Intelligent Climate Monitoring & IoT Systems Masterclass Trainer
Organizational Context
The Istanbul International Center for Private Sector in Development (IICPSD) is a UNDP Global Policy Centre established in partnership with Turkey. It focuses on research, advocacy, and partnerships to engage the private sector and foundations in development. The Center's thematic areas include Inclusive Business, Skills Development, Impact Investing, and Resilience. It also hosts several global initiatives aimed at fostering sustainable development through private sector collaboration.
Job Purpose
This role involves delivering an 8-week online masterclass on Intelligent Climate Monitoring & IoT Systems, preparing participants for professional certification exams. The masterclass builds upon prior AI Bootcamp and workshop components. The trainer will develop comprehensive lecture materials, conduct live online sessions, and provide practical demonstrations using sensors and embedded platforms. The objective is to equip Future Tech Leaders in Syria with the necessary knowledge and skills in IoT and climate monitoring to achieve certification and advance their careers in technology.
Responsibilities
The Online Volunteer will develop and deliver an 8-week masterclass on Intelligent Climate Monitoring & IoT Systems for the Future Tech Leaders Syria program. This includes creating 8 slide decks with accompanying exercises, aligned with IoT certification exam topics. The volunteer will conduct weekly live online lectures covering specific areas such as climate monitoring systems, environmental sensors, embedded platforms (ESP32, Raspberry Pi), IoT cloud platforms, AI for anomaly detection, and edge AI. Practical demonstrations using Python, sensors, and embedded systems will be incorporated. A practice exam will be prepared and reviewed with participants. The volunteer will also answer participant questions during sessions and provide brief documentation on materials and progress.
Work Experience
Required experience includes hands-on expertise in building end-to-end IoT systems, covering sensors, embedded platforms, data collection, and visualization. Experience applying AI/machine learning to sensor or time-series data (e.g., anomaly detection, forecasting) is essential. Strong Python skills and familiarity with IoT communication protocols and data pipelines are necessary. Previous teaching or training experience is also required. A relevant professional IoT certification is advantageous.
Skills
Expertise in Intelligent Climate Monitoring and IoT Systems is crucial. Proficiency in developing training materials and delivering online lectures is expected. Technical skills include Python programming, working with embedded platforms (ESP32, Raspberry Pi), IoT communication protocols, and data pipelines. Experience with AI/machine learning for data analysis, anomaly detection, and forecasting is important. Strong communication and presentation skills are necessary. Knowledge in climate change, environment, education, and information technology is relevant.