Union of Chambers and Commodity Exchanges of Turkey

AI Program for Teachers continues


11.08.2021 / 



In cooperation with MEB, TOBB, TOBB ETU and Global AI Hub, a program including artificial intelligence, hyper automation and machine learning trainings for high school teachers was launched.​

The “Artificial Intelligence for Teachers” webinar, which TOBB SME Director Cahit Ceren gave the keynote speech on August 2nd, continues with the “First Step to Artificial Intelligence” and “Hyper Automation for All” trainings that participants can access through the Global AI Hub platform.

In the last part of the program, “Machine Learning without Coding for Teachers” training will be held on August 12-13.

In the opening webinar, under the moderation of Global AI Hub artificial intelligence team leader Mert Çobanov, Şişli Vocational and Technical Anatolian High School Information Technology Teacher Mehmet Boz and Tokat Vocational and Technical Anatolian High School Teacher Serdar Asarkaya shared the basic principles that teachers should know about artificial intelligence and focused on how to teach high school students about artificial intelligence.

Those who miss the broadcast will be able to watch it by going to the program page via the Global AI Hub platform.

After the event, all participants will complete the entry-level “First Step to Artificial Intelligence” and "Hyper Automation for All” trainings through the Global AI Hub platform. These trainings are designed with the contributions of leading technology leaders such as Google, Amazon, UiPath and AI Business School, and those who successfully complete the trainings will be eligible for a free certificate from a leading Swiss organization.

In the last part of the program, there will be “Machine Learning Without Coding” trainings, which will be held for 2 days on August 12-13. In this training, the place of machine learning in our lives, usage areas and examples, history of machine learning are included. In addition, the projects carried out using machine learning methods and the career paths for this field will be explained.

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