متاح الآن! بحث تيليغرام 2025 — أهم رؤى العام 
Linkedin Learning
الذهاب إلى القناة على Telegram
Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning
إظهار المزيد📈 نظرة تحليلية على قناة تيليجرام Linkedin Learning
تُعد قناة Linkedin Learning (@linkedin_learning) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 217 182 مشتركاً، محتلاً المرتبة 389 في فئة التعليم والمرتبة 717 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 217 182 مشتركاً.
بحسب آخر البيانات بتاريخ 22 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 166، وفي آخر 24 ساعة بمقدار 15، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 7.10%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.31% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 15 413 مشاهدة. وخلال اليوم الأول يجمع عادةً 2 837 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 14.
- الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل author, linkedin, linux, javascript, 040k|.
📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“Linkedin Learning
Download and watch Linkedin Learning Courses
📈 Pᴀɪᴅ ᴀᴅs :
https://telega.io/c/linkedin_learning”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 23 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.
217 182
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217 182
🔸 Full description 🔸
Although it was developed in the 1970s, Unix remains an essential skill for anyone working in technology today, and serves as the backbone of many modern technologies like smartphones, streaming services, and supercomputers. In Unix Essential Training, Kevin Skoglund teaches Unix from the ground up, starting with the basics of the command line and the most important Unix commands. Regardless of whether youre using Mac OS, Windows, or Linux, Kevin helps you unlock the powerful capabilities of Unix by walking you through how to use command-line syntax to perform common tasks such as file management, data entry, and text manipulation. By the end of the course, youll have tools that you can immediately apply to your own work.
217 182
🔅 Unix Essential Training
🌐 Author: Kevin Skoglund
🔰 Level: Intermediate
⏰ Duration: 2h 38m
🌀
This course teaches Unix from the ground up, starting with the basics of the command line and the most important Unix commands.
📗 Topics: Unix
📤 Join @linkedin_learning for more courses217 182
🔅 JavaScript: Functions
🌐 Author: Ray Villalobos
🔰 Level: Intermediate
⏰ Duration: 1h 27m
🌀
Explore the different ways of declaring and invoking JavaScript functions, the hidden but powerful "subprograms" that power the backbone of your code.
📗 Topics: JavaScript
📤 Join @JavaScript_Trainings for more courses217 182
Applied AI: Getting Started with Hugging Face Transformers
@Linkedin_Learning
217 182
🔸 Full description 🔸
Using pretrained transformers for natural language processing (NLP) has become extremely popular among ML engineers and data scientists. If you work in the field, or even have a role adjacent to it, you need to stay apace with the latest innovative tools. In this course, instructor Kumaran Ponnambalam shows you how to take your AI skills to the next level using the repository of pretrained transformers available on the Hugging Face platform.Explore strategies to leverage transformers for various use cases to solve complex problems and deliver consistent, timely results. Kumaran shows you how to implement two simple NLP use cases—sentiment analysis and named entity recognition—utilizing pretrained transformers from Hugging Face and customizing them as you go. Upon completing this course, youll be prepared to apply your new AI skills to projects in your current or future role.
217 182
🔅 Applied AI: Getting Started with Hugging Face Transformers
🌐 Author: Kumaran Ponnambalam
🔰 Level: Intermediate
⏰ Duration: 1h 16m
🌀
Get up and running with pretrained transformers in Hugging Face, the popular platform for natural language processing (NLP) applications.
📗 Topics: Applied Machine Learning
📤 Join @linkedin_learning for more courses217 182
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217 182
🔅 JavaScript: Best Practices for Functions and Classes
🌐 Author: Sasha Vodnik
🔰 Level: Intermediate
⏰ Duration: 1h 45m
🌀
Learn how to generate more consistent and easier-to-maintain JavaScript. Discover keys and tools to build better programs and to help improve code organization and quality.
📗 Topics: JavaScript
📤 Join @JavaScript_Trainings for more courses217 182
🔸 Full description 🔸
In todays world, were constantly surrounded by screens and devices. For all their benefits, they can also have a negative effect on your focus, work, and general well-being. This course gives you an opportunity to audit your digital habits to determine what habits are serving you and what habits are leaving you feeling distracted and drained. Instructor Chris Flack guides you through the impact your digital habits have on your work performance and well-being—including the effects of being reactive to technology, task switching, information overload, and always-on culture. Chris explains ways to build habits to have a more proactive relationship with technology by being intentional about your working environment, reducing digital multitasking, building flow and focus, and simple tools that help build productive digital habits. Finally, learn how sleep, exercise, mindful practice, and work culture can help reinforce your new digital habits.
217 182
🔅 Building Better Digital Habits for Focus and Well-being
🌐 Author: Chris Flack
🔰 Level: General
⏰ Duration: 29m
🌀
Learn to build healthier digital habits in order to improve focus, work performance, and well-being.
📗 Topics: Wellness, Self Help
📤 Join @linkedin_learning for more courses217 182
🔅 Advanced Python: Practical Database Examples
🌐 Author: Kathryn Hodge
🔰 Level: Advanced
⏰ Duration: 1h 48m
🌀
Level up as a Python developer working with databases in this advanced, skills-based course.
📗 Topics: Database Development, Python
📤 Join @python_trainings for more courses