Crash Courses in Robotics & IoT

Crash Courses in Robotics & IoT

Courses for trainee professionals: intensive hands-on training in robotics and IoT. Ideal for upskilling and career advancement.

Duration: 6 months

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Crash Course in Robotics & IoT (6 Modules)

MODULE 1: Robotics & IoT Foundations (4 Sessions)

🔹 Topics:
  • What is Robotics? What is IoT? Real-world use cases.
  • Robotics vs IoT – how they work together.
  • Arduino UNO basics & IDE setup.
  • Electronics fundamentals (breadboard, LEDs, resistors, Ohm’s Law).
🔧 Quick Tasks:
  • Blink LED
  • Traffic Light Pattern
🎯 Outcome:

Students understand the basics of Robotics, IoT, and Arduino setup.

MODULE 2: Arduino with Sensors (5 Sessions)

🔹 Topics:
  • Analog vs Digital pins, Serial Monitor.
  • Sensors: Push Button, LDR, Ultrasonic, PIR, DHT11.
  • Processing inputs for automation.
🔧 Quick Tasks:
  • Auto Night Lamp (LDR)
  • Ultrasonic Distance Meter
  • Digital Thermometer (DHT11 + LCD)
🎯 Outcome:

Students interface multiple sensors and use Arduino for real-time data collection.

MODULE 3: Actuators & Robot Control (5 Sessions)

🔹 Topics:
  • Actuators: DC Motors, Servos, Buzzers, Relays.
  • Motor Driver (L298N) basics.
  • Robot chassis, wheels & motion control.
  • Bluetooth module (HC-05) & smartphone control.
🔧 Quick Tasks:
  • Servo Sweep
  • Smart Fan (DHT11 + Motor)
  • Bluetooth-controlled Robot
🎯 Outcome:

Students learn how to drive actuators and build basic robots.

MODULE 4: IoT with ESP8266/NodeMCU (5 Sessions)

🔹 Topics:
  • Wi-Fi setup & IoT protocols (HTTP/MQTT basics).
  • Sending sensor data to cloud platforms (ThingSpeak/Blynk).
  • Remote monitoring & control via mobile apps.
🔧 Quick Tasks:
  • IoT Weather Station (DHT11 + NodeMCU)
  • Remote Fan/Light Control via Smartphone
🎯 Outcome:

Students connect Arduino projects to the internet and control devices remotely.

MODULE 5: Raspberry Pi for IoT (5 Sessions)

🔹 Topics:
  • Raspberry Pi overview (OS install, Python basics).
  • GPIO pin control with Python (GPIOZero).
  • Sensor interfacing: DHT11, PIR, Ultrasonic.
  • Remote access (SSH, VNC).
🔧 Quick Tasks:
  • Blink LED with Raspberry Pi
  • Motion Alarm with PIR
  • Temperature Logger with Python
🎯 Outcome:

Students learn IoT programming with Python on Raspberry Pi.

MODULE 6: Advanced IoT & Capstone Project (6 Sessions)

🔹 Topics:
  • IoT Cloud Integration (Adafruit IO, Firebase, ThingsBoard).
  • Raspberry Pi Camera module basics (live video streaming).
  • IoT Security & Privacy essentials.
  • Final Project Design Cycle (ideation → wiring → coding → testing → presentation).
🧪 Capstone Project Examples:
  • Smart Dustbin with IoT alerts.
  • IoT-based Smart Irrigation.
  • Fire Detection & Notification System.
  • Voice-controlled Home Automation.
🎯 Outcome:

Students complete a real-world IoT project combining Arduino, NodeMCU, and Raspberry Pi.

✅ So your Crash Course (6 Modules) roadmap is:
  • Robotics & IoT Foundations
  • Arduino with Sensors
  • Actuators & Robot Control
  • IoT with NodeMCU
  • IoT with Raspberry Pi
  • Advanced IoT + Capstone Project