ESP8266 & Micro Python for Internet of Things from Udemy

Course Updates that Propel Your Learning Experience to New Heights.

UPDATE 12: ¡Hola. El curso ahora cuenta con subtítulos en alemán para una experiencia de aprendizaje inclusiva [Powered by Google Translate].

UPDATE 11: Guten Tag. Der Kurs ist nun mit deutschen Untertiteln/Bildunterschriften ausgestattet, um eine inklusive Lernerfahrung zu ermöglichen [Powered by Google Translate].

UPDATE 10: Immerse Yourself in Project 9. Unleash the Power of Lab 13 & 14 to Create Custom Webpages for Effortless Control of NodeMCU-connected Devices.

UPDATE 9: Exciting Additions. Lab 13 & 14 Introduce You to the World of NodeMCU as a Webserver, as well as the Basics of HTML & CSS. Get Ready for an Engaging Web Development Journey.

UPDATE 8: Discover Project 8's Data Logging Magic. Learn How to Push Sensor Data to Google Sheets, Leveraging the Insights from Lab 4 and Building on the Knowledge from Project 7.

UPDATE 7: Thrilling Projects Ahead. Building on the Foundation of Labs 5 and 6, Project 7 Unveils the Art of Pushing Notifications on Alarming Activities. Brace Yourself for an Interactive Experience.

UPDATE 6: Unleash the Power of Push Notifications. Dive into the World of NodeMCU and Pushbullet, Enabling Seamless Mobile Alerts and Notifications on Multiple Devices.

UPDATE 5: Take a Deep Breath, It's Time for MQ135. Explore the Realm of Gas Detection and Empower Your Decision-Making Process with this Cutting-Edge Sensor.

UPDATE 4: Get Creative with NodeMCU and Nokia5110 Display. Master the Art of Parsing JSON Data, Create a Dynamic Weather Station Dashboard, and Illuminate Your IoT Projects Like Never Before.

UPDATE 3: Embrace the Excitement of LiDAR in IoT Apps. Step into the Future with a Bonus Lecture on Gesture Recognition using VL6180x—STMicroElectronics' Popular Sensor for Mobile Phones and IoT Applications. Let Your Imagination Run Wild with New Ideas.

UPDATE 2: Your Requests Answered. Dive into Bonus Lectures on SSD1306—A Marvelous 128 x Learn to Draw Objects, Display Custom Images, and Even Run Mesmerizing GIFs on SSD1306. The Possibilities are Endless.

UPDATE 1: Enhancing Accessibility for a Seamless Learning Experience. Responding to Valuable Feedback, All Lectures Now Feature Properly Transcribed Captions (CC). Say Goodbye to Annoying Automatic Transcriptions and Enjoy a Clearer Instructional Journey.

Don't miss out on these incredible updates that add depth, interactivity, and accessibility to your learning adventure. Enroll today and take your IoT skills to the next level.

Description :

Embark on an Exciting IoT Journey with NodeMCU: Create Easy and Impactful Applications at Lightning Speed.

Are you ready to dive into the world of Internet of Things (IoT) and unleash your creativity? Look no further than this captivating course. Designed for students and enthusiasts alike, we provide a concise yet comprehensive introduction to IoT, empowering you to swiftly develop practical and innovative applications using NodeMCU hardware and a range of supporting sensors.

While traditional IoT courses rely on costly Raspberry Pi setups, we take a different approach by utilizing NodeMCU—a remarkable hardware solution that's open-source, interactive, and incredibly affordable. Powered by

Unlike other courses that primarily focus on C/C++ programming, our course puts the spotlight on MicroPython—an optimized implementation of the Python 3 programming language tailored for microcontrollers and constrained environments. This choice ensures a smooth and user-friendly coding experience, even for beginners.

