Job-Guaranteed Program: Embedded Intelligent Systems Specialist Course at BICARD

BICARD introduces its flagship Job-Guaranteed Embedded Intelligent Systems Specialist Program, designed to bridge the gap between Embedded Systems, AI, and IoT. This intensive 4–5 month training (300 hours) combines theory, practical sessions, and real-world projects to prepare students for high-demand careers in embedded technology and intelligent systems.

Course Duration & Eligibility

  • Duration: 4–5 months (300 hours: 140 theory + 160 practical)
  • Eligibility:
    • Graduates in ECE, EEE, CSE
    • Diploma holders in Electronics
    • Working professionals seeking skill upgrades

No prior deep knowledge of AI is required, but familiarity with C programming and microcontrollers will be an added advantage.

Job Opportunities After Completion

BICARD ensures 100% job placement assistance through its employer network. Upon successful completion, participants can apply for roles such as:

  • Embedded Systems Engineer
  • Firmware Developer
  • IoT Engineer
  • Edge-AI Specialist

Course Syllabus (Structured Modules)

Module 1: Foundations of Embedded Systems (60 hrs)

  • Embedded C & C++ refresher
  • Microcontrollers (ARM Cortex, STM32, PIC overview)
  • Memory, interrupts, timers, GPIO programming
  • Peripheral interfacing: UART, SPI, I2C

Module 2: RTOS & Firmware Development (50 hrs)

  • Multitasking, scheduling, synchronization
  • FreeRTOS hands-on: tasks, queues, semaphores, ISR handling
  • Bootloaders, device drivers (GPIO, ADC/DAC, PWM, CAN)
  • Debugging with GDB, JTAG

Module 3: IoT & Connectivity (50 hrs)

  • Sensor integration & data acquisition
  • Wireless protocols: BLE, WiFi, Zigbee, LoRa
  • IoT Cloud platforms: AWS IoT Core, Azure IoT Hub, ThingsBoard
  • Edge device deployment & monitoring

Module 4: Embedded AI & Edge Computing (70 hrs)

  • TinyML and Edge AI fundamentals
  • Model compression: quantization, pruning
  • Running ML models on MCUs (TensorFlow Lite for Microcontrollers)
  • Case studies: predictive maintenance, voice recognition, defect detection

Module 5: Security & Industry Practices (30 hrs)

  • Secure coding & OTA updates
  • Functional safety (ISO 26262, IEC 61508)
  • Version control & CI/CD for embedded projects

Module 6: Capstone Project + Placement Prep (40 hrs)

  • Industry projects (Smart Energy Meter, AI-enabled sensor node, Automotive CAN-based ECU simulation)
  • Resume building & mock interviews
  • Direct employer connect & placement drive

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