Intelligent Climate Monitoring & IoT Systems Masterclass Trainer

Mission and objectives

Istanbul International Center for Private Sector in Development (IICPSD) supports the private sector and foundations to become transformative partners in development through research, advocacy for inclusive business, facilitation of public-private dialogue and brokering partnerships. IICPSD, established in 2011 in partnership with the Government of Turkey, is one of UNDP's six Global Policy Centres. It leads UNDP’s global work on private sector and foundations and supports UNDP’s offices all over the world. The Center focuses on four thematic areas: 1. Inclusive Business; 2. Private Sector Engagement in Skills Development; 3. Impact investing; 4. Resilience and Crisis Response. The Center also hosts four global initiatives: Business Call to Action, SDG Philanthropy Platform, Global Islamic Finance and Impact Investing Platform and Connecting Business Initiative.

Context

The online volunteer is expected to deliver a minimum of 8 live online lectures on Intelligent Climate Monitoring & IoT Systems Professional Certification Exams over 8 weeks. The masterclass prepares Future Tech Leaders (FTL) Syria participants for professional certification exams in IoT systems. It follows the programme's AI Bootcamp and the Intelligent Climate Monitoring & IoT Systems Workshop.

Task Description

We are recruiting 1 Online Volunteer to deliver the Intelligent Climate Monitoring & IoT Systems Professional Certification Exam Masterclass for the Future Tech Leaders Syria programme under the guidance of the team focal point. The Online Volunteer will:

• Develop 8 slide decks and accompanying exercises, aligned with the topics covered in IoT certification exams.
• Develop materials and deliver 8 live online lectures, one per week, on the following topics: Climate Monitoring Systems and Use Cases; Environmental Sensors and Measurement; Embedded Platforms: ESP32 and Raspberry Pi; Data Collection, Pipelines and IoT Cloud Platforms; Sensor Data Quality and Gap Filling; AI for Anomaly Detection and Forecasting; Edge AI on Resource-Constrained Devices; End-to-End Project and Certification Exam Preparation.
• Include practical demonstrations with sensors, embedded platforms (e.g. ESP32, Raspberry Pi) and Python-based data analysis.
• Prepare one practice exam and review it with participants in the final session.
• Answer participants' questions during the live sessions and follow up on open questions after them.
• Provide brief documentation summarizing the materials developed and participant progress.

Competencies and values

Living conditions and remarks