ESVA Academy
Courses & internships

Skills that start on the workbench

Six hands-on tracks, from your first blinking LED to deploying AI models on edge hardware. Small batches, real boards, and a project at the end of every course.

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Embedded C & Microcontrollers

  • Duration: 8 weeks
  • Level: Beginner → Intermediate
  • Hardware: Arduino, STM32, ESP32
  • Mode: Classroom + hands-on lab
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The foundation of every embedded career. Learn how microcontrollers really work, from registers to communication protocols, and debug like an engineer.

What you'll learn

  • C for embedded: pointers, bit-masking, structs
  • GPIO, timers and interrupts
  • UART, I2C and SPI protocols
  • ADC, PWM and motor control
  • ARM Cortex-M basics with STM32
  • Debugging with logic analyser & oscilloscope
  • Reading datasheets and schematics
  • Capstone: multi-sensor data logger

IoT with ESP32

  • Duration: 6 weeks
  • Level: Beginner
  • Hardware: ESP32, sensors, relays
  • Mode: Classroom + hands-on lab
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Build connected devices that sense, send and respond. Monitor and control them from a phone or a cloud dashboard.

What you'll learn

  • ESP32 with Arduino IDE & ESP-IDF basics
  • Interfacing sensors and actuators
  • Wi-Fi, BLE and ESP-NOW
  • MQTT, HTTP and REST APIs
  • Dashboards: ThingSpeak, Firebase, Node-RED
  • OTA updates and deep-sleep power saving
  • LoRa for long-range networks
  • Capstone: smart home / smart farm system

Raspberry Pi & Python for Embedded

  • Duration: 6 weeks
  • Level: Beginner → Intermediate
  • Hardware: Raspberry Pi 4/5, camera, sensors
  • Mode: Classroom + hands-on lab
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Use Linux and Python to build smart devices with cameras, displays and web dashboards. This course is the stepping stone to Edge AI.

What you'll learn

  • Linux command line & shell scripting
  • Python for hardware: GPIO, I2C, SPI
  • Pi Camera and image capture
  • Flask web dashboards & REST APIs
  • Databases: SQLite and Firebase
  • Auto-start apps with systemd
  • Pi ↔ ESP32 communication over MQTT
  • Capstone: smart surveillance system

Edge AI & Computer Vision

  • Duration: 8 weeks
  • Level: Intermediate
  • Hardware: Raspberry Pi 5, BeagleBone AI-64, camera
  • Mode: Classroom + hands-on lab
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Train AI models and run them on the device itself, with no cloud needed. Covers the complete pipeline from dataset to a deployed, real-time application.

What you'll learn

  • Python, NumPy and OpenCV fundamentals
  • Machine learning basics with scikit-learn
  • CNNs and transfer learning
  • Custom dataset collection & labelling
  • YOLO object detection training
  • MediaPipe: face, hands and pose
  • TFLite / ONNX optimisation & AI accelerators
  • Capstone: real-time vision application

TinyML on Microcontrollers

  • Duration: 4 weeks
  • Level: Intermediate
  • Hardware: ESP32-S3, IMU, I2S microphone
  • Mode: Classroom + hands-on lab
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Fit machine learning into a few hundred kilobytes. Build low-power devices that hear, feel and detect anomalies on their own.

What you'll learn

  • Sensor data collection pipelines
  • Edge Impulse end-to-end workflow
  • Keyword spotting (voice commands)
  • IMU gesture recognition
  • Anomaly detection for machines
  • Quantisation and TFLite Micro deployment

Embedded Linux with BeagleBone

  • Duration: 6 weeks
  • Level: Advanced
  • Hardware: BeagleBone Black / AI-64
  • Mode: Classroom + hands-on lab
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An industry-oriented course on how real products run Linux: boot process, device trees, drivers and real-time control.

What you'll learn

  • Linux boot process & U-Boot
  • Cross-compilation toolchains
  • Device tree & device tree overlays
  • Intro to kernel modules & drivers
  • PRU real-time programming
  • Buildroot / Yocto introduction
  • Industrial protocols: Modbus, CAN
  • Capstone: industrial monitoring node

Fees vary by course and batch. Contact us for current fees and start dates.

Internships

Industry-style internships with a live project

Every internship includes daily mentoring, a real hardware project, a final presentation and a completion certificate for your college.

2-Week Starter Internship

1st / 2nd yearArduino · ESP32

Electronics basics, microcontroller programming and a mini IoT project. Perfect for your first internship.

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4-Week Embedded + IoT Internship

2nd / 3rd yearESP32 · Raspberry Pi

Sensor interfacing, protocols, cloud dashboards and a complete IoT system built and demonstrated by you.

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6 to 8-Week AI + Embedded Internship

3rd / final yearRaspberry Pi · BeagleBone

Train and deploy an AI model on edge hardware. Includes a project report suitable for academic submission.

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For school students

Young Innovators Robotics Club

Weekend classes for students in classes 6–12. They build robots, learn coding and discover how AI works, all through fun, hands-on projects.

  • Build & take homeLine followers, obstacle avoiders, smart dustbins and more.
  • Coding from scratchBlock coding to Python, at the right pace for each age group.
  • Science fair readyGuidance for school exhibitions and competitions.
Enquire for your child
Final-year students

Need project support instead?

Browse 50 AI + embedded project titles with hardware, code, report, PPT and viva preparation, or bring your own idea.

View projects