Internet of Things (IoT) Course

Power ahead in your career with the biggest technology trend by learning cutting edge technologies and become an IoT expert.

12 Months


⭐⭐⭐⭐⭐ (563)

Enquire No:

+65 96141525

Next Class Starts:


2200+ Alumni Students Upto $4000 Stifend for R&D Projects 100% Online Live Training Sessions 105+ Hiring Partners  Curriculum designed by Industry Experts

2200+ Alumni Students Upto $4000 Stifend for R&D Projects 100% Online Live Training Sessions 105+ Hiring Partners  Curriculum designed by Industry Experts


Next class starts Aug 15

Course Overview

12-Month Course Duration

- 6 months of live and interactive sessions by Data Experts
- 6 months of research and development projects at Geeklurn AI Solution

320+ hours of Live Training Interactive Sessions by Data Scientists

Scholarships up to $4000 on the type of Research Project undertaken

100% Placement Assistance

Placement Opportunities with our partners after course completion

Why the Internet of Things (IoT)?

Internet of Things (IoT) is the technological concept where the internet or the world wide web is connected to the physical devices and objects we use in our day-to-day lives.
The Internet of Things domain is projected to grow to about 6 Billion+ endpoints by the end of 2021 which is almost a 25% increase from 2019. This means it is a huge ocean of opportunity out there.
The average salary for an IOT engineer is $4,319 per month in Singapore. A senior IOT Engineer salary at Singapore can range from $8,297 to $9,131.

Geeklurn Internet of Things (IoT) is the best digital platform to learn this great technology concept. The curriculum is curated by the leading experts in the industry and it doesn't discriminate between the freshers and the experienced professionals.


The live projects, real-life case studies and prof\ject mentorship aspects of the program help the aspirants to gain hands-on experience and land on their dream job in this domain


The program covers a comprehensive list of tools that enable the aspirants to get advanced level learning and skillset development in the IoT domain. These help the aspirants get industry level exposure as well.

It doesn’t matter whether you are a student or a professional, you can pursue this course to become a IoT Specialist if you can fulfill these prerequisites:


Natural curiosity of how to identify and solve world problems using technology


  • Quick learner and technology savvy
  • Ability to understand and comprehend technology and its trends.
  • Good interpersonal and communication skills

  • IoT/Cloud Software Developer
  • IoT Infrastructure Architect
  • IoT Systems Administrator
  • Vulnerability/Cyber Engineer
  • Test Engineer

Students Reviews

Cloud Software Developer - RNS Solutions
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The IoT course from Geeklurn is extremely useful for beginners. Along with hands on projects and assignments, the course helped me become more knowledgeable and confident about this wonderful subject.
IoT Systems Administrator -SleekDigital
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This course has prepared me to meet the market needs for IoT. The best part about the Geeklurn's IoT course is that it gives us knowledge about emerging fields such as ML, Cloud, and APIs and their contribution to IoT.
IoT Infrastructure Architect - Beyondsoft Consulting Inc.
Read More
This course has prepared me to meet the market needs for IoT. The best part about the Geeklurn's IoT course is that it gives us knowledge about emerging fields such as ML, Cloud, and APIs and their contribution to IoT.
Cloud Software Developer- MXGSOFT PTE LTD
Read More
The IoT course by Geeklurn is designed for beginners as well professionals. Even if you have zero knowledge about IoT, you can still learn all the concepts. The curriculum is great and there are various practice exercises along with each chapter.

Students Reviews




Module I - Core concepts of Embedded Systems

In the Embedded Concepts module students learn about the hardware and software architecture of an Embedded System. They get an idea about the constraints and challenges involved in embedded system development and are introduced to different approaches for Embedded System Development Lifecycle (ESDL). They will learn how to model the software for an embedded system and how to make the right choice of platforms and programming language to be used. A brush up is provided for basic analog and digital electronics.


