كورسات الذكاء الاصطناعي
📈 Analytical overview of Telegram channel كورسات الذكاء الاصطناعي
Channel كورسات الذكاء الاصطناعي (@corses_ai) in the Arabic language segment is an active participant. Currently, the community unites 12 716 subscribers, ranking 15 630 in the Education category and 9 445 in the Iraq region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 12 716 subscribers.
According to the latest data from 28 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 1 254 over the last 30 days and by 19 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 17.52%. Within the first 24 hours after publication, content typically collects 6.22% reactions from the total number of subscribers.
- Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 790 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
- Thematic interests: Content is focused on key topics such as تَصمِيم, ذَكَاء, أَدَاة, صُورَة, عُنصُر.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“للتواصل:- @Youssef_Fadel”
Thanks to the high frequency of updates (latest data received on 29 July, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.
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| Date | Subscriber Growth | Mentions | Channels | |
| 29 July | +20 | |||
| 28 July | +19 | |||
| 27 July | +26 | |||
| 26 July | +22 | |||
| 25 July | +28 | |||
| 24 July | +23 | |||
| 23 July | +32 | |||
| 22 July | +14 | |||
| 21 July | +45 | |||
| 20 July | +28 | |||
| 19 July | +34 | |||
| 18 July | +59 | |||
| 17 July | +35 | |||
| 16 July | +47 | |||
| 15 July | +19 | |||
| 14 July | +64 | |||
| 13 July | +29 | |||
| 12 July | +41 | |||
| 11 July | +109 | |||
| 10 July | +50 | |||
| 09 July | +91 | |||
| 08 July | +40 | |||
| 07 July | +61 | |||
| 06 July | +264 | |||
| 05 July | +6 | |||
| 04 July | +7 | |||
| 03 July | +16 | |||
| 02 July | +2 | |||
| 01 July | +23 |
| 2 | 20. Backpropagation Algorithm in Details | 4 527 |
| 3 | 19. Introduction to Backpropagation Algorithm | 4 370 |
| 4 | +7 Keras Building Your First Neural Network (2).png | 3 988 |
| 5 | 18. Keras: Building Your First Neural Network | 2 965 |
| 6 | +5 Install Keras (2).png | 2 979 |
| 7 | 17. Install Keras | 2 744 |
| 8 | 16. Biological Neural Networks | 2 793 |
| 9 | 15. Introduction to Neural Networks Part 2 | 2 215 |
| 10 | 14. Introduction to Neural Networks Part 1 | 1 907 |
| 11 | 13. Multi-Class Classification | 1 874 |
| 12 | 12. Cost function | 2 163 |
| 13 | 11. Introduction to Logistic Regression | 2 129 |
| 14 | 10. Linear Regression with Multiple Variables | 2 073 |
| 15 | 9. Gradient Descent Algorithm | 2 074 |
| 16 | 8. Cost Function Intuition | 2 047 |
| 17 | 7. Univariate Linear Regression | 2 029 |
| 18 | 6. Machine Learning & Deep learning Applications | 1 920 |
| 19 | 5. Steps to Build a Machine Learning System | 2 080 |
| 20 | 4. K-Nearest Neighbors (KNN) Model | 2 421 |
