Internet of Things (IoT) Internships in Bangalore For Engineering Students

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

Internship includes

10+ Case Studies: Gain real-world insights and solutions.
10 Mini Projects: Showcase your skills with hands-on experience.
Sample Internship Report: Learn from a comprehensive example.
Hands-on Experience: Apply your knowledge in real-world scenarios.
Portfolio Building: Create a strong showcase for potential employers.
Personalized Support: Get expert guidance throughout your training.

Description

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.

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.

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

T.HARIPRASATH

Student

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

Student

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