MicroPython Mega Course: Build IoT with Sensors and ESP8266 from Udemy

Learn MicroPython from Scratch, No prior programming knowledge is required.

In this course, you will learn to Program ESP8266 with Micro Python Programming Language to

Access GPIOs (Blinking LEDs, Using Pull Up resistors, Interfacing Button)
Handle Interrupts
Use Inbuilt Analog to Digital Converter
Read Temperature, Light, Humidity Sensors ( The course will start by identifying the differences between micropython and other programming languages targetted for low computing devices such as ESP8266 or ESP32 etc. Then you will learn to install the IDE for MIcroPython, in this course we have used uPyCraft, but you can your other IDEs as well. The target device for developing Internet of Things Devices (IoT) is ESP8266 - NODEMCU. You will learn about the various features of
Then the course will gradually gear up and you will be able to interface simple devices such as LED, Switches with You will also learn the concept of interrupt and its importance in the field of embedded systems and IoT, you will also perform hands-on experiments on interrupts.
Now the course will further gain its pace and you will come across analog to digital converter and you will learn to interface analog sensors such as Light-dependent Resistors (LDR), LM35 Temperature sensor, with NODEMCU and get values from these sensors.
Pulse width modulation (PWM) is a very important concept which offers many industrial applications, we will learn to generate to PWM wave with variable duty cycle and variable frequency, we will also learn to control the brightness of LED using PWM.
The next concept is WEBREPL where we will learn to send codes or other information to our NODEMCU wirelessly without connecting NODEMCU to your PC. This opens many application areas.
Here we will also learn about Relays using which we will able to control AC appliances like Bulb or Fan etc. We will also explore DHT11 which is one more sensor to read the temperature, it is also used to read humidity.
From here we will move towards developing IoT devices. First, you will learn to connect your device with Access Point, then you will learn about the cloud Platform "ThingSpeak". here you will learn to create an account on ThingSpeak, create channels to upload data, upload data using a computer browser to your thingspeak channel. Get data from the cloud to your NODEMCU device.
Now you will develop a project Home Automation using your In this project you will learn to send temperature data to the cloud, the cloud will check the temperature data and will send a command to other distant located devices.Conclusion: This course is for beginners and it will give you a good start to your journey of Internet of Things, and in this process, you will learn a programming Language "MicroPython", You will learn to interface Sensors, and actuators (hardware) with your ESP8266 device. Happy Learning .

What's inside

Learning objectives

Program iot devices using micropython (python for microcontrollers)
Build iot
Sensor interfacing with esp8266: light, temperature and humidity sensing
Actuator interfacing with esp8266

Hardware (electronics) interfacing
Use iot cloud to upload data (collect)
Use iot cloud to apply condition (analysis)
Act on iot data (act)

Program iot devices using micropython (python for microcontrollers)
Build iot
Sensor interfacing with esp8266: light, temperature and humidity sensing
Actuator interfacing with esp8266
Hardware (electronics) interfacing
Use iot cloud to upload data (collect)
Use iot cloud to apply condition (analysis)
Act on iot data (act)

Syllabus

Expectations from the course

Expectations from Course

Students will become familiar to MicroPython Programming Language and ESP8266 Development Kit, Also they will learn to setup MicroPython Environment for ESP8266

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Read about what's good

what should give you pause

and possible dealbreakers

Provides a practical introduction to MicroPython, a streamlined version of Python, making it easier for beginners to grasp embedded systems programming concepts

Covers essential concepts like GPIO control, interrupts, ADC, and PWM, which are fundamental building blocks for creating interactive and responsive IoT devices

Explores the integration of sensors like LDR, LM35, and DHT11, enabling learners to gather environmental data and build context-aware IoT applications

Emphasizes hands-on learning with practical experiments, such as interfacing LEDs, switches, and sensors, allowing learners to apply their knowledge and build real-world projects

Utilizes ThingSpeak, a popular IoT cloud platform, to upload, analyze, and act on sensor data, providing learners with experience in building complete IoT solutions