  • Analog Electronics : Semi Conductor devices-Diodes, Transistors & Operational Amplifiers
  • Memory devices and hierarchy, IO devices and methods, Bus Characteristics
  • Digital Electronics: Number Systems, Boolean Algebra, Boolean Algebra Implementation of Circuits. Combinational and Sequential logic
  • Processor 8086- Features, Architecture, Addressing Modes, instruction set
  • Introduction to Embedded System , ESDLC, Processor Characteristics
  • Microcontroller 8051- Features, Architecture, Addressing Modes, instruction set

Through C & DS module, one should understand the value that comes with good variable names, function names, concept understanding and their implementation, and thoughtful, articulate comments. The participants spend good quality time on hands-on. The participants are also encouraged for small presentations during the session which would help them to develop their confidence and improve their presentation skills. So, by the end of this module, each participant should be able to write well-structured programs for different problem definitions using appropriate concept and data structures.


  • Introduction to C
  • Preprocessor Directives
  • Pointers
  • File I/O : Sequential and Random Access
  • Formatted I/O
  • Decision control statements & Loops
  • Storage classes(Internal Linkage & External Linkage)
  • Dynamic Memory

  • Data structures Introduction
  • Types of linked list
  • Stack and Queues
  • Trees Introduction
  • Linked list introduction
  • BST and Expressions

  • Introduction to OOP
  • Procedural Approach in C++
  • Function Overloading & Name Mangling
  • Object oriented Approach in C++
  • operator overloading
  • Constructors & Destructors
  • Dynamic memory allocation techniques
  • Static and constants
  • Friend: Function and class
  • Generic programming
  • Inheritance and “is a ” relationship
  • Run time polymorphism
  • Exception handling
  • Multithreading

  • Introduction: Testing Terminologies
  • Software Test Estimation Techniques
  • How to create a test plan
  • Test environment for software testing
  • Defect management process software
  • gcov tool for test coverage

The objective of the course is to provide strong foundation in ARM architecture, as well as programming of ARM Microcontroller using Embedded C language which is in great demand in the today’s core industry. The ARM architecture, processor modes of operation and other important features will be discussed along with the basics of interfacing peripherals like ADC, PWM and Timers. The participants are encouraged to implement a Real time project incorporating stand alone devices like ZIgbee, Bluetooth, GSM and GPS. The course satisfies the thrust to bridge the gap between the academic course and core industry skill set requirement.


  • Introduction to ARM7
  • Vector Interrupt Controller and Timers
  • Introduction to ARM Cortex M3
  • Introduction to LPC2129
  • Difference b/w ARM7 and Cortex Series Controller
  • GPIO
  • Embedded Protocols - UART, I2C, SPI
  • Programming with Cortex M3(LPC1768)

In this module the participants are going to work with UNIX/LINUX based commands and they are going to utilize them in the SHELL SCRIPTING also. This module will allows the participants to understand how the commands are being executed by the kernel as and when the user has provided it to the shell. The participants are about to know why to use, where to use and how to use shell scripting. Students are provided hands on experience on commands and shell scripting concepts.


  • File & Directory Commands Ls, mkdir, cd, pwd, rm, cat
  • Shell Scripting
  • Kernel Architectures
  • PIPE : named and unnamed pipes
  • Semaphore’s
  • Process Related Commands Ps, fg, bg, jobs
  • Conditions: if, switch, expr, test
  • File Management related system calls
  • Message Queue
  • Multithreading using Posix Threads
  • Text Manipulation Commands Head, tail, cut, paste, sort, diff, comm
  • Loops: while, for

  • Code Coverage
  • Performance Testing
  • V Model
  • Gate Level Testing
  • Test Plan & Test Cases
  • Black Box Testing
  • White Box Testing
  • SOC Testing

Module II - IoT Specialization

  • RTOS Characteristics and Components
  • Task Management
  • Inter Task Synchronization - Mutex
  • Introduction to Free RTOS
  • RTOS Schedulers
  • Inter Task Communication - Message Queues
  • Porting of FreeRTOS on LPC2129
  • Inter Task Synchronization - Semaphores
  • Interrupts , System Ticks

  • Introduction to Python
  • Defining Functions
  • Set and Dictionary
  • Python Data types and Conditions
  • List and Tuple
  • File Handling & Exception Handling
  • Control Statements
  • List Comprehension
  • Object Oriented Programming

