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Trainer for Python web frameworks for ML application development and deployment

Türkiye

  • Organization: UNV - United Nations Volunteers
  • Location: Türkiye
  • Grade: Level not specified - Level not specified
  • Occupational Groups:
    • Education, Learning and Training
    • Information Technology and Computer Science
  • Closing Date: Closed

Details

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

Innovation Campus starts the Artificial Intelligence cohort in May 2024. The volunteers are expected to complete their preparations before the training and deliver 2 live classes in Turkish starting from June 2024.

Task description

The Python web frameworks for ML application development and deployment guide volunteer is expected to: Conduct a minimum of 1 online session in Turkish Cover "Machine Learning Application Deployment Strategies" Course topics and ensure a comprehensive understanding among students. Possess advanced knowledge of Machine Learning Application Deployment to effectively convey complex concepts. Demonstrate practical skills through live coding sessions. Develop and prepare assignments that reinforce the concepts covered in the sessions. Provide a pre-recorded demo for each session. Dedicate sufficient time for preparation, teaching, and interaction with students (Evening sessions during the weekdays and morning sessions on the weekend)

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