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Internship on Raspberry Pi Essentials

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17 students

About the Program

This Internship is designed for developers with experience of 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 Internship

  • 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 cloud using Raspberry pi

LEARNING PATH

 1. Raspberry Pi Architecture & Programming

Introduction to the Concept of IoT, Raspberry pi Controller, Python Programming Basics and programs shall be done by the participants. This shall serve as the first step into the entry to the advanced concepts implementation using Raspberry pi

 SESSION

 CLASS TOPICS

1 Introduction to IoT and the overview of its Applications
2 Overview of Raspberry pi Architecture and GPIO Pin Model
3 Introduction to Python Language
4 Python Basics (Hands On)
5  Interfacing led to the Raspberry pi(Hands On)
6 Interfacing Buzzers  to the Raspberry pi (Hands On)

II.                 Sensor Interface and Open Source Cloud

Interfacing Sensors like Ultrasonic Sensor, IR Sensors, Fire Sensor to the Raspberry pi Computer, Getting Data from the Sensor, and Interfacing Open Source Cloud with Raspberry pi, and Uploading of Sensor Data to the cloud forms the crux of this day of Learning.

 SESSION

 CLASS TOPICS

1 Introduction to Sensors & Raspberry Pi Interfacing
2 Working Principle of IR Sensor and Interface with Raspberry pi ( Hands On )
3 Working Principle of Ultrasonic Sensor and the interface with Raspberry pi ( Hands On )
4 Working Principle of Fire Sensor and the interface with Raspberry pi ( Hands On )
5 Upload Sensor data to the Think Speak Cloud ( Hands On )
6 Designing web Pages: Basics of HTML
7 Controlling Devices or appliances using webpage, Reading Input Status from sensor and monitoring on webpage ( Hands On )

III.              Sensor Interface and OpenCV

Interfacing Sensors like Gas Sensors to the Raspberry pi Computer, Getting Data from the Sensor, Interfacing Open Source Cloud with Raspberry pi, and Uploading of Sensor Data to the cloud , Face Recognition using Raspberry pi and OpenCV forms the crux of this day of Learning.

SESSION

CLASS TOPICS

1 Working Principle of Gas Sensor and the interface with Raspberry pi
2 Designing web Pages: Basics of HTML
3 Controlling Devices or appliances using webpage, Reading Input Status from sensor and monitoring on webpage ( Hands On )
4 Introduction to Image Processing Applications using Open CV
5   Interfacing camera to the Raspberry pi using Open cv
6  Face Recognition Application using Raspberry Pi

ML  Algorithms on Raspberry Pi

  • Introduction to Algorithm
  • File handling, Exception handling, Command line arguments, modules and packages
  • Functions, String, List
  • Python Regular Expressions
  • Data types: Array creation, I/O with NumPy, Indexing, Broadcasting, Byte-swapping, Structured arrays, Sub classing array
  • Exploring Data with Pandas, Data manipulation with Pandas
  • Statistical & Tine Series analysis with Pandas
  • Design a Learning System
  • Bayesian Learning Techniques
  • Linear models for Regression/Classification
  • Non-linear Models & Decision Trees
  • Instance-based Learning, k-Nearest Neighbour Learning

Projects & Assignments

Hands on Assignments:

Practical 1 : Blinking of LED.

Practical 2 : Turn ON/OFF Buzzer at desired delay.

Practical 3 : Creating the switch and controlling the LEDs.

Practical 4 : Controlling the LED using Web Page

Practical 4: OpenCV Applications on Raspberry Pi

Practical 5: Applying ML Algorithms on 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.

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Course Preview
  • Price
    ₹750.00
  • Instructor pantech
  • Duration 3 hours
  • Start Date March 10, 2021
  • End Date March 20, 2021
  • Training Timing 5.30PM to 7.30PM
  • Certificate Provider Pantech
  • Enrolled 17 student
  • Access Lifetime

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