  • CAN: Introduction, Features
  • Synchronization, CSMA-CD
  • Overview : Design and Development of ECU
  • SBUS CAN using BUS MASTER Software & OBD-2
  • AUTOSAR Layer Model
  • CAN from OSI perspective
  • Implementing CAN Messaging system
  • MISRA C, Static Analysis Tool hands on for selected programs
  • Advance CAN-CANoe-CAPL
  • RTE or VFB Overview, Developing Software Component
  • CAN Frames, Errors, NRZ
  • Automotive Embedded Systems
  • Code Optimization techniques
  • Introduction to UDS
  • Interfaces. RTE Buffers and RTE Communication

  • Introduction to IoT Standards
  • Introduction to IOT technology and application landscape
  • Key Elements in IOT Solution : Edge node, Gateway
  • IOT Protocols
  • Datalink Protocols: Bluetooth, Zigbee
  • IoT Edge Node –Application Development

  • Introduction to Hardware Platform
  • Raspberry Pi3 Evaluation board architecture, Building and setting up RASPBIAN on the kit
  • Updating and upgrading RASPBIAN. Installing required packages
  • Designing RPi as Web Server
  • Server configuration. Setting up RPi 3 as Web Server. Setting up Rpi for Mail Transfer using SMTP
  • Interfacing peripheral
  • Raspberry Pi3 GPIO programming
  • BCM Mode and Board mode. Interfacing LCD module. Interfacing sensors and actuators
  • Connecting to Cloud
  • REST and MQTT communication protocols
  • Configuring Serial Communication
  • Wireless communication between Edge node and gateway using Zigbee
  • Interfacing DHT11 to Rpi. Installing Adafruit python package
  • IOT Automation
  • IoT applications for Smart Gateway: smart home/smart car/smart grid

  • Introduction to IOT Security :Secure Devices, Secure Communication, Secure Data, Secure Cloud
  • Secure Data Transfer from device to device using encryption and decryption
  • Encryption standards (RC4, DES, AES and Hashing)-Hands-On

  • Introduction to Machine Learning
  • Data Visualization using Python-Matplotlib, Seaborn Library
  • Decision Tree and Random forest -Support Vector Machines
  • Python Fundamentals
  • Introduction to Supervised Learning -Linear Regression Model
  • Introduction to Unsupervised Learning - K Means Clustering Algorithm
  • Python Modules – Numpy, Pandas
  • Logistic Regression Model -K-Nearest Neighbors Algorithm
  • Neural Networks and Deep Learning- Basics

  • Fundamentals of Cloud Computing
  • Virtualization
  • Amazon EC2
  • Types of Cloud
  • Hardware Virtualization
  • S3 Storage
  • Cloud Service Model
  • Windows Virtualization
  • Amazon RDS

  • Lpc 2129
  • Raspberry Pi3

Hello, world!


Analytics Industry
Sentiment Analysis on Twitter data regarding 2020 INDIAN Elections
Health Care/ Pharma Industry
AI Doctor Now Diagnoses Disease Better Than Your Doctor, Study Finds
Chip Design / Semiconductor Industry
Applying Artificial Neural Network to Predict Semiconductor Machine Outliers
Cloud Computing Industry
Fault Tolerance & Redundant System with Seamless Integration to Development on AWS
Financial Services & Software
Robo-Advisors common place in the financial domain
Agriculture Sector
Fight Food Scarcity and Empower Small Farmers

Course Features

Mentorship by Industry Experts

Professional guidance on courses related doubts from our industrial mentors.

Industrial Boost camps

Participate in hackathons, live research and development projects and online sessions.

Peer Networking

Exchange queries, project ideas, knowledge with our alumni, experts and your colleagues.

Placement Assistance

Get corporate guidance from our experienced mentors who help you get job-ready.

Course Fees

Online Training + Mentorship

$1000 USD

Apply Now

Frequently Asked Questions

An IoT solution is a combination of devices or other data sources, outfitted with sensors and internet connected hardware to securely report all information back to an IoT platform. This information is often a physical metric which can help the users answer a question or solve a specific problem.

An IoT cloud platform provides users with one or more of these key elements such as visualization tools, data security features, a workflow engine and a custom user interface to utilize the information collected from devices and other data sources in the field. Cloud platforms are based in the cloud and can be accessed from anywhere.

We have a 24x7 LMS access for all our live online classes.

Students have the leverage to buy courses using credit card EMI.

We offer a six months internship for every course after the live training sessions for the first six months. During the course of the internship, you will be exposed to industry knowledge, corporate sector, research and development and hands-on practical experience by our experts.