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Physitech Group
IoT

Internet of Things (IoT) Workshop with Arduino Uno and Raspberry Pi

Offered by Physitech Group

Internet of Things (IoT) Workshop with Arduino Uno and Raspberry Pi

A three-day hands-on IoT workshop covering sensors, wireless connectivity and cloud dashboards, built on Arduino Uno and Raspberry Pi.

The Internet of Things connects the real, digital and virtual worlds, creating smart environments that improve energy use, transportation, cities and many other sectors. In an IoT system, sensor data such as temperature, motion or acceleration is shown on a graphical interface, web server or mobile application, allowing wireless control of connected devices over the internet.

In this workshop students build working models with Arduino Uno and Raspberry Pi, and finish with a project of their own.

What participants learn

  • Work with controllers and different sensors
  • Use Arduino Uno and Raspberry Pi
  • Interface LEDs, switches and an LCD
  • Connect ESP8266 over Wi-Fi to a cloud dashboard
  • Interface analog sensors such as an LDR through an ADC
  • Interface digital sensors such as DHT11, MQ2 gas, soil moisture and IR sensors
  • Switch loads using a relay

Workshop benefits

  • Build a working model with Arduino or Raspberry Pi featuring an LCD, relay, ESP8266, DHT11 and more
  • Insights into current job opportunities in the embedded industry
  • Understanding of IoT trends and the industry landscape
  • Knowledge of various sensors and their applications
  • Practical experience in design, construction, programming and interaction with industry experts

Curriculum

IoT Fundamentals

  • Introduction to IoT
  • IoT architecture
  • IoT devices and sensors
  • Communication protocols (MQTT, HTTP)
  • IoT security considerations

IoT and Machine Learning

  • Hands-on session: IoT with ML
  • ML model deployment on IoT devices
  • Case studies of IoT-ML applications

Cloud Integration with IoT

  • Connecting IoT devices to the cloud
  • Data ingestion and processing on the cloud
  • Cloud-based IoT visualization

Industry Applications and Use Cases

  • Smart cities and infrastructure
  • Industrial automation and control
  • Healthcare and wearables
  • Transportation and logistics
  • Home automation and consumer electronics

Hands-on Sessions

  • Building IoT projects with Raspberry Pi and Arduino
  • Implementing ML models on IoT devices
  • Cloud-based IoT project development with the PCS Smart IoT Dashboard

Schedule

DayTimeActivity
Day 1 10:00 AM to 10:30 AM Inaugural session
Day 1 10:30 AM to 1:30 PM Theory session
Day 1 2:30 PM to 4:00 PM Lab theory session
Day 2 10:00 AM to 1:30 PM Lab practical session
Day 2 2:30 PM to 4:00 PM Lab practical session
Day 3 10:00 AM to 3:00 PM Project execution (self learning)
Day 3 3:00 PM to 4:00 PM Valedictory session

What's included

  • Certificate for every participant

What the institution provides

  • A hall for all participants, equipped with an LCD projector and a PC with internet access
  • Lab space with adequate workbenches for hands-on sessions

Gallery

Students working together on an IoT trainer kit connected to a laptop
A trainer helping students wire an IoT trainer kit
Close-up of an IoT trainer kit being used with a laptop and a phone
A student programming an IoT trainer kit at a computer
Students working in pairs on an IoT trainer kit in a lab
A trainer guiding students at a computer during a hands-on lab session
Students gathered around laptops and trainer boards during an IoT session
Students building and testing an IoT circuit connected to a laptop

Upcoming sessions

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