IoT with Raspberry Pi and Python: Building Smart Systems

Unlock the power of Raspberry Pi and Python for IoT development. Build real-world projects and control devices remotely.
4.11 (301 reviews)
Udemy
platform
English
language
Hardware
category
IoT with Raspberry Pi and Python: Building Smart Systems
30 492
students
11.5 hours
content
Mar 2024
last update
$29.99
regular price

Why take this course?

It seems you've outlined a comprehensive curriculum for teaching Python programming with a focus on IoT (Internet of Things) applications, including hardware interaction, networking, and integration with social media platforms like Twitter. This curriculum is well-structured, covering both theoretical concepts and practical applications through hands-on projects and exercises.

Here's a brief overview of how the curriculum progresses from foundational programming concepts to more specialized IoT applications:

  1. Introduction to Python: Cover the basics of Python syntax, variables, data types, control structures, and functions.
  2. Looping Statements: Teach students about for loops, while loops, and loop control statements like break and continue.
  3. Strings in Python: Explore string operations, formatting, and manipulation in Python.
  4. Data Structures: Introduce lists, dictionaries, sets, and tuples, and how to manage complex data structures.
  5. File I/O: Teach students how to read from and write to files.
  6. Error Handling: Discuss exception handling using try-except blocks in Python.
  7. Modules and Packages: Explain how to use and create Python modules and packages for code reusability and organization.
  8. Working with APIs: Introduce the concept of APIs and provide hands-on experience with RESTful APIs, starting with a simple application like Twython for Twitter.
  9. Hardware Interaction: Begin with basic hardware interaction using GPIO pins on Raspberry Pi to control LEDs or read button presses.
  10. Sensors and IoT Devices: Teach students how to connect and use various sensors with Raspberry Pi, acquire data, and process it.
  11. Networking Basics: Cover the basics of networking in Python using sockets, and introduce the concept of MQTT for lightweight messaging.
  12. IoT Platforms: Dive into more complex IoT platforms like AWS IoT, Azure IoT Hub, or IBM Watson IoT.
  13. Integration with Social Media: Expand on integrating IoT devices with social media platforms to create interactive applications, such as controlling LEDs with tweets.
  14. Email Functionality in IoT: Teach students how to send and receive emails from Raspberry Pi, which is useful for notifications, alerts, or data transmission.
  15. Conclusion: Summarize the course, review key concepts, and discuss future learning paths and potential IoT projects.

This curriculum provides a solid foundation in Python programming while also exposing students to the diverse and interdisciplinary nature of IoT applications. By combining programming, hardware interaction, networking, and social media integration, students can develop comprehensive IoT solutions that are both functional and engaging. The course is designed to cater to a variety of learning styles, from theoretical understanding to practical application, ensuring that students are well-prepared for real-world IoT development challenges.

Course Gallery

IoT with Raspberry Pi and Python: Building Smart Systems – Screenshot 1
Screenshot 1IoT with Raspberry Pi and Python: Building Smart Systems
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Screenshot 2IoT with Raspberry Pi and Python: Building Smart Systems
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Screenshot 3IoT with Raspberry Pi and Python: Building Smart Systems
IoT with Raspberry Pi and Python: Building Smart Systems – Screenshot 4
Screenshot 4IoT with Raspberry Pi and Python: Building Smart Systems

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1954008
udemy ID
08/10/2018
course created date
20/11/2019
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