certificate course in internet of things

Certificate Course in Internet of Things (IoT)

Basic Eligibility

Graduate in Engineering in IT / Computer Science / Electronics / IT & Telecommunications / Electrical / Instrumentation and other computer associated streams. No year down & no paper down from the Candidates to get placements. 60 % marks as aggregate in qualifying examination.


Post Graduate Degree in Engineering Sciences with corresponding basic degree (e.g. MSc in Computer Science, IT, Electronics) with 60% marks as aggregate in qualifying examination.

Also Equally Required:

  • Strong liking for basic Mathematics, Logical Reasoning
  • Analytical Bent of Mind
  • Desire to Learn
  • Willing to put sincere efforts and time to pick up new concepts

Course Fee:

Duration and Timings

  • Full Time Batch: 6 Months

No of Seats

  • 30 seats


  • Rs.90,000/-

Entrance Test:

  1. The online entrance test for Embedded systems design will be conducted at notified Venue on the date & time as mentioned in the schedule table.
  2. Questions will be of objective nature, with each question having four Alternative answers.
  3. There will be negative marking of 25% of the marks allotted to the Question for wrong answer.
  4. The aspects to be covered will be Quantitative Ability; Analytical and Logical Reasoning; Language Ability;


  • Boolean Algebra, Number Systems, Computer arithmetic, Logic Gates, Multiplexers, Decoders, Code Converters, Latches and Flip-flops, Counters, Shift-Registers.
  • Computer Organization & Architecture: CPU, Memory and IO access, Memory maps, Read-Write operations, Programmed IO, Polled and Interrupt driven IO, DMA data transfer, static and dynamic memory, Cache memory, Virtual memory.
  • Operating System Concepts: Process, File, Memory, I/O Management; Batch Processing, Spooling, Multiprogramming, Multiprocessing, Time-sharing.
  • C Programming Language & Data Structures
  • Constants, Data Types, Variables, Operators and Expressions, Control Flow – if, if-else, switch, for & while statements, functions, Arrays and Pointers, Structures and Unions, Input & Output in C, Preprocessor directives, Files, Bit wise

Register for – Entrance Exam registration for Master in Industrial Internet of Things (IoT)

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  • Introduction
  • What is Internet of Things?
  • Why Internet of Things is important?
  • How Internet of Things is changing the way we live?
  • Impact of Internet of Things?
  • Case study on RFID
  • The Web of Things
    • Linked data – value is greatest when linked
    • Enterprise data – shared vs. public vs. private
    • Importance of security, privacy, and authenticity
    • Industry standards
    • Web of Things layer as the driver for IoT systems
  • IoT: Architecture
    • Sensing-
    • Connectivity
    • Analytics
  • Market & Technology Trends
  • Opportunities Challenges in Internet of Things
  • Data storage and analysis
    • Managing high rate sensor data
    • Processing data streams
    • Data consistency in an intermittently connected
    • or disconnected environment
    • Identifying outliers and anomalies
  • Lessons from the Internet

    • Is the Internet the right technology to hook together a network of things?
    • The key lessons that our experience with the Internet teaches us about a future of things
    • A focus on network management, security, mobility and longevity
    • The desirable features of a distributed architecture for a system of things
  • Localization

    • Localization algorithms
    • Indoor localization
    • Localization for mobile systems
    • Applications
  • Security in IOT

    • Why is security for IoT so hard?
    • Threat models
    • Defensive strategies and examples
  • Data storage and analysis

    • Managing high rate sensor data
    • Processing data streams
    • Data consistency in an intermittently connected or disconnected environment
    • Identifying outliers and anomalies
  • HCI and IoT World

    • Theory and applications of spoken dialogue for human-computer interaction
    • Combining speech with other modalities for natural interaction
    • Considerations for multilingual interactions
    • Paralinguistic information from speech for enhanced HCI
    • Future challenges for ubiquitous speech interfaces
  • Robotics and Autonomous Vehicles

    • Potential benefits of self-driving vehicles and service robots
    • Sensing and data processing
    • Simultaneous mapping and localization
    • Levels of autonomy
    • Future research challenges
  • Programming Languages

    • C
    • C++
    • Python
  • Embedded Linux

    • Introduction to Linux OS
    • OS Fundamentals
    • Linux Command line/Shell
  • Hardware Platforms

    • Arduino
    • ARM
    • Raspberry PI
  • Communication Interfaces

    • General Purpose I/O(GPIO)
    • Serial Communication Interfaces: RS-232/485
    • Synchronous Peripheral Interfaces: I2C,SPI
    • ADC & DAC Interfaces
  • Real time operating systems for IOT

    • Contiki
    • TinyOS
    • RIOT
    • FreeRTOS etc
  • Introduction to Wireless Sensors Networks

  • Wireless protocols

    • One size does not fit all: why are there dozens of connectivity options?
    • Three key dimensions: application duty cycle and data rate, battery consumption, and communication range
    • Three case studies: low-power design (Bluetooth Low Energy), range extension techniques (data mining and mesh networking), and data-intensive IoT for continuous recognition applications
    • Predictions for the next few years
  • Wired Connectivity

    • Ethernet
    • Serial Communications
  • Wireless Communication Protocols

    • Wi-Fi
    • RF & RFID
    • IPV4 & IPV6
    • 6LOWPAN
    • Zigbee (IEEE 802.15.4)
    • Bluetooth or Bluetooth Low Energy
    • GSM(2G/3G/LTE)
  • Introduction to M2M
  • M2M Applications
  • Role of M2M in IOT
  • IoT Communication Protocols – MQTT,MQTT-SN,CoAP,Restful HTTP,Websockets
  • Remote Monitoring & Controlling of Sensors from Cloud or Web
  • Smart Buildings

    • Emerging descriptive data standards for IoT and sensors
    • Immersive visualization of diverse sensor data using game engines
    • Wearable sensing for IoT featuring new ways to control and interact with your environment
    • Sensors and paradigms for seamless interaction with the built environment
    • Smart tools for IoT
    • Smart, sensate materials
  • Wireless Technologies for Indoor Localization, Smart Homes, and Smart Health

    • Smart health
    • Home automation
    • Location tracking
  • Smart Cities

    • The city as a cyber physical system
    • Principles of cybernetics such as sensing and actuating
    • Collection of information including opportunistic sensing, crowd sensing, and ad hoc sensing
    • Response of the system including analytics and optimization, distributed action, people as intelligent actuators
    • Price of anarchy
    • Hacking the city: the risk for cyber attacks in centralized and distributed systems
    • Smart city equals smart citizens
  • Roadmap of the Internet of Things (IoT)

    • Utilizing sensors to gain greater visibility and real-time situational awareness
    • Ways to act on the information collected, thereby controlling the real world
    • Formulating an architecture that enables a macro picture of systems, an accessible design paradigm, and a set of interfaces which can be standardized
    • A security paradigm, which considers setup, maintenance, and updating
    • Vertical applications that provide a clear business case and a pressing opportunity
    • Emerging technologies to address IoT challenges

Internet of things (IOT) and applications

Course Inquiry

embedded systems design
internet of thinking