This training course is our focused level training course which covers the foundation core units in an advanced and professional level.

Who the course is for

This course is intended to benefit individuals looking to forward their career in the IoT arena. This may be as an engineer, technician or serious hobbyist/maker.

Each topic is covered in thorough detail and endorsed with technical activities designed to build professional-level knowledge and competence.

What you'll learn

The Internet of Things is spawning the next Industrial Revolution. You will learn what the internet is and discover how sensors and actuators use it to connect you and your things together. This program will give you a solid working knowledge of how to develop and implement your own IoT solutions using sensor connected IoT devices and IoT gateways.

Our focused training course prepares you for a host of different personal/professional opportunities by introducing you to all the core technologies that represent the backbone of automation and the Internet of things. These include:

  • Micro-controller boards and computing
  • Interconnected Sensors and Actuator technologies
  • Essential Electronics and Communications
  • Python programming
  • Networking and the Cloud
  • Machine Learning & Artificial Intelligence

As part of the training course, you are provided with a superior lab kit comprising a micro-controller system, sensors, and software.


This module will detail the training package learners will receive and assist them to configure the learning environment so they can plan, test and document their studies and assigned IoT project.

This unit provides guidance on a choice of projects that can be chosen as part of the practical content of the course.  Categories for your elected project include IoT projects in Home, Industry or Commercial contexts.

What is the IoT, is it new?  Well, we have actually been using it for years now, but the principles and technologies upon which it is built have finally achieved more definition and standardization has followed. This module explores the IoT, Its structure, components, capabilities, and terminology.

  1. Automation – Past Present & Future
  2. IoT and the new industrial revolution
  3. The IoT landscape- Presenting a model view of A&IoT
  4. IoT Evolution – Machine learning & Artificial intelligence
  5. Understanding the technologies that underpin IoT

A good understanding of the underlying technology is essential for working seriously with the IoT. This module exposes key topics in order that the learner can understand the functionality of interconnecting technologies while using them to construct their IoT project.

A key concept with automation and the IoT is the ‘sense, solve, actuate’ nature of its functionality. This module focuses on the ‘solve’ aspects of such projects and introduces Python as an ideal platform for ‘programming’ IoT projects.

  1. Introduction to programming languages
  2. Understanding the Python language
    • Using the Anaconda distribution with Jupyter Notebook and Python
    • Python IDLE, shell and syntax basics
  3. General arithmetic functions, properties, and data types
  4. Creating & using variables
  5. Simple python functions
  6. Importing functions from other distributions
  7. Soliciting operator input to your programs
  8. Simple Lists, Tuples, Sets, and Dictionaries
  9. Simple Loops and Software structs

With advances in technology, electronic components and integrated circuits have become small enough to embed in a number of different things. This module explores the hardware and architecture components that make up the hardware in IoT

  1. Current technology microcontrollers and the IoT
  2. Embedded systems
  3. Raspberry Pi & Arduino example systems
    • GPIO pins, LEDs & Shields
    • Peripherals
      • Displays, Keyboards, etc
  4. Raspbian Stretch OS for Raspberry PI3

Automation and IoT solutions require sensors to sample the real world and feedback data to the controller for processing and the corresponding output. This module looks at the many sensors and actuators that are available and connects them to your hardware to illustrate the ‘sense, solve, actuate’ principle covered earlier.

  1. Getting data from the physical world to the digital world
  2. Real-time data for analysis & action
  3. Temperature, Pressure, Motion, Humidity, transducers, etc.
  4. Introduction to Microelectromechanical systems (MEMS)
  5. Interfacing & Breadboarding choice project sensors and actuators
  6. Using Python to access, process and display the received data

Without communication, the Internet of Things does not exist. In this unit, we look at the options and principles that allow our remotely attached IoT devices to communicate over long (or short) distances and provide valuable, timely and cost-effective data for analysis.

  1. Real-Time communications dilemma for the IoT
  2. Understanding the internet
    • Basic architecture
      • TCP/IP principles and addressing
      • IP v4 & 6 explained
  1. The cloud defined
  2. Interfacing to the internet cloud using WiFi & Cellular services
  3. Transmit data over the Internet and control an IoT device
  4. Wired & Wireless communications Overview
    • Cellular, Ethernet & Wi-Fi, GPS
  5. Protocols & Standards for the IoT cloud
    • Cloud, Fog & Mist (Edge) computing
    • Using FLASK with Raspian
    • Core IoT Functional Stack

This module explores more in-depth Python 3 features, topics, and packages for data science specialisms.

Machine learning is a data analysis technique that teaches computers to ‘learn from experience’; something that we humans do reasonably well in simple scenarios.

In this module, we will consider and address the possibilities that exist to enhance the project you built during this course by looking at Smart Machines & Artificial Intelligence.

Options will be determined by the elected project chosen.


None Required

Career Outcomes

After completing this program, you would have acquired professional skills related to connected IoT devices, IoT gateways, cloud, and advanced IoT analytics. This complete IoT skill-set will enable you to conceive, design and implement end-to-end IoT applications helping you build a strong career in IoT.

Our training intentionally covers a range of core technologies that can be further studied with Techlearn or our industry partners. These technologies would enhance your IoT skill-set and you can become a full-stack IoT Specialist. The elective technologies are –

  • Cloud Computing
  • Data Analytics
  • Artificial Intelligence
  • Home or Industrial Automation

Career opportunities  include:

  • Operational Technology Specialist
  • Information technology (IoT Analyst)
  • IoT Professional

Did you know?

  1. IoT is around us for decades – The first IoT enabled device is ATM machine commissioned in 1970
  2. Smart and Automated driving is coming – By 2022, a quarter of a billion vehicles will be connected to the internet via IoT enabled devices
  3. The smart home automation market could grow of $53 Bn by 2022
  4. The wearable market is growing with worth $25 Bn by 2025
Internet of Things

6 month course


On Demand

Price on Application

Techlearn Online Lab or Client Venue
Techlearn Online Lab or Client Venue

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