Internet of Things (IoT) Internships

In depth understanding of IoT Hardware &systems, architectures, components and supporting technologies, and Communication protocols. End to End IOT Eco-system.



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What you'll learn?

  • Architecting end to end IoT system.
  • Understand customer requirements into technical specifications and Developing proof of concepts and prototypes
  • Knowledge and skills of sensors, microcontrollers, Single Board Computers (SBCs) – Raspberry Pi as prototyping platform and communication interfaces (WiFi/Bluetooth) to design and build IoT devices.


  • Knowledge and skills to design and build network based on client-server and publish-subscribe to connect, collect data, monitor and manage assets.
  • Knowledge and skills to select APIs, application layer protocols and web services architectures for integration of various components (Device, Network & Cloud) of an IoT ecosystem.
  • Understanding of deploying various types of analytics/Machine learning on sensor data to define context, find faults, ensure quality, and extract actionable insights


Curated Exclusively For Engineering Students


  • Engineering students from 1st year through the final year of branches ECE,CSE, EEE,ISE  
  • Knowledgeable with basic C programming, Python
  • Hands-on experience in basic electronics.


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Our IoT internship program is designed to provide engineering students with a practical and immersive experience in the field of the Internet of Things (IoT). During this internship, students will have the opportunity to work on real-world IoT projects, gaining hands-on experience in IoT device development, sensor integration, data analysis, and cloud-based solutions. They will be mentored by experts in the field and have access to cutting-edge IoT technologies. This internship is the ideal platform for students to bridge the gap between theory and practical application, preparing them for a successful career in the rapidly growing IoT industry.

This program not only equips students with valuable experience but also encourages them to innovate in a rapidly evolving field, preparing them for a promising career in IoT and connected technologies.

Detailed Curriculum: Modules

  • Theories & Definitions –Identification, localization, wireless protocols, data storage and security

  • Collecting, communicating, coordinating, and leveraging the data from connected devices;

    ✓ Embedded systems, Networks, Internet of everything,

    M2M Machine to Machine communication).

  • Understand how to develop and implement IoT technologies, solutions, and applications. Artificial Intelligence, Automation using IOT.

  • Evolution of IIoT & Industry 4.0

  • IoT Implementation, Market statistics, future of IOT

  • Business opportunities: Product, services, Applications and case studies IoT Architecture.

  • IoT Network Architecture

  • IoT Device Architecture

  • IoT Application Architecture

  • Client Server vs Publish Subscribe Architecture

  • Sensors – Classification & selection criteria based on nature, frequency and amplitude of signal

  • Embedded Development Boards– Arduino, Raspberry Pi, Intel Galileo, ESP8266,

  • Interfacing peripherals & Programming GPIOs – Input/output peripherals, Sensor modules

  • Design Considerations– Cost, Performance & Power Consumption trade-offs.

  • IoT Network Architecture

  • Raspberry Pi 3, Arduino Mega, ESP8266 NodeMcu, Wi-fi/Bluetooth modules

  • Sensors: Temperature sensor(LM35), IR, Humidity, RFID, Ultrsonic etc

  • Breadboard, LEDs Resistors , Connecting wires

  • Wired Communication Protocols- UART, USART

  • Wireless Communication Protocols- Bluetooth and BLE, Zigbee, 6lowPAN, WiFi. Celluar, comparision RF Technologies. Low PAN - Low Power

  • Personal Area Networks, Google Thread, Wi -SUN

  • Networking Protocols- OSI Reference Model, TCP/IP, Ethernet

  • IOT Application Protocols – HTTP, Web sockets, MQTT, CoAP

  • IOT Application Layer Protocols

  • RESTful HTTP, Rest Architecture, HTTP Request Methods

  • CoAP, CoAP Architecture, CoAP Features, CoAP Applications

  • H/W practical

  • MQTT

  • H/W practical

  • Assembly

  • C/C++ 5.3

  • Python - 5.4

  • Micropython

  • LUA

  • IaaS, SaaS, PaaS modelsIaaS, SaaS, PaaS modelsIaaS, SaaS, PaaS modelsIaaS, SaaS, PaaS models

  • Cloud components and services

  • Device Management, Databases, Visualization, Reporting, Notification/Alarm management, Security management, Cloud resource monitoring and management

  • Example platforms: ThingSpeak, Pubnub, AWS IoT

  • AWS IoT Services

  • Device Registry

  • Authentication and Authorization

  • Device Gateway

  • Rules Engine

  • Device Shadow

  • Case studies

  • Descriptive, Diagnostic, Predictive, and Prescriptive

  • Analytics using Python: NumPy, SciPy, Matplotlib, Pandas and Sci-kit learn

  • Microcontrollers programming (Arduino, Raspberry Pi, NodeMCU). Interfacing Analog and Digital sensors with microcontroller to learn real-time data acquisition, storage and analysis.

  • Building HTTP and MQTT based M2M networks.

  • Interfacing SD card with microcontroller for data logging on IoT end devices using SPI protocol and Realtime clock for time and date using I2C protocol. 4. Python programming exercises on Raspberry Pi as a Hardware.

  • GPIO programming using Python and remote monitoring/control and uploading the data to cloud platforms.

  • Monitoring and controlling devices using android user apps and Bluetooth interfaces.

  • Building wireless sensor networks using WiFi.

  •  Sensor data uploading on cloud using GSM/GPRS.

  • Device to device communication using LoRa modules.

  • Remote controlling machines using cloud based apps.

  • Remote controlling machines using device based apps through cloud as an intermediate node.

  • Interfacing Raspberry Pi with AWS IoT Gateway service.

  •  Interfacing Raspberry Pi with PUBNUB cloud and MQTT protocol.

Tools Covered

python (2)
scipy (1)


I completed my full stack developer internship from CITL vijaynagar For 1 month during which i have got good programing knowledge on python, django and web development. Good infrastructure with equipped lab facility skilled & well experienced trainers




I have completed my full python programing internship from CITL vijaynagar For 1 month during which i have got good programing knowledge on python, django and web development. Good infrastructure with equipped lab facility skilled & well experienced trainers


Bhuvan kumar R


I have completed my python machine learning internship from citl vijaynagar for month during which i have got good programming knowledge on a concepts, I worked on 2 projects hand-on. As we gave project presentation we have improved our presentation & also communications skills and fr. are very helpful and friendly. Good Infrastructure with equipped lab facility skilled & well experienced trainers





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