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Target Audience

: Intermediate learners or those who completed the 3-month course.

Objective

Master advanced home automation concepts, including AI, IoT, and integration with smart home ecosystems.

What You'll Learn

480 hours of comprehensive training
20 hours per week
Hands-on practical experience
Industry-relevant curriculum
Expert instructors
  • Advanced Programming for Automation (18 hours)
    • Developing custom automation scripts using Python and JavaScript.
    • Real-time processing and event-driven programming.
  • Advanced IoT Integration (12 hours)
    • Using IoT platforms (e.g., Home Assistant, OpenHAB) for complex systems.
    • Implementing IoT gateways for device communication.
  • Lab: Building a custom IoT-based automation system (20 hours).
  • Energy Management Systems (10 hours)
    • Smart energy monitoring and optimization.
    • Integration with renewable energy sources (e.g., solar panels).
  • AI for Smart Homes (15 hours)
    • Machine learning for predictive automation (e.g., occupancy-based lighting).
    • Natural language processing for advanced voice control.
  • Computer Vision for Automation (15 hours)
    • Using OpenCV for home security (e.g., facial recognition).
    • Motion detection and activity monitoring.
  • Lab: Implementing AI-driven automation (e.g., smart thermostat with predictive control) (20 hours).
  • Cloud and Edge Computing (10 hours)
    • Edge computing for low-latency automation.
    • Cloud-based analytics for smart home data.
  • Smart Home Ecosystems (15 hours)
    • Advanced integration with ecosystems (e.g., Apple HomeKit, SmartThings).
    • Designing scalable smart home architectures.
  • Home Automation Security (12 hours)
    • Advanced cybersecurity (e.g., intrusion detection, secure APIs).
    • Privacy considerations in smart homes.
  • Lab: Designing a secure, scalable smart home system (23 hours).
  • Advanced System Design (15 hours)
    • Designing smart homes for specific use cases (e.g., elderly care, luxury homes).
    • Integration with building management systems (BMS).
  • Project Management and Standards (10 hours)
    • Lifecycle management and cost estimation for smart home projects.
    • Compliance with standards (e.g., Matter, Thread protocols).
  • Lab: Designing a comprehensive smart home system (25 hours).
  • Capstone Project: End-to-end smart home system with AI, IoT, and multi-protocol integration (20 hours).
  • Industry Case Studies and Certification Prep (10 hours)
    • Analysis of real-world smart home projects (e.g., smart apartments, eco-friendly homes).
    • Preparation for certifications (e.g., CEDIA Smart Home Technician, IoT certifications).

Prerequisites

Basic electronics or programming knowledge for the 1-month course; completion of prior modules or equivalent for 3-month and 6-month courses.

Tools & Software

Arduino IDE
Home Assistant
Node-RED
OpenCV
MQTT brokers
Raspberry Pi
ESP32.

Delivery Mode

Combination of lectures, hands-on labs, and project work.

Assessment

Weekly quizzes, lab assignments, and capstone projects.

Certification

Certificate of completion for each module; preparation for industry-recognized certifications in the 6-month course.

  • Duration 480 hours
  • Weekly 20 hours
  • Level All Levels

Available Curricula

Introduction to Home Automation - 1-month

Duration: 1-month

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Intermediate Home Automation - 3 Month

Duration: 3-month

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Advanced Home Automation - 6 month

Duration: 6-month

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Course Highlights

  • Expert instructors with industry experience
  • Hands-on projects and real-world applications
  • Flexible learning schedule
  • Placement assistance