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.

CoursePage_session_icon

Successfully delivered 3 sessions for over 4 professionals

Purchase This Course

1,675

  • Live Training (Duration : 40 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • Classroom Training price is on request

Filter By:

♱ Excluding VAT/GST

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

  • Live Training (Duration : 40 Hours)
  • Per Participant
  • Classroom Training price is on request

♱ Excluding VAT/GST

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

Request More Information

Email:  WhatsApp:

Koenig's Unique Offerings

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.

Technical Topic Explanation

System management

System management involves overseeing and coordinating the hardware, software, and networks within a computer system to ensure they work efficiently and effectively. It includes tasks like installing and maintaining operating systems, managing server performance, ensuring data security, and implementing system updates. System managers monitor system performance, troubleshoot issues, and plan for future needs to optimize the IT environment and support organizational goals. This discipline is crucial for maintaining system integrity and operability, ensuring that all components work seamlessly together.

Raspberry Pi platform

The Raspberry Pi platform comprises small, affordable computers that promote computing and digital skills development. It's extensively used for electronics projects, programming, and teaching tech fundamentals. Accessible Raspberry Pi courses are available online, offering comprehensive training and classes that guide users from basics to advanced applications. These Raspberry Pi full courses often cover system setup, coding, and project implementations, making them ideal for enthusiasts and professionals looking to expand their skill set in a practical, hands-on manner.

GPIO programming

GPIO programming involves controlling General Purpose Input/Output pins on devices like the Raspberry Pi, which are used to interact with other electronic components. By programming these GPIO pins, users can make the device respond to physical inputs (like button presses) or control outputs (like LED lights). Learning GPIO programming can be effectively achieved through a comprehensive Raspberry Pi course, which typically includes Raspberry Pi classes, training, and possibly a full online course that guides through both basic and advanced programming and hardware interaction techniques.

Communication protocols

Communication protocols are sets of rules that devices use to communicate over a network. They define how data is formatted, transmitted, and processed, ensuring that information is sent and received accurately and securely. These protocols, like HTTP, FTP, and TCP/IP, ensure compatibility across different systems and help prevent data loss or corruption, facilitating error-free data transmission and efficient network operation.

Cloud integration

Cloud integration involves combining different cloud services, like storage, processing, and applications, into a seamless and functioning whole. This enables businesses to manage their operations more effectively by ensuring that various cloud-based systems and applications can communicate and work together smoothly. By integrating multiple cloud services, companies can enhance their capabilities, improve data accessibility, and streamline workflows, leading to increased efficiency and reduced IT costs.

Interfacing with sensors and actuators

Interfacing with sensors and actuators involves connecting electronic components in a way that allows them to communicate and perform tasks. Sensors detect changes in the environment, like temperature or light, and convert them into electrical signals. Actuators, on the other hand, take these signals and act upon them, moving parts or controlling mechanisms. This interaction is crucial in robotics, automation, and smart device applications. Learning how to effectively design and implement these systems can be mastered through engaging in a Raspberry Pi full course, where practical, hands-on sessions help develop the necessary skills and knowledge.

Writing Python code

Writing Python code involves crafting instructions in the Python language to tell a computer how to perform tasks. Python is intuitive and versatile, making it popular for everything from web development to data analysis. When writing Python code, you aim to solve problems by designing functions and structures, executing logical and arithmetic operations, and manipulating data. The process includes creating scripts that are both efficient and readable, often using tools like editors or integrated development environments to help organize and debug the code. Python is especially significant in areas like automation, big data applications, and developing algorithms.

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.