Beginners Masterclass: Raspberry Pi and Internet of Things from Udemy

"With the right tools and guidance, I believe anyone can learn and master technology. That's why I offer 50% of the videos from all my courses as free previews. Feel free to watch them and enroll only if you believe the course is a good fit for you."

Are you trying to study IoT?

Are you getting confused with all the hardware and software stuffs?

Learning IoT can be very confusing especially if you’re new to electronics. Even experienced people struggle in understanding everything at one place, definitely you’re not alone

Stop Struggling to Learn IoT

I’ve created a course which will enable you to learn and experiment with IoT in a very easy way

I firmly believe that anyone regardless of their education and skills can not only learn but excel in experimenting with IoT including all the hardware and software skills.

This course is specially created for beginners in electronics hardware and cloud technologies.

"What is there to loose if you enroll in this bestseller course? You have a 30 day Full Money Back Guarantee, enroll now and start experimenting on IoT"

Hi, My name is Amit Rana, I’m an engineer, programmer and trainer

I have created “Beginners Masterclass into internet of things” to help you learn IoT with Raspberry Pi and cloud technologies.

If you’ve always wanted to

Start or shift your career to Internet of things
Get better in your existing work
Kick start your next dream IoT startup
Start your own blog and youtube channel, probably online course on this ever growing industry

… then this course is specially for you.

This course is specially created for beginners in electronics hardware and cloud technologies.

IoT is interconnecting various things and devices to send and receive data from internet enabling variety of applications

In this program, there are number of different aspects of IoT that we’re going to study

First, we’ll understand the basics of IoT and what are the different hardware and software platforms needed for it

We’ll then use raspberry pi as our controller for this course and see how we can make it up and running. We’ll see how to write python programs

For various interfaces like relays and sensors.

Once we get confident about raspberry pi, we’ll then explore IoT with Microsoft azure and few more platforms

With something like Microsoft azure, you can create any kind of system you want, we’ll see how to push data there, how to see data visualization using PowerBI,

How to save data and how to create our own custom app over there.

After Microsoft azure, we’ll see some other popular platforms like thingspeak and adafruit IO and try to create a complete home automation project using raspberry pi.

"What is there to loose if you enroll in this bestseller course? You have a 30 day Full Money Back Guarantee, enroll now and start experimenting on IoT"

In This Course, you'll learn

Basics

What is IoT and why learning it is important
How to implement IoT, what are the required softwares and hardware for IoT
What is Raspberry pi and how to setup raspberry pi for first time use
Introduction to Python programming with raspberry pi
Interfacing of various sensors and output devices with raspberry pi
Python programming to control home appliances and read sensors

Microsoft Azure IoT and Cloud Platforms

Communication protocols in IoT
What are different Cloud platforms used for IoT, what is PaaS and SaaS products
Creating account on Microsoft Azure and learning
What is IoT Hub creation and its various pricing
Pushing data to IoT hub from raspberry pi
Data Storage using Blobs

Data Visualization and Logic

What is PowerBI?
Creating account on PowerBI
Using PowerBI with Raspberry pi and Azure IoT Hub for creating reports
Create real time web app for data visualization
Create Custom Logic app to trigger and email from Azure

Thingspeak

Creating account on thingspeak
send data from raspberry pi to thingspeak
Use HTTP to send data

Adafruit IO

Deeper understanding of what is MQTT protocol
Using adafruit IO for creating IoT project using MQTT protocol
Complete Home automation project using Raspberry pi and Adafruit IO

What this course will do for you?

Give you a clear understanding of what is IoT?
Take you from a complete fresher to an experienced Raspberry PI user and programmer
Understand IoT protocols
Design your IoT systems

Who Should Enroll?

Complete Beginners into IoT and Raspberry Pi
People who understand little in IoT and want to learn Microsoft Azure IoT Hub
Freshers as well as experienced one's

This course is specially created for beginners in electronics hardware and cloud technologies.

