Raspberry Pi – Complete Course

About the Program

This curriculum is designed for developers with experience in other languages who need to get up to speed on Python. At the end of this course, the students will know the essentials of the Python language, how to use Python’s module system to structure code, and how to approach the development of Python programs.

We’ll cover the core Python language and the standard library in detail. This course will cover various skills including text manipulation, modular programming, working with and retrieving data, interacting with files on your computer, and using some of the more popular third-party libraries (and getting them installed when and where we need them). The goal is to get participants up and running with Python in as short a time as possible.

Importance of the Course

Complete Architecture of Raspberry Pi, GPIO, Programming languages

Understand how to install and use Python

Understand the fundamental Python programming techniques and tools.

Discover the history of Python and how it compares to other programming languages.

Discuss its applications and the types of problems it can solve.

Technologies Overview

File handling, Exception handling, Command line arguments, modules, and packages

Linear & Non-Linear Data structures

API’s Integration with Python

Python for Socket programming, SMTP, MQTT protocols

Django Python Web frameworks

Computer vision with python

Algorithms with Python

Technologies and Tools Covered 

• Linux operating system
• Raspberry Pi
• Python Programming & Hardware
• Sensor Interface to Raspberry pi
• Cloud Interface and data upload on the cloud using Raspberry pi

What you will Learn?

• Lesson -1: Raspberry Pi Overview & Python Programming
• Lesson -2: Working with Digital Sensors – Spo2 & Pressure Sensor
• Lesson -3: Interfacing Analog sensors using MCP3008 – Flame Sensor, Level Sensor   & Moisture Sensor.
• Lesson -4: API integration with Thing Speak using Raspberry Pi
• Lesson -5: Data transmission from Raspberry Pi to AWS Cloud
• Lesson -6:  Real-time Application using Blynk App
• Lesson -7: Robot Control through Webpage using PHP
• Lesson -8: Logging sensor data to Microsoft Azure
• Lesson -9: Home Automation using MQTT & Mail alert using SMTP
• Lesson -10: Creating webpage using flask with Raspberry Pi
• Lesson -11: Logging Sensor Data to Google sheet using Raspberry Pi
• Lesson -12: Working with Sensor data & UBIDOT with Raspberry Pi
• Lesson -13: Integrating Alexa with Raspberry Pi
• Lesson -14: Working with Augment Reality & IoT using Raspberry Pi

Training Methodology

This Training Program is a suitable mix of Theory Sessions, Live Interaction with the technical Industry Experts, Hands-on Sessions, Video & Presentations, Quizzes, and Assignments. Maximum Impetus is given to Hands-on Sessions so as to enable the participants with the maximum knowledge transfer and satisfaction in the ratio 30:70.