Equipped with the popular PyCharm IDE (free as the community edition), you'll have a powerful tool at your fingertips to bring your IoT ideas to life. Bid farewell to dull lectures and introductory graphics—our course takes a hands-on, experimental approach, immersing you in captivating labs and exciting projects from start to finish.

Unleash the potential of sensors such as vibration, temperature, humidity, and pressure as you learn to effortlessly interface with them. But that's just the beginning. We'll guide you through the process of posting and visualizing data collected from these sensors on the internet. Harness the power of platforms like Thingspeak and Adafruit_IO to create stunning visualizations and gain valuable insights from your IoT data.

What's more, we'll empower you to control IOs and devices connected to your NodeMCU hardware from anywhere in the world. Imagine the possibilities of managing your IoT ecosystem with the help of Google Voice Assistant and If This Then That (IFTTT) platforms, making your projects truly interactive and responsive.

Our motivation to develop this course stemmed from recognizing the need for an IoT learning experience that fits within a limited budget. Join us in this thrilling adventure, where innovation meets affordability. Enroll now and unlock your potential to build extraordinary IoT applications with NodeMCU.

What's inside

Learning objectives

How to create smart iot applications over nodemcu hardware using mircropython through pycharm ide ?
How to use pycharm as ide for code development & flashing ?
How to use vibration / temperature / humidity / gas / lidar sensors ?
How to use adafruit, thingspeak, apps for analysis & visualization of data grabbed from different sensors ?

How to use google voice and ifttt to make complex " voice based device control " applications simple ?
How to use lcd display interfaces like ssd1306, nokia 5110 ?
What is json format and how to use it with iot applications ?

How to create smart iot applications over nodemcu hardware using mircropython through pycharm ide ?
How to use pycharm as ide for code development & flashing ?
How to use vibration / temperature / humidity / gas / lidar sensors ?
How to use adafruit, thingspeak, apps for analysis & visualization of data grabbed from different sensors ?
How to use google voice and ifttt to make complex " voice based device control " applications simple ?
How to use lcd display interfaces like ssd1306, nokia 5110 ?
What is json format and how to use it with iot applications ?

Syllabus

Must Read Before Going to Course

For You Kind Notice

What are you going to do in this course

In this section we will see what is IOT

Known Problems During Flashing process and workarrounds

Possible Errors while using DHT11 Sensors

Prerequisites : Lab 5 and Project 7, are to be completed to understand the Project Code and Method of Implementation

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Focuses on MicroPython, which offers a more accessible and user-friendly coding experience compared to C/C++, especially for those new to microcontroller programming

Employs NodeMCU, an open-source and affordable hardware solution, making IoT projects accessible on a limited budget, unlike courses that rely on costly Raspberry Pi setups

Covers interfacing with various sensors like vibration, temperature, humidity, gas, and LiDAR, providing a comprehensive understanding of data acquisition in IoT applications

Explores data visualization on platforms like Thingspeak and Adafruit_IO, enabling learners to create stunning visualizations and gain valuable insights from collected sensor data

Teaches how to control IOs and devices connected to NodeMCU hardware remotely, enhancing the interactivity and responsiveness of IoT projects

Requires completing Lab 5 and Project 7 before undertaking Project 8, which may pose a barrier for learners seeking a standalone project experience

Reviews summary

Practical iot with nodemcu & micropython

According to learners, this course offers a practical and hands-on approach to building IoT projects using NodeMCU and MicroPython. Many highlight the course's focus on real-world applications and integrating various sensors and platforms like Thingspeak, Adafruit IO, and Google Voice/IFTTT. Students found the use of MicroPython beneficial, especially for beginners, describing it as easier to grasp than C/C++. The projects and labs are frequently mentioned as engaging and helpful for solidifying understanding. While the course structure and content are generally well-received, some learners noted potential challenges with initial hardware setup and occasional issues with specific sensor labs or keeping up with platform updates.

Content is actively updated.

"Appreciate the instructor adding new content like the HTML/CSS and web server labs."