I have been training and developing from past 10 years. With more than 50000 students trained across 150 countries, you can be assured that you’re in a good company. What’s more, there is always a 30 day money back guarantee so you’re safe about investing your money into this course.

What's inside

Learning objectives

Internet of things with microsoft azure
Azure iot hub and powerbi
Azure iot hub and stream analytics job
Create custom web app using azure
Iot platform : thingspeak

Iot platform: adafruit io
Azure iot hub
Raspberry pi and sensor interfacing
Python programming
Device control with python and iot

Internet of things with microsoft azure
Azure iot hub and powerbi
Azure iot hub and stream analytics job
Create custom web app using azure
Iot platform : thingspeak
Iot platform: adafruit io
Azure iot hub
Raspberry pi and sensor interfacing
Python programming
Device control with python and iot

Syllabus

Course Agenda

Introduction to the Course and what will you learn?

About Course

Resources to Download

Answer some quick questions before proceeding

Answer Couple of Questions before proceeding

if you use this method, then you can skip all below methods and jump to next section

Thanks

Amit

The process of installing Operating system on raspberry Pi is changed.

Now the only way to install OS is using the Raspberry Pi OS image as shown in this video.

The next 2 Videos are optional now, and kept here for just understanding all ways. I still recommend going through all videos to keep a clear understanding of the process.

Keep experimenting!!!

Amit

RPi OS Questions

Lets answer some linux related questions

Please check this link https://github.com/Azure/azure-iot-cli-extension

AND

az extension add --name azure-cli-iot-ext

is replaced by

az extension add --name azure-iot

Some quick questions about GPIO Input

some quick question about raspberry pi

From 1st May 2020 the Logic App gmail connector won't properly, so in the logic app designer, instead of gmail use SMTP to send email.

Make sure you ENABLE the less secure apps in your gmail settings by going here

https://myaccount.google.com/lesssecureapps

And then use these settings to configure GMAIL account in SMTP action within logic app

SMTP server address : smtp.gmail.com
smtp port no : 587
Use SSL : YES, check mark that box over there

I repeat, double check if you've enabled the less secure apps for your gmail account which you're going to use to send email.

I have quickly made this video also to ensure you can do it well.

Please follow the video and let me know if you were successful in doing so or not

All the best

Amit

1. Try to see the add widgets directly from the options on dashboard of channel, you can add a guage or numeric display directly

2. There is an app called thingtweet which can tweet on behalf of your device. The format of sending the GET request is the same, all you have to do is connect to your twitter account and use the Formatting to send the request to thingspeak and then to twitter. See details here
https://thingspeak.com/apps/thingtweets

3. Time Control, is another thingspeak app which can be used with other thingspeak apps to perform an action at a specific time, or even continuously at a regular schedule. It can be used with other thingspeak app just like thingtweets. See more details here
https://thingspeak.com/apps/timecontrols

Conclusion

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Uses Raspberry Pi as a central controller, which is a popular choice for prototyping and educational projects due to its versatility and extensive community support

Covers Microsoft Azure, a leading cloud platform, enabling learners to develop skills applicable to enterprise-level IoT solutions and gain familiarity with industry-standard tools

Explores multiple IoT platforms like ThingSpeak and Adafruit IO, providing a broader understanding of the IoT ecosystem and allowing learners to choose platforms based on their project needs

Requires learners to enable less secure apps in Gmail settings to use the SMTP connector within Azure Logic Apps, which may pose a security risk if not handled carefully

Teaches Power BI for data visualization, which is a valuable skill for presenting and interpreting IoT data, but requires learners to create an account and learn a separate software package

Features content that refers to installing Raspberry Pi OS using NOOBS, but states that this method is no longer needed and kept only for reference, which may cause confusion for beginners

Reviews summary

Practical raspberry pi and iot for beginners

According to learners, this course provides a solid foundation for complete beginners looking to enter the world of IoT using Raspberry Pi. Many students praise the hands-on, practical approach with real projects, finding the explanations clear and easy to follow. The course covers multiple cloud platforms like Microsoft Azure, Thingspeak, and Adafruit IO, which students find valuable for gaining broad exposure. While some parts related to fast-changing cloud services might require minor adjustments or external documentation due to updates, the course content is generally considered relevant and up-to-date, with the instructor reportedly making efforts to update videos.

