Internet Of Things1
October 8, 2024 2025-01-07 1:08Internet Of Things1
Internet of Things
Automation & Internet of Things will broaden your understanding of the internet technologies that are shaping our futures. Learning streams include domestic, commercial & Industrial themes.
smart devices
smart living
Connecting the dots of everyday life through intelligent devices
about this course
The population of our planet is currently around 8.2 billion and is expected to rise to over 9 billion by the year 2026. More than half of the population will be connected to the internet by then; but so will the majority of our things too. They will include – our homes, white goods, personal devices, communicators, clothes, vehicles, workplaces, etc!
This so-called ‘Internet of things (IoT) is part of the new digital revolution that is enhancing our lives and presenting a great number of opportunities we can benefit from.
This course presents an essential introduction to Automation & the Internet of Things. It will provide you with new knowledge & skills to further your understanding of the technologies that lay the foundation of today and for tomorrow.
Who the course is for
If you are an individual who is seeking to advance your knowledge and understanding of the digital things around you; or maybe you are interested in building an IoT project or maybe you wish to pursue the extensive career opportunities that education in this field will bring – then this course is the starting point for you.
What you'll learn
By completing a training course in the Internet of Things (IoT), delegates can expect to learn a variety of new skills and knowledge associated with today’s technologies.
The course will guide you through the essential technologies that make up Automation & IoT environments.
Underpinning the essential knowledge that you will receive during the training are a number of course activities that you will participate in.
These include:
- Computer science & Data Analytics
- Microcontrollers, Smart Sensors, and Actuators
- Electrical/Electronics and Communication technologies
- Computers & programming,
- Real-world projects with Raspberry Pi & Arduino
- Cloud computing & Artificial Intelligence
As part of this training course you have the option to purchase A&IoT training kits and enroll in our Face to Face and/or Focussed training programs where you spend more ‘Practical’ and hands-on time developing your skills in the topics above.
Curriculum
This course follows the following topics and content
- Administration
- Course Objectives
- Fundamentals of IoT
- A&IoT Technologies
- Hardware and software integration
- Microcontroller & hardware systems
- Python Programming
- Networking and communication
- Data Analytics
Activities include:
- Setting up an IoT project with a Raspberry Pi
- Writing a simple program to control an IoT device
- Sending and retrieving IoT data on the Internet
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Prerequisite
There are no pre-requisites for this training course.
Career Outcomes
Understanding the base of A&IoT technologies is the first step to new career opportunities.
Did you know?
By enrolling to the foundation or focussed training programs you will get your course fees for Overview session waived off. It’s a saving of upto $500 from the full fee cost of advance learning.
Dates, Fees & Location
The Overview course in IoT is now delivered online or in the classroom. Our trainer will send you information and instruction to connect online or get in touch with you about the venue and schedule.
- Date – On Demand
- Day – Every Weekday
- Duration – 1 Day only
- Time – 9 – 5 pm
- Location – Online or Classroom based
- Fee – Price on Application
- Weekdays
- On Demand
- Price on Application
- Techlearn Online Lab or Classroom
testimonial
artificial intelligence
artificial intelligence
data analytics
data analytics
about this course
Revolutionary technologies are driving digital transformation in our homes, offices, industries and & society in general. Automation & the Internet of Things (A&IoT) continues to spread across our home and industries and produces huge volumes of data. This course will give you the tools to recognise the technologies and deploy the concepts in a fun and exciting way.
This course spans a full week of hybrid learning (mix of instructor led online and classroom) coupled with some fun learning activities to complete at home.
Who the course is for
This course is intended to benefit individuals who don’t want to be left behind with the surging technologies that drive our social, domestic and professional lives. Maybe you are looking to upskill for your current job role or gain better prospects for future employment!
Understanding the IoT and its variants such as the Industrial Internet of things (IIoT) and Automation & Internet of Things (A&IoT) is crucial for updating your skills and competence in this evolving technology.
What you'll learn
- Micro-controller boards and computing
- Interconnected Sensors and Actuator technologies
- Essential Electronics and Communications
- Python programming
- Networking and the Cloud
Curriculum
Today the digital transformation that is being brought about, in part by the IoT, is producing huge masses of data. This data is precious when time and resources are utilized to make use of the information that it represents. This effort can be slow and costly for humans to perform, so machines running software algorithms are progressively being deployed to turn the information into knowledge that we can benefit from.
This section will explain the course purpose, project work, and pathways. Learners introduce themselves and are introduced to their new Raspberry Pi and other systems, hardware and applications used in the training program
This module provides a good introduction to the training course. The learning outcomes are emphasized and placed into perspective with the hardware and software utilized on the training course. The trainer will explain the concepts of Data Science, Machine Learning (ML) and Artificial Intelligence (AI) in context with the IoT, its structure, components, and capabilities.
A good understanding of the underlying technologies is essential for working seriously with the IoT. This module exposes key topics in order that you can understand the functionality of interconnecting technologies while using them to construct your real IoT project in the classroom and deploy it at home!
This is an essential foundation module where the learner is introduced to various subject matter necessary to complete the A&IoT foundation program. Subject matter includes –
- Relevant principles & definitions, work-based context
- Introduction to IoT principles and associated technologies in hardware & software.
