AI + IoT Smart Systems

25 Jan 2026, 09:24 PM • 341, byrappa complex ,SMV Layout, 9th Block, Mallathahalli, Bengaluru, Karnataka 560056

Type: Workshop

AI + IoT Smart Systems
AI + IoT Smart Systems Program

AI + IoT Smart Systems Program

From Connected Devices to Intelligent Automation

Duration: 4 Months   |   Mode: Hands-on • Project-Based • Industry-Oriented

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Program Overview

The AI + IoT Smart Systems Program is designed to help students build real-world intelligent systems by combining Internet of Things (IoT) hardware with Artificial Intelligence. Instead of focusing only on theory, this program emphasizes practical learning through real sensors, real data, and real applications. Students begin by working with microcontrollers and sensors, gradually move into automation and monitoring, and finally integrate AI to enable smart, data-driven decision-making.

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How You Will Learn

  • Learn concepts by immediately applying them on real hardware
  • Build circuits, read sensor data, and control devices step by step
  • Move from simple automation to intelligent, AI-based systems
  • Develop confidence through mini-projects and a final capstone project
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Week-by-Week Syllabus

Week Topics Covered
1
  • Introduction to IoT and real-world applications
  • ESP32 overview, pin configuration, and setup
2
  • GPIO programming using LEDs, resistors, and switches
  • Basic automation logic
3
  • LDR and soil moisture sensor interfacing
  • Smart light and soil monitoring system
4
  • Ultrasonic sensor and distance measurement
  • Servo motor control
5
  • LCD / OLED display interfacing
  • Real-time sensor data visualization
6
  • MQ135 air quality and gas sensing
  • Environmental monitoring system
7
  • Heart-rate sensor fundamentals
  • Health monitoring application
8
  • Motors, relays, and small fan control
  • Smart home automation system
9
  • Python basics for IoT data handling
  • Sensor data collection and storage
10
  • Introduction to AI and ML concepts
  • Rule-based vs intelligent systems
11
  • AI-based prediction using sensor data
  • Smart irrigation and alert systems
12
  • Introduction to deep learning concepts
  • Intelligent decision-making systems
13
  • End-to-end system integration
  • Reliability and error handling
14
  • Monitoring dashboards and alerts
  • System performance analysis
15
  • Capstone project development
  • Testing and optimization
16
  • Final project demonstration
  • Project explanation and review
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Projects Students Will Build

Level Project Description
Beginner Smart light automation using LDR and ESP32
Intermediate Soil moisture–based smart irrigation system
Intermediate Air quality monitoring and alert system
Advanced Smart home automation with sensors and relays
Capstone AI-powered IoT intelligent system integrating sensors, automation, and prediction
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Why This Program Is Useful for the Future

AI and IoT are at the core of modern industries such as smart cities, healthcare, agriculture, manufacturing, automation, and Industry 4.0. This program equips students with future-ready skills by teaching them how to design systems that sense, analyze, decide, and act intelligently.

By completing this program, students gain strong exposure to embedded systems, data-driven automation, and AI integration—making them well-prepared for final-year projects, internships, startups, and career roles in IoT engineering, automation, AI systems, and smart technology development.

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