Instructor actively updates course content and provides support.

"The instructor is responsive in the Q&A section."

"He has updated videos to reflect changes in Raspberry Pi OS installation."

"It's good to see the course being maintained and improved over time."

"I appreciate the notes in the syllabus pointing out recent changes and fixes."

Covers multiple IoT cloud platforms like Azure, Thingspeak, Adafruit IO.

"I liked that the course introduced several different cloud platforms."

"Getting exposure to Azure, Thingspeak, and Adafruit IO was a major plus."

"It gives you a good overview of options available for IoT cloud integration."

"Comparing the different platforms helped me decide which one might suit my future projects."

Instructor's teaching style and clarity of concepts.

"The instructor explains complex topics in a simple and clear manner."

"His explanations are easy to follow, even for beginners."

"I appreciated how clearly the coding examples and circuit diagrams were presented."

"The video quality and audio are good, making it easy to concentrate and learn."

Emphasis on practical application and building real projects.

"The projects are well-explained and help solidify understanding of concepts."

"I really enjoyed the hands-on labs and building the home automation project."

"Learning by doing was key, and the practical examples were very helpful."

"The course provides practical exercises that you can actually implement."

Course is highly praised as a great starting point for newcomers.

"This course is perfect for someone who is new to IoT and Raspberry Pi."

"As a complete beginner, I found the content easy to understand and follow."

"A really good course for those wanting to get started in IoT with Raspberry Pi."

"I had zero experience with Raspberry Pi and IoT, and this course made it accessible."

Mentions the challenge of rapidly changing cloud services.

"Azure interface changes can make some steps slightly different from the videos."

"Sometimes the cloud platforms update, requiring minor tweaks to the code or setup."

"While the core concepts are relevant, specific platform UIs might differ."

"It's expected with cloud tech, but sometimes frustrating when a demo doesn't match exactly."

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 Beginners Masterclass: Raspberry Pi and Internet of Things with these activities:

Review Python Fundamentals

Show steps

Solidify your understanding of Python basics, which are essential for programming the Raspberry Pi and interacting with sensors and cloud platforms in this course.

Browse courses on Python Programming

Show steps

Review basic syntax, data types, and control flow.
Practice writing simple scripts to manipulate data.
Familiarize yourself with common Python libraries.

Brush Up on Basic Electronics Concepts

Show steps

Revisit fundamental electronics concepts to better understand how to interface sensors and control devices with the Raspberry Pi.

Browse courses on Electronics Fundamentals

Show steps

Review basic circuit components like resistors, capacitors, and LEDs.
Understand voltage, current, and resistance relationships.
Familiarize yourself with basic circuit diagrams.

Review 'Raspberry Pi Cookbook'

Show steps

Explore practical examples and recipes for using Raspberry Pi, which will enhance your ability to apply the concepts learned in the course to real-world projects.

View Raspberry Pi Cookbook on Amazon

Show steps

Browse the table of contents to identify relevant recipes.
Work through a few recipes related to sensor interfacing or cloud connectivity.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Simple Home Automation Prototype

Show steps

Apply your knowledge by building a simple home automation project using Raspberry Pi, sensors, and a cloud platform like Adafruit IO.

Show steps

Connect a temperature sensor to the Raspberry Pi.
Send sensor data to Adafruit IO.
Create a dashboard to visualize the data.
Add a relay to control a light based on temperature readings.

Document Your IoT Project

Show steps

Reinforce your understanding by documenting your IoT project, including hardware setup, code, and cloud platform integration.

