We are pleased to announce the successful completion of two more sessions in our AI training series for scientific research at Tishk International University, demonstrating our commitment to innovation and sustainable development.
Highlights of the Sessions
Second Session – Generative AI and Google Teachable Machine
Date: Thursday, December 12, 2024
The session focused on the Google Teachable Machine and its applications across various research fields. Thirty-five TIU staff members from different faculties participated in this interactive session.
The session focused on the Google Teachable Machine and its applications across various research fields. Thirty-five TIU staff members from different faculties participated in this interactive session.
Third Session – Generative AI Writing Tools – Aithor.com
Date: Thursday, December 19, 2024
Time: 3:30 PM
Venues: Room 207 (Theory) & Lab 206 (Practical)
Time: 3:30 PM
Venues: Room 207 (Theory) & Lab 206 (Practical)
The session covered Aithor.com and its capabilities in generating various types of academic papers with advanced AI tools. Twenty-severn staff members attended this session.
Collaboration and Sustainable Development Goals (SDGs)
These sessions align with multiple Sustainable Development Goals (SDGs):
- SDG 4: Quality Education – Providing high-quality training in cutting-edge AI technologies.
- SDG 5: Gender Equality – Ensuring inclusive participation from faculty across genders.
- SDG 8: Decent Work and Economic Growth – Upskilling staff for innovative research applications.
- SDG 9: Industry, Innovation, and Infrastructure – Enhancing the university’s research capabilities through AI tools.
- SDG 17: Partnerships for the Goals – Achieved through effective collaboration between the IT Department and Cyber Security Department, supported by research assistants.
This interdepartmental collaboration showcases the power of teamwork in advancing institutional goals and underscores TIU’s commitment to sustainable and innovative growth.
Session Structure
Each session was structured to provide maximum value:
- 20 minutes of theoretical instruction
- 40 minutes of hands-on laboratory work
- Practical experience with AI tools for research applications.
Facilitation Team
- Lead Trainer: Mr. Mohammad Salim
- Support: IT and Cyber Security research assistants
Participation and Feedback
Both sessions received overwhelmingly positive feedback from participants, who appreciated the practical approach to learning AI tools. The diverse attendance from multiple faculties highlights the university-wide interest in adopting advanced AI technologies for research.
This training initiative was jointly organized by the IT and Cyber Security Departments, reflecting TIU’s collaborative spirit and dedication to fostering a future-ready academic environment.
The Trainer is delivering the theory part of the AI training
The Trainer is delivering the theory part of the AI training