"The updates with subtitles and new projects show the course is actively maintained."

"It's great to see the course evolving and adding more advanced topics like custom webpages."

"The timely updates reflect commitment to improving the learning experience."

Covers many useful sensors.

"The variety of sensors covered (vibration, temp/humidity, gas, LiDAR, displays) is excellent."

"Learning to interface different sensors like the MQ135 and VL6180x was very valuable."

"The labs on using the SSD1306 and Nokia 5110 displays were a great addition."

"Connecting and reading data from the included sensors was explained well."

MicroPython makes coding accessible.

"Learning IoT with MicroPython was much less intimidating than I expected. Great choice for beginners."

"MicroPython makes prototyping fast and simple on the ESP8266."

"I found the MicroPython approach easy to pick up, even with limited prior experience."

"Using PyCharm with MicroPython streamlines the development process."

Integrates with IoT platforms.

"Posting data to Thingspeak and Adafruit.io was straightforward and useful for visualization."

"The sections on Google Voice and IFTTT integration were particularly interesting and powerful."

"Learning how to use these cloud platforms adds significant value to the projects."

"Being able to control devices remotely via Adafruit IO was a highlight."

Builds practical, hands-on projects.

"The projects are practical and connect different concepts learned throughout the course."

"I enjoyed the hands-on projects that use real sensors and platforms like ThingSpeak and Adafruit.io."

"This course delivered on its promise of building useful IoT applications with NodeMCU."

"The project-based learning style made it easy to see how the concepts fit together."

Setup can require some troubleshooting.

"Had some initial issues flashing the NodeMCU and getting the drivers installed correctly."

"Some of the sensor connections required a bit of trial and error to get working."

"Needed to troubleshoot a bit with the DHT11 sensor lab, wasn't plug and play."

"While the course explains setup, be prepared for minor hardware hiccups depending on your kit."

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 ESP8266 & Micro Python for Internet of Things with these activities:

Review Basic Electronics Concepts

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Reinforce your understanding of fundamental electronics concepts to better grasp how sensors and actuators interface with the NodeMCU.

Browse courses on Ohm's Law

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Review online resources or textbooks covering basic circuits and components.
Solve practice problems related to Ohm's Law and series/parallel circuits.

Brush Up on Python Fundamentals

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Strengthen your Python skills to write efficient and effective MicroPython code for the NodeMCU.

Browse courses on Python Syntax

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Complete a Python tutorial or online course covering basic syntax and data structures.
Practice writing simple Python scripts to manipulate data and control program flow.

Read 'Programming ESP32 with Arduino'

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Gain a deeper understanding of the ESP8266 architecture and programming paradigms by exploring a related platform.

View Putting Knowledge to Work on Amazon

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Obtain a copy of 'Programming ESP32 with Arduino'.
Read the chapters relevant to hardware interfacing and sensor integration.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Practice Interfacing with Sensors

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Solidify your understanding of sensor integration by working through practical examples and exercises.

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Choose a sensor covered in the course, such as DHT11 or MQ135.
Connect the sensor to the NodeMCU and write MicroPython code to read its data.
Experiment with different sensor configurations and data processing techniques.

Build a Mini Weather Station

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Apply your knowledge to create a practical IoT application that integrates multiple sensors and data visualization techniques.

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Gather the necessary components, including a NodeMCU, DHT11, and a display (e.g., SSD1306).
Write MicroPython code to read temperature and humidity data from the DHT11.
Display the sensor data on the SSD1306 screen.
Optionally, upload the data to a cloud platform like Adafruit IO or ThingSpeak.

Document Your IoT Projects

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Improve your understanding and communication skills by documenting your IoT projects in a clear and concise manner.

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Choose one of your IoT projects.
Write a detailed description of the project's purpose, components, and code.
Create diagrams or schematics to illustrate the hardware connections.
Share your documentation on a blog, forum, or online portfolio.