Show steps

Describe the project's purpose and functionality.
Create a wiring diagram of the hardware setup.
Explain the code used to read sensors and send data.
Document the steps to integrate with the chosen cloud platform.

Explore Advanced Azure IoT Tutorials

Show steps

Deepen your knowledge of Azure IoT by following advanced tutorials on topics like device provisioning, security, and data analytics.

Show steps

Find tutorials on the Microsoft Azure website.
Follow a tutorial on setting up device provisioning service.
Implement a security feature like device authentication.
Explore data analytics options within Azure IoT Hub.

Contribute to an IoT Open Source Project

Show steps

Enhance your skills and contribute to the IoT community by participating in an open-source project related to Raspberry Pi or cloud platforms.

Show steps

Find an IoT open-source project on GitHub.
Read the project's documentation and contribution guidelines.
Identify a bug or feature to work on.
Submit a pull request with your changes.

Career center

Learners who complete Beginners Masterclass: Raspberry Pi and Internet of Things will develop knowledge and skills that may be useful to these careers:

Internet of Things Developer

An Internet of Things Developer creates and maintains systems that connect physical devices to the internet. This role involves working with both hardware and software and this course helps build a foundation in these areas, specifically with Raspberry Pi and cloud platforms. The course provides hands-on experience in interfacing sensors and actuators with the Raspberry Pi, along with programming in Python. This course is particularly helpful because it directly addresses the challenges of learning IoT from the ground up and also familiarizes you with cloud services, such as Microsoft Azure, and data visualization tools like PowerBI.

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

Embedded Systems Engineer

An Embedded Systems Engineer designs, develops, and tests the software and hardware that controls embedded systems within devices. This course helps you understand microcontroller programming and interfacing using the Raspberry Pi, a very popular single board computer among embedded systems engineers. You will learn how to use Python to interact with sensors and actuators and how to utilize cloud services for data storage and visualization. This is an excellent course for those interested in embedded systems because it teaches practical skills in IoT with a focus on hands-on experimentation.

See salaries and explore the career path for Embedded Systems Engineer

Solutions Architect

A Solutions Architect designs and oversees the implementation of complex technology solutions. This role often involves integrating various hardware and software components. This course helps build a foundation in understanding IoT architecture, using Raspberry Pi as a hardware platform, and connecting it to cloud platforms like Microsoft Azure. The course's focus on data visualization and custom app creation using PowerBI and Azure can help an aspiring solutions architect develop the necessary background to design comprehensive IoT systems. This course can help a candidate demonstrate real world examples of designing and deploying IoT solutions.

See salaries and explore the career path for Solutions Architect

Automation Engineer

An Automation Engineer designs and implements systems that automate industrial or home processes. This course provides an excellent entry point into the field with its focus on the practical implementation of IoT systems using Raspberry Pi. The course covers sensor interfacing, Python Programming, and cloud platform integration, which are all essential elements of an automated system. The hands-on experience with a complete home automation project is particularly beneficial because it offers real world experience with these concepts. This course will help an automation engineer develop the skills needed to design and implement effective automated solutions.

See salaries and explore the career path for Automation Engineer

Cloud Solutions Engineer

A Cloud Solutions Engineer designs, develops, and manages cloud based services. This course, focusing on IoT with cloud technologies, gives engineers the necessary skills in data storage and visualization through use of tools like Microsoft Azure and PowerBI. The course teaches how to push data from devices to the cloud and create custom web apps for data visualization using different platforms. For an aspiring Cloud Solutions Engineer, this course helps build a practical understanding of cloud integration that they can apply to their own work.

See salaries and explore the career path for Cloud Solutions Engineer

Hardware Engineer

A Hardware Engineer designs, develops, and tests physical components and systems. This course helps you understand how to interface with various sensors and output devices using a Raspberry Pi. It covers essential components of electronics and embedded systems. A hardware engineer might find the practical experience in the course valuable, especially the hands-on experimentation with Raspberry Pi and its peripherals. This course allows you to gain a better understanding of how different hardware can be controlled and integrated.