Focuses on the ESP8266, a widely used and cost-effective microcontroller, making it an accessible platform for experimenting with IoT concepts and building connected devices

Reviews summary

Micropython iot with esp8266 basics

According to learners, this course provides a solid introduction to MicroPython and the ESP8266 board for those new to the field. Students appreciate the practical, hands-on projects that cover interfacing sensors, actuators, and connecting to an IoT cloud platform like ThingSpeak. Many find the instructor's explanations clear and the content well-structured for beginners. However, some reviews mention encountering challenges with initial hardware or software setup and suggest that having some prior electronics knowledge is beneficial despite the course stating no prerequisites. While the course covers fundamentals effectively, a few learners note it stays at a basic level and might not be sufficient for more advanced applications.

Specific ESP8266 board and sensors are needed.

"Note that you will need to purchase the ESP8266 board and several sensors mentioned in the course."

"Make sure you have the necessary components kit before starting the course to follow along."

"The list of required parts is clear, but factor in the cost and sourcing time."

Instructor explains topics clearly.

"The instructor explains complex topics in a very understandable way."

"His teaching style is engaging and easy to follow."

"Clear and concise explanations throughout the lectures."

Includes useful, hands-on building exercises.

"The hands-on projects, especially the home automation, were very practical and helped solidify concepts."

"I loved building the circuits and seeing the code work with actual sensors and relays."

"The examples and projects given are very helpful for understanding the application of MicroPython."

A good starting point for learning MicroPython/IoT.

"This course is perfect for absolute beginners in MicroPython and IoT."

"I had no prior experience and this course gave me a really good start."

"Excellent for beginners, covers the basics clearly and logically."

"As someone new to MicroPython, I found the pace and content very accessible."

Covers fundamentals, but stays introductory.

"While great for basics, the course doesn't go into much depth on advanced MicroPython or IoT topics."

"Good foundation, but you'll need other resources to move beyond the beginner level."

"It's very much an introduction, don't expect to become an expert from this alone."

Setting up hardware/software can be challenging.

"I faced some issues getting the uPyCraft IDE set up correctly initially."

"Setting up the hardware and getting the drivers to work took longer than expected."

"Be prepared to troubleshoot setup problems, as this seems common."

"Some libraries or versions mentioned in the course might require updates or workarounds."

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 MicroPython Mega Course: Build IoT with Sensors and ESP8266 with these activities:

Review Basic Electronics Concepts

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Reviewing basic electronics concepts will provide a solid foundation for understanding the hardware interfacing aspects of the course.

Browse courses on Ohm's Law

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Read introductory materials on basic electronics.
Solve practice problems related to Ohm's Law and Kirchhoff's Laws.
Identify common electronic components and their functions.

Brush Up on Python Fundamentals

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Refreshing Python fundamentals will make learning MicroPython easier, as it builds upon existing programming knowledge.

Browse courses on Python Syntax

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Review Python syntax and data types.
Practice writing functions and loops in Python.
Complete online Python tutorials or exercises.

Read 'Programming ESP8266 with Arduino'

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Reading this book will provide a broader understanding of ESP8266 programming beyond MicroPython.

View Putting Knowledge to Work on Amazon

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Read the introductory chapters on ESP8266 architecture.
Study the examples related to GPIO and sensor interfacing.
Compare and contrast the Arduino and MicroPython approaches.

Four other activities

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Simple LED Control with Web Interface

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Building a simple project will solidify your understanding of MicroPython and ESP8266 interfacing.

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Set up the ESP8266 development environment.
Write MicroPython code to control an LED.
Create a basic web interface to control the LED remotely.
Test the web interface and debug any issues.

Document Your Sensor Interfacing Experiments

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Documenting your experiments will reinforce your learning and provide a valuable resource for future reference.

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Choose a sensor from the course (e.g., DHT11, LDR, LM35).
Document the wiring and MicroPython code used to interface with the sensor.
Explain the sensor's functionality and the data it provides.
Share your documentation on a blog or online forum.