- Essential electrical/electronics principles
- How sensors are utilized in A&IoT
- Digital Techniques are explained with Data Structures and types being constructed using Raspberry Pi3
- Programming concepts are introduced for Java, Python, etc
With advances in technology, electronic components, integrated circuits, and systems on a chip (SoC) have become small enough to embed in a number of different things. This module explores the hardware and architecture components that make up typical hardware in the IoT.
- You will be provided with a Single Board Computer (SBC) in the form of a Raspberry Pi3B+ to perform the exciting activities that underpin all of the learning outcomes on this course.
- This module also introduces the Linux OS, Command Line scripting with BASH
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.
A good introduction to digital data communication is presented in this module. The internet and protocols are defined and configured for A&IoT purpose. The training material covers wired and wireless technologies including
- Ethernet, TCP/IP and serial communication such as I2C
- Online IoT services are also explored with practical demonstration.
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. Python is an ideal language to learn and is preferred by many data scientists for ML & AI based IoT solutions.
The IoT typically uses the Internet to allow IoT devices to be monitored and controlled. This module will explore the options we have for interconnecting our devices to the cloud. Using Flask & Python you will learn how to connect multiple sensors and actuator devices over the internet and display information from IoT cloud services and HTML. This module also negotiates the real-time data dilemma for automation by investigating appropriate architectures/configurations to receive sensor data in “real-time” to control the time-critical process and machines.
This module introduces the important concepts of AI and Machine learning that teaches computers to ‘learn from experience’; something that we humans do reasonably well in simple scenarios. As a precursor to further study in this tech area, we will consider the possibilities that exist to enhance the project you built during this course by looking at Smart Machines & Artificial Intelligence.
Prerequisite
Basic knowledge of computer or ICT is all you need.
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?
- IoT is around us for decades – The first IoT enabled device is ATM machine commissioned in 1970
- Smart and Automated driving is coming – By 2020, a quarter of a billion vehicles will be connected to the internet via IoT enabled devices
- The smart home automation market could grow of $53 Bn by 2022
- The wearable market is growing with worth $25 Bn by 2020
Dates, Fees & Location
The Foundation course in IoT is commencing every 1st and 3rd Monday of the month at Techlearn Online Lab Facility
- Date – Aug 2021 – Dec 2021
- Day – Weekdays Only
- Duration – Flexible Learning
- Time – Business or after hours (Flexible Learning)
- Location – Online (Instructor Led) and flexibility of 1-day classroom
- Fee – $2,500
This course is now delivered online via Zoom and in the classroom. Techlearn also offers study loan for this course via the third party, please explore our study loan option for further information.
- Weekdays
- On Demand
- Price on Application
- Techlearn Online Lab or Classroom
testimonial
autonomous technology
autonomous technology
artificial intelligence
artificial intelligence
about this course
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
- Micro-controller boards and computing
- Interconnected Sensors and Actuator technologies
- Essential Electronics and Communications
- Python programming
- Networking and the Cloud
- Machine Learning & Artificial Intelligence
Curriculum
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.
- Automation – Past Present & Future
- IoT and the new industrial revolution
- The IoT landscape- Presenting a model view of A&IoT
- IoT Evolution – Machine learning & Artificial intelligence
- 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.
- Introduction to programming languages
- Understanding the Python language
- Using the Anaconda distribution with Jupyter Notebook and Python
- Python IDLE, shell and syntax basics
- General arithmetic functions, properties, and data types
- Creating & using variables
- Simple python functions
- Importing functions from other distributions
- Soliciting operator input to your programs
- Simple Lists, Tuples, Sets, and Dictionaries
- 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
- Current technology microcontrollers and the IoT
- Embedded systems
- Raspberry Pi & Arduino example systems
- GPIO pins, LEDs & Shields
- Peripherals
- Displays, Keyboards, etc
- 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.
- Getting data from the physical world to the digital world
- Real-time data for analysis & action
- Temperature, Pressure, Motion, Humidity, transducers, etc.
- Introduction to Microelectromechanical systems (MEMS)
- Interfacing & Breadboarding choice project sensors and actuators
- 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.
- Real-Time communications dilemma for the IoT
- Understanding the internet
- Basic architecture
- TCP/IP principles and addressing
- IP v4 & 6 explained
- Basic architecture
- The cloud defined
- Interfacing to the internet cloud using WiFi & Cellular services
- Transmit data over the Internet and control an IoT device
- Wired & Wireless communications Overview
- Cellular, Ethernet & Wi-Fi, GPS
- 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.
Prerequisite
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?
- IoT is around us for decades – The first IoT enabled device is ATM machine commissioned in 1970
- Smart and Automated driving is coming – By 2022, a quarter of a billion vehicles will be connected to the internet via IoT enabled devices
- The smart home automation market could grow of $53 Bn by 2022
- The wearable market is growing with worth $25 Bn by 2025
Dates, Fees & Location
Training is offered in various flexible formats ranging from single modules to full programs. Dates for the full program will be announced via email. Please express your interest or subscribe to our newsletters and emails to get the dates in advance.
We also offer study loan for this course through third party, please explore loan option via our study pay link.
- Weekdays
- On Demand
- Price on Application
- Techlearn Online Lab or Classroom
testimonial
data analytics
data analytics
robotics
robotics