See salaries and explore the career path for Hardware Engineer

Data Visualization Specialist

A Data Visualization Specialist transforms raw data into understandable and actionable visual formats. This course introduces you to PowerBI, a powerful tool for data analysis and visualization. You will learn how to create reports and real time web apps by connecting data collected from IoT devices. The course is particularly helpful because it provides hands-on experience in creating visualizations from IoT data. This provides a strong foundation for an aspiring Data Visualization Specialist.

See salaries and explore the career path for Data Visualization Specialist

Robotics Technician

A Robotics Technician builds, tests, and maintains robotic systems. This course may be useful as it offers practical experience in interfacing sensors, programming with Python, and integrating hardware and software. While the course is not exclusively focused on robotics, it can help in understanding the fundamental hardware and software components of robotic systems and how they connect to the cloud. The hands-on projects in this course help in gaining a practical understanding of the underlying technologies used in robotics.

See salaries and explore the career path for Robotics Technician

Technical Trainer

A Technical Trainer develops and delivers technical training programs. This course has the potential to assist a trainer with learning the fundamentals of IoT and cloud platforms. The course includes hands on experience and covers Raspberry Pi usage, Python programming for hardware, and integration with cloud services. These skills make it suitable for a Technical Trainer, especially if they want to use IoT in their training materials. This course may be useful in broadening knowledge about IoT.

See salaries and explore the career path for Technical Trainer

Python Developer

A Python Developer writes and maintains software using the Python programming language. This course helps you gain experience in writing Python programs for device control and sensor interaction with a Raspberry Pi. It also introduces you to using Python to send data to cloud platforms. While the course is not primarily about general software development, it is still beneficial to those interested in IoT. The course gives hands-on practice with Python in a real-world context.

See salaries and explore the career path for Python Developer

Technical Writer

A Technical Writer creates documentation for technical products or services. This course may be useful in gaining hands-on experience in a specific area of technology. The course covers the practical aspects of IoT, such as hardware setups, Python Programming, cloud platform integration, and data visualization. These skills could help them better understand and document the technical aspects of IoT solutions. The course can be a stepping stone in understanding the core concepts of IoT.

See salaries and explore the career path for Technical Writer

Quality Assurance Analyst

A Quality Assurance Analyst tests software and hardware to ensure they meet quality standards. This course may be helpful by introducing working with software and hardware, and testing their reliability and functionality. The course covers Python programming with Raspberry Pi, sensor interfacing and cloud integration. This knowledge of the software and hardware integration process may be helpful. This course can familiarize someone with integrated systems.

See salaries and explore the career path for Quality Assurance Analyst

Network Administrator

A Network Administrator sets up and maintains computer networks. This course may be useful in providing an introduction to the basics of networking in the context of internet of things. Specifically, the course touches upon communication protocols in IoT and how devices connect to cloud platforms. While the course is not directly focused on network administration, its overview of IoT communication helps understand some aspects of network devices. The course may be helpful for providing a fundamental understanding.

See salaries and explore the career path for Network Administrator

IT Support Specialist

An IT Support Specialist provides technical assistance to computer users. This course may be useful, as it helps build foundational skills in both hardware and software. The course covers Raspberry Pi with sensor and output devices and basic Python programming for device control. While this role is different, it may be useful for building the necessary technical background to help users with computer systems and related technologies. The course may be helpful for improving general technology skills.

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Project Manager

A Project Manager plans, executes, and closes projects within time and budget constraints. This course may be helpful if the projects involve some aspect of the Internet of Things. The course gives hands on experience with setting up devices, programming them and integrating with cloud-based platforms. This exposure and understanding of the process may be useful. The course may be helpful in understanding the different aspects of an IoT related project.

See salaries and explore the career path for Project Manager

Beginners Masterclass

Raspberry Pi and Internet of Things

What's inside

Learning objectives

Syllabus

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Reviews summary

Practical raspberry pi and iot for beginners

Activities

Career center

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