Read 'Internet of Things with Python'

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Reading this book will expand your knowledge of IoT beyond the specific topics covered in the course.

View Putting Knowledge to Work on Amazon

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Read the chapters on cloud integration and data analytics.
Explore the examples related to IoT security.
Consider how the concepts apply to your MicroPython projects.

Contribute to a MicroPython Library

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Contributing to open source will deepen your understanding of MicroPython and the ESP8266 ecosystem.

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Find a MicroPython library related to ESP8266 or IoT.
Identify a bug or missing feature in the library.
Implement a fix or new feature and submit a pull request.
Respond to feedback from the library maintainers.

Career center

Learners who complete MicroPython Mega Course: Build IoT with Sensors and ESP8266 will develop knowledge and skills that may be useful to these careers:

Internet of Things Developer

An Internet of Things Developer focuses on creating applications and systems that connect physical devices to the internet. This course, which emphasizes building IoT projects with MicroPython, ESP8266, sensors, and cloud platforms, directly aligns with the skills a successful Internet of Things Developer needs. The course teaches how to send data to and from cloud platforms, a core function for anyone working with IoT devices. Those looking for an entry point into this field will find valuable experience in the course through its direct, step-by-step approach to building IoT devices and sensor interfacing.

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

Embedded Systems Engineer

An Embedded Systems Engineer designs and develops the software and hardware for embedded systems, which are computer systems with a dedicated function within a larger device. This course on MicroPython and ESP8266 provides practical, hands-on experience with programming microcontrollers, interfacing with sensors like temperature and humidity sensors, and implementing real-time control, all of which are fundamental skills for an embedded systems engineer. The course's focus on accessing GPIOs, handling interrupts, and using analog-to-digital converters will be directly relevant to this role. Furthermore, the internet of things (IoT) cloud connectivity portion will be highly germane to a role in this field.

See salaries and explore the career path for Embedded Systems Engineer

Firmware Engineer

A Firmware Engineer develops the low-level software embedded in hardware devices. This course is highly relevant to this role, as it provides practical skills in programming microcontrollers using MicroPython, interfacing with sensors, and controlling actuators. The course's coverage of topics like GPIO access, interrupts, analog-to-digital conversion, and pulse width modulation are all directly applicable to firmware development. The course builds the necessary foundation for working with low-level embedded systems as a firmware engineer.

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Mechatronics Engineer

A Mechatronics Engineer deals with the design and development of electromechanical systems that integrate mechanical, electrical, and computer engineering principles. A course teaching MicroPython programming for the ESP8266 helps to build a foundational understanding of microcontroller programming, sensor interfacing, and actuator control, which are all crucial aspects of mechatronics. The hands-on work with sensors like temperature, humidity, and light sensors will be highly beneficial for those interested in this type of engineering. The experience with hardware interaction makes it a good fit for this role.

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Robotics Engineer

A Robotics Engineer designs, builds, and tests robotic systems. This MicroPython course will be helpful as it provides essential skills in programming microcontrollers, interfacing with sensors, and controlling actuators. The knowledge of how to program an ESP8266 with MicroPython to read sensor data and control actuators, such as relays, is relevant to robotics, where these systems are used to interact with the environment and perform certain tasks. The pulse width modulation section of the course also provides a good foundation for controlling motors in robotics applications. This course is a good first step toward working in robotics.

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Systems Integrator

A Systems Integrator is responsible for combining different subsystems into a functional whole. This course directly prepares students for this role with its focus on integrating hardware and software for IoT applications. The ability to interface sensors, control actuators, and connect devices to cloud platforms is directly applicable to this role. In particular, the focus on establishing connectivity between devices and data acquisition will be useful. For those looking to work as a systems integrator, this course provides valuable hands-on experience.

