Curso de Raspberry Pi 4 Model B con Python, IoT y Domotica.
Learn Raspberry Pi 4 and Python programming! Explore the latest Raspberry Pi and write code with Python. Perfect for beginners and makers.
Course Content
Curso de Raspberry Pi 4 Model B con Python, IoT y Domotica. is an all-levels Udemy course taught by Roger Mamani. It runs 17h 36m, is taught in Spanish, and includes a certificate of completion. Learners rate it 4.6 out of 5 from 930 reviews, with 5,056 students enrolled. It is a paid course, last updated November 2024.
Dive into the world of Raspberry Pi with this comprehensive course, built around the latest Raspberry Pi 4! We'll cover a wide range of topics, constantly updated to reflect the newest advancements.
Here's a glimpse of what you'll learn:
- Getting Started: Discover the essential components needed to begin with your Raspberry Pi and master the installation process.
- Linux Fundamentals: Gain proficiency with basic Linux commands, the foundation for powerful computing.
- Python Programming: Unlock the potential of Python, a versatile language for Raspberry Pi projects. We'll explore:
- Library Management: Learn to effectively utilize Python libraries.
- Threading: Master concurrent programming with Python threads.
- Tkinter: Create user interfaces with the Tkinter library.
- Classes: Understand and implement object-oriented programming with Python classes.
- Hardware Interaction: Connect and control the physical world with your Raspberry Pi. Learn to use the GPIO (General Purpose Input/Output) pins.
- Connectivity: Expand your Raspberry Pi's capabilities with:
- Bluetooth: Establish wireless connections.
- Serial Communication: Interact with serial devices.
- Arduino Integration: Combine the power of Raspberry Pi with Arduino microcontrollers.
- Raspberry Pi Camera: Utilize the Raspberry Pi's camera module for image and video projects.
- Internet of Things (IoT): Explore the exciting realm of IoT and learn about Sockets for network communication.
- Database Integration: Connect your Raspberry Pi to databases for data storage and retrieval.
- MQTT & IoT Messaging: Master the MQTT protocol and its implementation in Python for efficient IoT communication.
- Cloud Computing: Deploy your projects to AWS (Amazon Web Services).
- Node-RED Programming: Visualize and program flows for IoT applications using Node-RED.
Join us for this fantastic course and unlock the full potential of your Raspberry Pi!
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