Read 'Internet of Things with Python'

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Expand your knowledge of IoT development with Python by exploring a broader range of platforms and technologies.

View Putting Knowledge to Work on Amazon

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Obtain a copy of 'Internet of Things with Python'.
Read the chapters relevant to data visualization, cloud integration, and security.

Career center

Learners who complete ESP8266 & Micro Python for Internet of Things will develop knowledge and skills that may be useful to these careers:

Sensor Applications Developer

A Sensor Applications Developer designs and develops software to collect, manage and interpret data from various sensors. The course is specifically relevant to a Sensor Applications Developer, as it provides practical experience in working with a variety of sensors, including vibration, temperature, humidity, gas, and LiDAR, all while working with the MicroPython coding environment. This course also directly addresses the process of leveraging sensor data for analysis and visualization, which are valuable skills of a Sensor Applications Developer.

See salaries and explore the career path for Sensor Applications Developer

Internet of Things Developer

An Internet of Things Developer creates and maintains the software and hardware that connect everyday devices to the internet. The course’s emphasis on practical, hands-on projects using NodeMCU is directly relevant to the tasks of an Internet of Things Developer. The course helps learners understand how to gather data from sensors, interact with online platforms like Adafruit IO and Thingspeak, and control physical devices remotely through the internet, all of which are vital skills for this role. This course is an ideal starting point for anyone who wishes to make a career in this field.

See salaries and explore the career path for Internet of Things Developer

Microcontroller Programmer

A Microcontroller Programmer writes programs that control the operations of microcontrollers, which are often used in embedded systems. The core of this course is the use of NodeMCU, a popular microcontroller platform, and the MicroPython language, which makes it an ideal resource for an aspiring Microcontroller Programmer. The course provides a comprehensive, hands-on experience in programming microcontrollers including reading sensor data, controlling output devices, and creating interactive systems, providing a strong starting point for a career as a Microcontroller Programmer.

See salaries and explore the career path for Microcontroller Programmer

Embedded Systems Engineer

An Embedded Systems Engineer designs, develops, and tests embedded systems, which are computer systems with a dedicated function within a larger mechanical or electrical system. This course helps you build a foundation in working with microcontrollers like NodeMCU, which are central to many embedded systems. The course's focus on using MicroPython for development provides a valuable skill in this field, offering a faster and more accessible approach compared to traditional C/C++ development. Learning to interface with a variety of sensors, display technologies, and internet connectivity options, all covered in this course, directly prepares one to design and implement practical embedded systems with real world applications.

See salaries and explore the career path for Embedded Systems Engineer

Smart Home Systems Integrator

A Smart Home Systems Integrator designs, installs, and maintains integrated systems for smart homes. This course helps one build relevant knowledge about connecting smart devices with internet platforms like Adafruit IO, Thingspeak and through voice platforms such as Google Voice. Learning to control devices remotely and creating interactive applications, all highlighted in this course, is essential to becoming a Smart Home Systems Integrator. The course emphasizes the use of NodeMCU, which is a core component of many smart home systems, thus making it especially relevant for those who wish to enter this field.

See salaries and explore the career path for Smart Home Systems Integrator

Automation Engineer

An Automation Engineer designs implements and maintains automated processes and systems. This course provides hands-on experience with the core technologies that underpin many automation systems, including sensor data acquisition, device control, and network communication. The course’s content on interfacing with various sensors, controlling devices remotely, and creating web interfaces for system management, contributes directly to success in the work of an Automation Engineer. The practical, project-based learning style of the course is also helpful in preparing one for the kind of challenges commonly faced in this role.

See salaries and explore the career path for Automation Engineer

Control Systems Engineer

A Control Systems Engineer designs and implements systems that control the operation of complex processes and machines. The course's practical introduction to sensors and actuators and its use of nodeMCU is relevant here. The course focuses on acquiring signal data from sensors and control of hardware, which are the foundations of control engineering. The hands-on project based approach also provides valuable experience in a control systems project. This course may be a useful starting point for one interested in a Control Systems Engineer career.

