of this course will help in this research. Specifically, this course helps researchers understand the practical details of IoT deployments.

See salaries and explore the career path for Research Scientist

Network Engineer

A Network Engineer designs, installs, and manages network infrastructure, often including IoT devices. This course explores concepts like connecting devices to WiFi networks and interacting with cloud platforms. While the course is not primarily focused on networking, this course covers key aspects of how IoT devices interact with networks. The course also covers aspects of data transfer that are useful background for a network engineer. Knowledge of how devices interact with networks can directly impact the kinds of network infrastructure a network engineer might specify in their designs.

See salaries and explore the career path for Network Engineer

Technical Project Manager

A Technical Project Manager plans and manages technical projects including IoT projects. This course gives a technical background that assists in a project manager's ability to grasp the core issues. The course covers many of the technical components that might be part of an IoT project. A technical project manager needs to understand the complexities of how the systems work. This course provides some of the technical background they need. The project manager understands the technical aspects of a project after taking this course.

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Test Engineer

A Test Engineer designs and executes tests for software and hardware components, including IoT systems. This course helps a test engineer gain an understanding of how IoT systems are constructed. The hands-on experience from this course gives context to the test engineer that will be useful in their testing process. The experience with data collection and transfer also helps the test engineer assess the quality of a system. The specific techniques that a test engineer needs are unique to testing, but this course builds background knowledge about IoT systems that would inform that testing.

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System Administrator

A System Administrator manages and maintains computer networks and systems, sometimes including IoT devices. This course gives an administrator a background in the specific ways IoT systems communicate and collect data. By understanding the practical components of an IoT network, a system administrator is better equipped to maintain such a system. The administrator gains a familiarity with the particular challenges of IoT systems. The course gives a basic understanding to the adminstrator that allows them to better address the unique needs of IoT systems.

See salaries and explore the career path for System Administrator

Data Analyst

A Data Analyst interprets data to identify trends and patterns. Though this course is not focused on data analysis itself, it gives a background in how data is collected from physical sensors and uploaded to cloud platforms, which is the origin of much of the data that a data analyst works with. Understanding the data lifecycle from sensor to cloud, as learned in this course, helps a data analyst better understand the context of data they work with. This course gives them a complete view of the data path. As they work with data from the physical world, this background helps a data analyst.

See salaries and explore the career path for Data Analyst

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Internet of Things (IoT) with Arduino Programming & ESP8266.

ESP8266 Internet of Things Cookbook

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Provides practical recipes for building IoT projects with Arduino. It covers a wide range of topics, including sensor integration, cloud connectivity, and data visualization. It serves as a useful reference for expanding on the concepts taught in the course and provides additional project ideas. This book is particularly helpful for those who want to go beyond the course material and build their own custom IoT solutions.

ESP8266 Internet of Things Cookbook

Paperback

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ESP8266 Internet of Things Cookbook

Kindle Edition

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Beginning LoRa Radio Networks with Arduino

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While this course focuses on Arduino and ESP8266, this book provides a broader perspective on smart home automation using Raspberry Pi. It covers topics such as home security, energy management, and voice control. Reading this book can help you understand the different approaches to building smart homes and inspire new project ideas. It is more valuable as additional reading to broaden your understanding of the field.

Beginning LoRa Radio Networks with Arduino: Build...

Paperback

Internet of Things (IoT) with Arduino Programming & ESP8266

What's inside

Learning objectives

Syllabus

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Reviews summary

Practical iot with arduino & esp8266

Activities

Career center

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