Program overview
Engineering skills that connect end to end
Progress from rigorous electronics and power management to real-time embedded systems, industrial actuators, connected IoT, computer vision and AI-assisted robotics. This is the most comprehensive pathway, designed around system-level engineering and a final intelligent robotics capstone.
Complete curriculum
A clear path from fundamentals to Edge AI
Each stage builds on the previous one, combining concepts with practical engineering work.
Core Electronics & Power Management
Engineer dependable circuits, regulated supplies and protection systems.
Topics
- Ohm's law, KVL/KCL and voltage/current dividers
- Diodes, BJTs, MOSFETs, optocouplers and discrete logic
- AC-to-DC conversion and linear regulation
- Buck/boost converters and power-efficiency calculations
- Reverse-polarity, overcurrent and transient protection
Practical projects
- Protected regulated power supply
- Discrete logic and memory board
- Buck/boost efficiency test platform
Microcontrollers & Embedded Systems
Move beyond basic sketches into real-time embedded architecture.
Topics
- Timers, interrupts, DMA and watchdog timers
- ATmega, ESP32, STM32 and Arduino R4 ecosystems
- Embedded C/C++ and UART, USART and I2C
- FreeRTOS tasks, priorities, mutexes, semaphores and queues
- Concurrency risks and event-group coordination
Practical projects
- Interrupt-driven controller
- Multi-device communication bus
- FreeRTOS multi-tasking robot controller
Actuators, Drivers & Power Packs
Design high-current movement systems and their energy source.
Topics
- DC, BO, servo, NEMA stepper, BLDC and industrial motors
- H-bridges and L298N, L293D, BTS7960 and DRV8825 drivers
- Electronic speed controllers and servo testing
- Li-ion, LiPo and lead-acid pack engineering
- BMS selection, charging and safety
Practical projects
- High-current motor-control platform
- Stepper positioning system
- Protected custom battery pack
Wireless Protocols, IoT & Displays
Build secure, observable and remotely controlled robotic systems.
Topics
- LCD, OLED, dot-matrix and TFT interfaces
- Encoders, joystick, keypad and touch input
- IR, Bluetooth, Wi-Fi, WebSocket and MQTT
- HC-12, LoRa and NRF24 communication
- HTTP, CoAP, encrypted wireless and RFID
Practical projects
- Multi-protocol robot controller
- Secure RFID access system
- Live IoT telemetry dashboard
Sensors, Edge AI & Vision
Combine perception, filtering and AI for autonomous decisions.
Topics
- Environmental and motion sensor integration
- IMUs, complementary filters and Kalman filters
- Raspberry Pi and Linux robotics
- OpenCV and camera-processing pipelines
- Python, MediaPipe, object detection and vision-language models
Practical projects
- Sensor-fusion navigation system
- Vision-based object tracker
- Voice or text controlled autonomous AI robot capstone
Flexible fee options
Choose a payment schedule that works for you
The listed amount is the total payable under each schedule. Installment dates are confirmed with the course advisor before admission.
Pay in full
Single payment
₹1,10,400
₹1,10,400 per payment
Best-value single payment.
Two-part payment
2 payments
₹1,10,400
₹55,200 per payment
Same total fee, split into two scheduled payments.
Three-part payment
3 payments
₹1,20,000
₹40,000 per payment
Three equal scheduled payments.
Monthly plan
12 payments
₹1,20,000
₹10,000 per payment
Twelve monthly payments.
What you will be able to do
Graduate with practical, demonstrable capability
- Engineer protected power and control circuits for demanding robotics applications.
- Develop embedded systems using interrupts, communication buses and RTOS concepts.
- Integrate industrial motors, drivers, batteries and wireless protocols.
- Apply sensor fusion, Raspberry Pi, OpenCV and AI to autonomous systems.
- Design and demonstrate a complete intelligent robotics capstone.
Course FAQ
Advanced Robotech Programme questions
Clear answers about the learning format, curriculum, projects and admission options.