REAL TIME EMBEDDED SYSTEMS & IOT

Step into the innovative world of Real-Time Embedded Systems and Internet of Things (IoT) with our immersive internship program! Gain hands-on experience in microcontroller programming, sensor interfacing, and real-time data processing while building real-world smart applications. Work alongside embedded tech experts, explore advanced protocols like UART, SPI, I2C, MQTT, and master integration with cloud platforms. Whether you're passionate about embedded automation or IoT product development, this internship will launch your journey into the future of intelligent connectivity!

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Apply for Internship

Contact us and Submit your application and get started by providing the necessary documents.

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Review & Selection

Our team will review your application and shortlist candidates based on skills and eligibility.

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Training Sessions

Attend hands-on training sessions in AI, Machine Learning, and Data Science to gain practical knowledge.

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Live Projects

Work on real-world projects that solve critical industry problems, experiment with the code and sharpen your skills.

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Completion & Certification

Receive your certification, showcasing your proficiency in AI and Data Science to potential employers.

Course Outcomes

Real Time Embedded System and IoT Course Outcomes
Master embedded C programming and real-time operating systems (RTOS) for microcontroller applications.
Design and implement IoT architectures using Arduino, Raspberry Pi, and ESP32 development platforms.
Integrate various sensors and actuators for data acquisition and control in embedded systems.
Develop wireless communication protocols including WiFi, Bluetooth, LoRaWAN, and cellular connectivity.
Build cloud-connected IoT solutions using AWS IoT, Azure IoT Hub, and Google Cloud IoT platforms.
Implement real-time data processing, edge computing, and machine learning on embedded devices.
Apply security protocols and encryption techniques for secure IoT device communication and data protection.
Create industrial IoT applications for smart manufacturing, home automation, and environmental monitoring systems.
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PREREQUISITE

  • Basic understanding of Python programming.
  • Familiarity with data analysis tools (Pandas, NumPy).
  • Interest in learning Machine Learning and AI concepts.
  • Ability to work with simple data visualization tools (Matplotlib or Seaborn).
  • Willingness to solve real-world problems using AI techniques.

PREREQUISITE

  • Basic understanding of Python programming.
  • Familiarity with data analysis tools (Pandas, NumPy).
  • Interest in learning Machine Learning and AI concepts.
  • Ability to work with simple data visualization tools (Matplotlib or Seaborn).
  • Willingness to solve real-world problems using AI techniques.

Program Modules

"Foundation in Embedded Systems: From Microcontrollers to Real-Time Control"
01

Introduction to Embedded Systems

Overview of embedded systems, architecture, and real-time constraints

02

Microcontroller Programming

Programming in Embedded C, GPIO, timers, and peripheral interfacing

03

Real-Time Operating Systems (RTOS)

Tasks, scheduling, semaphores, and multitasking using FreeRTOS

04

Embedded Communication Protocols

UART, SPI, I2C, CAN – communication between embedded devices

"Internet of Things: Building Connected Systems"
05

IoT Fundamentals

Basics of IoT, architecture, sensors, and actuators

06

Networking and Connectivity

Wi-Fi, Bluetooth, Zigbee, and LoRa for IoT device communication

07

IoT Protocols

MQTT, HTTP, CoAP protocols for cloud-device communication

08

Cloud Integration

Connecting IoT devices to AWS, Azure, or open-source platforms

"Project Development and Deployment: Applying Embedded IoT Skills"
09

IoT Data Processing

Edge vs cloud processing, real-time analytics, and data visualization

10

Security in Embedded & IoT Systems

Encryption, authentication, and securing IoT endpoints

11

Capstone Project

Design and build a real-time IoT embedded solution from scratch

12

Placement Preparation

Resume building, interview practice, and industry-readiness training

Career Opportunities

Career Opportunities in Machine Learning

Open doors to a rewarding career in Embedded Systems & IoT:

  • Embedded Systems Engineer
  • IoT Developer
  • Firmware Developer
  • Hardware Design Engineer
  • Systems Integration Engineer
  • Embedded Software Developer
  • Automation & Control Engineer
  • Wireless Communication Engineer

Top Recruiters

Our interns have opportunities to work with leading tech companies and research institutions in the AI and Data Science field, gaining sound knowledge and valuable industry experience & connections
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