Lecture 1: IoT for Environmental Monitoring 

(Duration: 15 minutes)

1.  Introduction to IoT and Environmental Monitoring.

2.  Challenges in IoT for Sustainability.

3.  Preview of the hands-on session.

Hands-on Session: Guided session on Building an IoT-based Environmental Monitoring System 

(Duration: 60 minutes)

1.  Introduction to hardware components (Sensors, microcontrollers, connectors…), and installation of the necessary software.

2.  Assembling the Air quality IoT Sensor node.

3.  Data exchange (from IoT nodes to gateways), data reading, and visualization.

4.  Final Discussion & Takeaways.

Lecture 2: Integrating AI for Smarter Environmental Insights

(Duration: 45 minutes)

1.  Brief Introduction to Artificial Intelligence and the different techniques that can be integrated with IoT (ML, DL, Edge AI…)

2.  Processing IoT Data for ML

3.  Applying Machine Learning to Environmental Data

4.  Wrap-up & Discussion

5.  Summary of AI’s role in IoT.

6.  Reviewing what was learned.

7.  Q&A and ideas for future projects