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training:ds:2026:introtodeeplearning_ar [2026/02/10 09:42] – Abdelghafour Halimitraining:ds:2026:introtodeeplearning_ar [2026/02/10 10:59] (current) – Abdelghafour Halimi
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-====== Hands-on AI Tools Workshop Series ~ Introduction to Machine Learning and Deep Learning with Real-Time Demos ~ مقدمة في تعلم الآلة والتعلم العميق ======+====== ~ Introduction to Machine Learning and Deep Learning with Real-Time Demos ~ مقدمة في تعلم الآلة والتعلم العميق ======
  
 <WRAP group> <WRAP quarter column> <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:calendar3.svg?nolink&}} <tab1> <fs:26px>** Date**</fs> <WRAP group> <WRAP quarter column> <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:calendar3.svg?nolink&}} <tab1> <fs:26px>** Date**</fs>
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 <WRAP quarter column> <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:map.svg?nolink&}} <tab1> <fs:26px>** Venue**</fs> <WRAP quarter column> <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:map.svg?nolink&}} <tab1> <fs:26px>** Venue**</fs>
  
-  * Level 0 Auditorium, BW B4 and B5 +  * [[https://www.youtube.com/watch?v=placeholder|YouTube Live Link]]
-  * [[https://www.youtube.com/watch?v=placeholder|YouTube Live Link (Optional)]]+
    
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   * Participants will gain a foundational understanding of data-driven decision making, moving from basic classifiers to complex deep learning architectures. The session features **real-time demos** illustrating how these models "learn" and predict.   * Participants will gain a foundational understanding of data-driven decision making, moving from basic classifiers to complex deep learning architectures. The session features **real-time demos** illustrating how these models "learn" and predict.
-  * سيكتسب الحضور فهماً أساسياً لكيفية اتخاذ القرارات القائمة على البيانات، والانتقال من المصنفات البسيطة إلى معماريات التعلم العميق المعقدة. ستتضمن الجلسة **عروضاً توضيحية حية (Real-Time Demos)** تشرح كيف "تتعلم" هذه النماذج وتقوم بالتنبؤات.+  * سيكتسب الحضور فهماً أساسياً لكيفية اتخاذ القرارات القائمة على البيانات، والانتقال من المصنفات البسيطة إلى معماريات التعلم العميق المعقدة. ستتضمن الجلسة **عروضاً توضيحية حية ** تشرح كيف "تتعلم" هذه النماذج وتقوم بالتنبؤات.
  
 ===== Who Should Attend? من يجب أن يحضر؟ ===== ===== Who Should Attend? من يجب أن يحضر؟ =====
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   * **Beginners & Enthusiasts:** Anyone with zero experience who wants to understand the full spectrum of AI, from Machine Learning to Deep Learning.   * **Beginners & Enthusiasts:** Anyone with zero experience who wants to understand the full spectrum of AI, from Machine Learning to Deep Learning.
   * **Makers & Coders:** You are a programmer wanting to extend your skills into Data Science to make yourself more valuable.   * **Makers & Coders:** You are a programmer wanting to extend your skills into Data Science to make yourself more valuable.
-  * **Professionals:** Anyone who wants to learn these topics from industry experts and see real-time applications in action.+  * **Professionals:** Anyone who wants to learn these topics from an industry expert and see real-time applications in action.
   * **Entrepreneurs:** You want to add value to your business by understanding which tool (ML or DL) fits your problem best.   * **Entrepreneurs:** You want to add value to your business by understanding which tool (ML or DL) fits your problem best.
  
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 ^2:35pm - 2:55pm  |**Real-Time Demos:** ML in Action  |Abdelghafour Halimi  | ^2:35pm - 2:55pm  |**Real-Time Demos:** ML in Action  |Abdelghafour Halimi  |
 ^2:55pm - 3:20pm  |Introduction to Deep Learning (Neural Networks)  |Abdelghafour Halimi  | ^2:55pm - 3:20pm  |Introduction to Deep Learning (Neural Networks)  |Abdelghafour Halimi  |
-^3:20pm - 3:45pm  |**Real-Time Demos:** Deep Learning Visualization  |Abdelghafour Halimi  | +^3:20pm - 3:45pm  |**Real-Time Demos:** Deep Learning (Computer Vision)|Abdelghafour Halimi  | 
-^3:45pm - 4:00pm  |Conclusion & Q/A  |Abdelghafour Halimi  |+^3:45pm - 4:00pm  |Conclusion   |Abdelghafour Halimi  |
  
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