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Research and Development Engineer

A Research and Development Engineer works with cutting edge technologies to create innovative solutions. This course may help to build core technical capabilities in IoT devices, particularly with respect to NodeMCU development, sensor integration, and internet connectivity, skills which are increasingly relevant in Research and Development roles. Familiarity with the practical hands on approach to building IoT systems as taught in this course, can be relevant in a range of R&D projects. This course may be particularly useful for those looking for a practical introduction to these kind of technologies.

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Hardware Prototyper

A Hardware Prototyper is involved in creating early models of electronic devices that can be used to test designs. This course may be particularly relevant to a Hardware Prototyper, as it offers hands-on experience building and testing devices with NodeMCU and a variety of sensors and display modules. The course helps one learn how to connect hardware components and program them to achieve specific functionalities. This practical experience is invaluable for a Hardware Prototyper, who needs to quickly test and iterate on new hardware designs.

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Robotics Technician

A Robotics Technician builds, tests, and maintains robotic systems. This course provides foundational knowledge in programming embedded systems using MicroPython, interfacing with sensors, and controlling hardware components, skills which are highly valuable for a Robotics Technician. The focus on NodeMCU hardware and its integration with various sensors and actuators, as taught in this course, mirrors the challenges faced when working with different robotic systems. This course may be useful for an aspiring Robotics Technician who wishes to gain practical experience in this area.

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Data Visualization Specialist

A Data Visualization Specialist transforms raw data into visual formats, making it easier to understand trends, patterns, and insights. While this course primarily focuses on IoT development, it helps build fundamental skills in collecting and visualizing data from sensors, which is highly relevant to a Data Visualization Specialist. The course’s focus on using platforms such as Thingspeak and Adafruit IO to display sensor data provides one with relevant experience in data visualization techniques. This may be helpful for those who wish to learn about the process of gathering and presenting data.

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Technical Trainer

A Technical Trainer develops and delivers training programs to teach technical skills to others. This course provides a strong foundation in IoT concepts and hands-on experience with NodeMCU, MicroPython, and various sensors, which can be valuable to a Technical Trainer who wishes to teach these subjects. The course’s structure of practical labs, projects, and clear objectives, could offer valuable insights into how to design effective technical training. This course may allow a Technical Trainer to develop both a conceptual and a practical knowledge of IoT technology, which is helpful in teaching others.

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Mobile Application Developer

A Mobile Application Developer creates applications for mobile devices. While this course primarily deals with IoT hardware and MicroPython, it helps build skills in data handling and push notifications, which are also relevant to mobile applications. The course teaches one how to send notifications using the Pushbullet API and communicate with online platforms, which are skills that may be applicable to some mobile app projects. This course could be useful for a Mobile Application Developer looking to expand their skill set into IoT data collection and interaction.

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Web Developer

A Web Developer designs and builds websites and web applications. This course may help to increase one's skills in web development through its focus on HTML and CSS for creating web interfaces for NodeMCU based devices. The course’s introduction to web servers, and learning how to build custom webpages for device control, directly relates to some aspects of a web developer's role. While this course does not go deep into web development, it can provide a useful starting point for a Web Developer who wishes to explore the integration of IoT devices with web technologies.

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Network Engineer

A Network Engineer is responsible for planning, implementing, and maintaining computer networks. The course may be useful for a Network Engineer, as it introduces practical skills related to connecting devices to networks and controlling them remotely. The course covers how to connect NodeMCU devices to the internet and communicate with online platforms, which is related to their work. This course could be of help to a Network Engineer who is interested in learning how different types of devices interact and communicate within a network.

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ESP8266 & Micro Python for Internet of Things

What's inside

Learning objectives

Syllabus

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Reviews summary

Practical iot with nodemcu & micropython

Activities

Career center

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