IoT Development with Raspberry Course Overview

IoT Development with Raspberry Course Overview

The "IoT Development with Raspberry" course is designed to equip learners with the skills needed to build and deploy Internet of Things (IoT) applications using the Raspberry Pi platform. This comprehensive Raspberry training covers the basics of IoT, the functionalities of the Raspberry Pi, and progresses to more advanced topics such as GPIO programming, interfacing with sensors and actuators, communication protocols, and cloud integration.

Throughout the course, participants will gain hands-on experience by setting up their Raspberry Pi environment, writing Python code, and developing real-world IoT projects. They will also learn about crucial aspects like security, privacy, and system management. By the end of this Raspberry Pi course, learners will have a solid understanding of how to connect Raspberry Pi to external devices, manage file permissions, schedule tasks, and create robust IoT services, positioning them well for a future in IoT development.

Purchase This Course


  • Live Online Training (Duration : 40 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • date-img
  • date-img

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

  • Live Online Training (Duration : 40 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

Request More Information

Email:  WhatsApp:

Koenig's Unique Offerings


1-on-1 Training

Schedule personalized sessions based upon your availability.


Customized Training

Tailor your learning experience. Dive deeper in topics of greater interest to you.


4-Hour Sessions

Optimize learning with Koenig's 4-hour sessions, balancing knowledge retention and time constraints.


Free Demo Class

Join our training with confidence. Attend a free demo class to experience our expert trainers and get all your queries answered.

Course Prerequisites

To ensure that you can successfully undertake the IoT Development with Raspberry Pi course, the following minimum prerequisites are recommended:

  • Basic understanding of computer systems and the internet.
  • Familiarity with the concept of electronic devices such as microcontrollers or single-board computers.
  • Basic knowledge of electronics and the ability to understand electronic circuits (for interfacing with sensors and actuators).
  • Prior experience with any programming language (Python is preferred as it will be used extensively in the course).
  • Ability to use a text editor and execute commands in a terminal or command-line interface.
  • An understanding of basic networking principles and communication protocols would be beneficial.
  • Willingness to engage in hands-on practical work, as the course involves setting up hardware and writing software.

These prerequisites are designed to ensure that you have a smooth learning experience during the course. However, the course is structured to be accessible even if you are new to some of these concepts, as long as you have a willingness to learn and explore the exciting world of IoT with Raspberry Pi.

Target Audience for IoT Development with Raspberry

  1. "IoT Development with Raspberry" is an in-depth course designed for individuals interested in building and deploying IoT solutions using Raspberry Pi and Python.

  2. Target audience and job roles for the course include:

    • IoT Enthusiasts and Hobbyists
    • Students pursuing degrees in Computer Science, Electrical Engineering, or related fields
    • Software Developers looking to expand into IoT application development
    • Embedded Systems Engineers seeking to incorporate IoT in their projects
    • Product Managers and Technical Leads overseeing IoT product development
    • IT Professionals aiming to learn about IoT integrations and cloud connectivity
    • Educators and Trainers specializing in IoT and Raspberry Pi curriculums
    • Makers and DIYers interested in home automation and personal IoT projects
    • Hardware Developers needing to understand software interfacing with Raspberry Pi
    • Data Scientists interested in real-time data collection from sensors
    • Security Specialists focusing on securing IoT devices and communications
    • System Administrators tasked with managing and deploying IoT infrastructures
    • Network Engineers looking to understand IoT communication protocols
    • Technical Support Engineers providing support for IoT devices and systems
    • Entrepreneurs exploring opportunities in the IoT space
    • Research and Development professionals working on IoT innovations

Learning Objectives - What you will Learn in this IoT Development with Raspberry?

  1. Introduction: This IoT Development with Raspberry Pi course equips learners with the skills to create, deploy, and secure IoT applications utilizing Python and Raspberry Pi technology.

  2. Learning Objectives and Outcomes:

  • Understand the fundamentals of the Internet of Things (IoT) and its real-world applications.
  • Gain proficiency in setting up and configuring the Raspberry Pi environment for IoT projects.
  • Learn to program the Raspberry Pi GPIO for controlling LEDs, sensors, and other components.
  • Develop skills in interfacing a variety of sensors and actuators with the Raspberry Pi for data collection and actuation.
  • Acquire knowledge of IoT communication protocols, particularly MQTT, and their implementation in projects.
  • Explore cloud platforms for IoT, learning how to integrate Raspberry Pi devices with cloud services.
  • Master the development and deployment of IoT applications using the Python programming language.
  • Address security and privacy challenges within IoT, adopting best practices to secure devices and communications.
  • Understand the deployment and management of IoT systems, including device and data management, and system monitoring.
  • Familiarize with the essentials of shell scripting, file permissions, and task scheduling to enhance IoT device functionality.