IoT & Embedded Software Engineering with Edge AI & Robotics
Master Raspberry Pi, Arduino, Industrial IoT, edge computing, and AI-powered smart systems.
Build production-ready solutions for Industry 4.0, smart cities, and connected devices in Kochi, Kerala.
Duration
4 Months
Hardware Modules
15+
Real Projects
8+
Sensor Types
20+
Program Highlights
Industry-aligned curriculum with cutting-edge technologies
Raspberry Pi & Arduino Mastery
Build real-world IoT solutions using Raspberry Pi 4/5 and Arduino platforms with hands-on sensor integration, GPIO control, and peripheral management.
Industrial IoT & Industry 4.0
Learn digital twin technology, predictive maintenance, and industrial protocols (Modbus, OPC-UA) for smart manufacturing applications.
Edge Computing & IoT Gateways
Deploy edge computing solutions with local data processing, reduced latency, and bandwidth optimization using industry-grade gateways.
Multi-Sensor Integration
Work with 20+ sensor types: environmental, motion, location, gas detection, and industrial-grade sensors with calibration and fusion techniques.
IoT Networks & Protocols
Configure WiFi, Bluetooth, ZigBee, LoRaWAN, NB-IoT, and implement MQTT, CoAP, AMQP, and DDS communication protocols.
Edge AI & Machine Learning
Deploy TensorFlow Lite models on edge devices for real-time anomaly detection, predictive maintenance, and computer vision applications.
What is IoT & Embedded Software Engineering?
IoT (Internet of Things) and Embedded Systems engineering combines hardware and software to create intelligent, connected devices that sense, process, and communicate data. This program covers the complete stack from sensor-level firmware to cloud integration, with emphasis on edge computing and AI-powered decision-making for real-world industrial and smart city applications.
Technologies You'll Master
Comprehensive Syllabus
13 intensive modules covering everything from hardware to AI
Embedded Hardware Platforms
- Raspberry Pi modules: GPIO, sensors, peripheral integration
- Arduino modules and add-ons: shields, sensors, actuators
- Microcontroller vs Microprocessor architectures
- Embedded board selection for real-world applications
Embedded Software Fundamentals
- Embedded Linux: kernel basics, device drivers, real-time patches
- Python for embedded systems: GPIO control, sensor data processing
- Arduino programming: C/C++ syntax, libraries, sketch optimization
- RTOS concepts and firmware development workflows
IoT Systems Architecture
- Smart Cities: traffic management, waste monitoring, public safety
- Smart Buildings: HVAC control, lighting, access management
- Smart Energy: grid optimization, renewable integration, metering
- Smart Transport & Health: fleet tracking, patient monitoring
Industrial IoT & Industry 4.0
- Digital Twin technology and virtual commissioning
- Predictive maintenance with sensor analytics
- Industrial communication protocols: Modbus, OPC-UA, EtherCAT
- Factory automation and smart manufacturing workflows
IoT Gateway & Edge Computing
- Industry-grade IoT gateways: architecture and deployment
- Edge computing: local processing, latency reduction, bandwidth optimization
- Data aggregation and pre-processing at the edge
- Gateway security: secure boot, encryption, firmware updates
IoT Sensors Deep Dive
- Environmental sensors: pollution, smoke, gas, temperature, pressure
- Motion sensors: IR, accelerometers, gyroscopes, IMU fusion
- Location tracking: GPS modules, GNSS, indoor positioning
- Sensor calibration, data fusion, and anomaly detection
IoT Networks & Connectivity
- Short-range: WiFi, Bluetooth, BLE configuration and optimization
- Long-range: ZigBee mesh networks, LoRaWAN setup and coverage planning
- Cellular IoT: NB-IoT, LTE-M for wide-area connectivity
- Network selection criteria: power, range, throughput, cost
IoT Communication Protocols
- HTTP/HTTPS REST APIs for device-cloud integration
- WebSocket for bidirectional real-time communication
- Protocol comparison: overhead, reliability, security
- API design patterns for IoT endpoints
IoT Data Protocols
- MQTT: broker setup, pub-sub patterns, QoS levels, retained messages
- CoAP: constrained environments, observe pattern, block transfers
- AMQP: enterprise messaging, queues, exchanges, routing
- DDS: data-centric middleware, real-time publish-subscribe
Arduino Platform Programming
- Advanced Arduino projects: multi-sensor integration, display modules
- Serial communication: UART, I2C, SPI protocols
- Power management and low-power sleep modes
- Custom library development and code optimization
Raspberry Pi & Edge Programming
- Raspberry Pi as IoT gateway: data aggregation and forwarding
- Edge computing applications: local ML inference, video processing
- Node-RED for visual flow-based IoT programming
- Docker containers on Raspberry Pi for scalable deployments
IoT with AI & Machine Learning
- Edge AI: TensorFlow Lite, optimized models for resource-constrained devices
- Predictive maintenance: anomaly detection from sensor streams
- Computer vision on edge: object detection, classification
- ML model deployment, versioning, and OTA updates
Robotics & Robotic Arms
- Robotic arm kinematics: forward and inverse calculations
- Servo control and trajectory planning
- ROS (Robot Operating System) fundamentals
- Integration with IoT platforms for remote monitoring
What You'll Achieve
Build end-to-end IoT systems from sensors to cloud dashboards
Deploy edge AI models for real-time decision-making on gateways
Design and implement industrial IoT solutions with predictive maintenance
Configure multi-protocol IoT networks (MQTT, CoAP, LoRaWAN)
Frequently Asked Questions
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Ready to Build Smart IoT Solutions?
Get course brochure, batch schedules, fee structure, and hardware kit details on WhatsApp.
Expertzlab, Palarivattom, Kochi, Kerala