See salaries and explore the career path for Systems Integrator

Data Acquisition Specialist

A Data Acquisition Specialist is responsible for collecting data from various sources, often including sensors and embedded systems. This course helps learners acquire skills in interfacing with sensors using MicroPython on ESP8266 devices, which is the basis of data acquisition. The course's focus on using the IoT cloud to upload data aligns perfectly with the responsibilities of a data acquisition specialist, who would use cloud systems to store and analyze data. For anyone looking for a role in this field, this particular course provides targeted, hands-on experience in sensor interfacing and data transfer.

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Control Systems Engineer

A Control Systems Engineer designs and implements control systems that manage the behavior of dynamic systems, such as machinery or industrial processes. A course on MicroPython for IoT devices helps build a foundation for this career by teaching how to program microcontrollers, interface with sensors, and control actuators. The hands-on practice with real-time control and IoT cloud integration is valuable for control systems engineers. The course's lessons on PWM and interrupt handling are highly relevant to the role. Those with an interest in control systems will find a useful introduction in this course.

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Automation Engineer

An Automation Engineer designs and implements automated systems and processes. This course's focus on using MicroPython to control devices, interface with sensors, and connect systems to IoT cloud platforms makes it a useful starting point for automation. The course's modules on interfacing with sensors and actuators, along with an introduction to using cloud platforms to send and retrieve data, are also directly applicable to this field. Learning how to implement real-world applications will be essential to gaining work in automation, where hardware interfacing is essential.

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Software Engineer

A Software Engineer designs, develops, and maintains software applications. While this role typically involves high-level programming, the MicroPython course could be a useful introduction to programming closer to the hardware level, which is a valuable skill for a well-rounded software engineer. In particular, the hands-on experience with hardware interfacing and real-time control systems would be useful to a software engineer working in areas where the software interacts with hardware. The course's emphasis on learning MicroPython is a foundational skill for anyone interested in working with embedded devices.

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Product Developer

A Product Developer is involved in designing and developing new products or improving existing ones. This course offers familiarity with the process of building and programming IoT devices, which could be highly useful for a product developer working with smart devices. The practical experience of interfacing with sensors and actuators, along with connecting these devices to the cloud, provides critical insights into the hardware and software development process. This hands-on experience can be crucial for this kind of role.

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Hardware Engineer

A Hardware Engineer designs, develops, and tests computer hardware systems. This course may be useful as it provides hands-on experience with microcontroller programming and the integration of hardware components such as sensors and actuators. The skills in interfacing devices and using analog-to-digital converters, along with knowledge of electronics will be helpful for aspiring hardware engineers. The course might also be helpful in understanding how hardware components interact with software, which is crucial in hardware design.

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Electronics Technician

An Electronics Technician is skilled in the assembly, maintenance, and repair of electronic equipment. This course helps build an awareness of how to program microcontrollers and interface sensors, which are important for this career. While it may not focus on the specific repair techniques, the course provides a foundation in the use of microcontrollers and integrated sensor systems. It would be helpful for gaining a basic understanding of electronic components and their interaction with software. For those looking to work hands-on with electronic systems as an electronics technician, the course may be a good starting point.

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Research Scientist

A Research Scientist conducts research in a specific scientific field, often involving experimentation and data analysis. This course may be valuable to researchers who need to use embedded systems and sensors for data collection. It provides an understanding of how to interface sensors with microcontrollers, acquire data, and transfer it to a cloud platform for further analysis. This is a critical part of experimental research in many scientific disciplines, giving a research scientist the ability to program their own devices for research purposes. An advanced degree such as a master's or PhD is typically required.

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Technical Trainer

A Technical Trainer delivers courses, workshops, and training sessions on specific technical topics. Someone taking this MicroPython course may find it easier to transition to a technical trainer if they enjoy learning about hardware and internet of things topics. The focus of the course on hardware and software integration, alongside building IoT devices with sensors and cloud platforms, provides a strong basis for teaching others. Those who enjoy hands-on learning and problem solving may find this an interesting career to pursue.

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MicroPython Mega Course

Build IoT with Sensors and ESP8266

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What's inside

Learning objectives

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Micropython iot with esp8266 basics

Activities

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