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 217 008 مشتركاً، محتلاً المرتبة 387 في فئة التعليم والمرتبة 717 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 217 008 مشتركاً.
بحسب آخر البيانات بتاريخ 04 يوليو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 30، وفي آخر 24 ساعة بمقدار 54، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 6.18%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.82% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 13 422 مشاهدة. وخلال اليوم الأول يجمع عادةً 3 952 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 16.
- 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 05 يوليو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.
217 008
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217 050
+3🌟 A Telegram Channel for Sale 🌟
- More than 2500 members.
- More than 8k views per day.
- 80% of members speak English.
- More than 450 view per post.
For more information please contact @alphafirass.
Note: Only Crypto is accepted.
217 050
🧿 Welcome to Udemy 🧿
Welcome to Udemy Channel, all courses are free 💰, just enroll them at the right moment ⏱. Before it's too late 🥱.
Join Now: https://t.me/+hXu_G3hi3LpmNjg0
217 050
📁 Full description
Patience with poor performance too often becomes permission to perform poorly. Effective leaders know they need to address the problem of poor performance in their company and on their team, but the skills needed to do so don’t come naturally to most of us. In this course, former corporate executive Ron Williams shows you a roadmap for tackling the tough conversations and hard decisions that come with responding to poor performers. Ron explains how to identify and respond to poor performance, as well as exactly how to do it. He covers strategies to recognize the difference between performance and potential and to take swifter, firmer action today with team members who are coming up short.
This course was created by Madecraft. We are pleased to host this training in our library.
217 050
🔰 How to Handle Poor Performers
🎟2021-03-19 • ⏱49m • 💡Beginner
🗣 Ronald Williams
Become a stronger and more effective manager by learning to tackle the problem of poor performers with compassion and decisiveness.
📦 Topics: Performance Management, Employee Coaching
LinkedIn Learning
217 050
📁 Full description
Learn how to work smarter with Google Drive. In this course, Jess Stratton explains how to get started with this popular cloud-based file storage and word processing, spreadsheet, and presentation software. Jess explains how Google Drive fits into the productivity suite from Google and shows how to navigate the interface. She goes into the differences between Drive and Docs, and shares how to organize, sync, and locate your Drive files. She also demonstrates how to create and edit documents, spreadsheets, presentation slides, and drawings. Plus, Jess explores how to share your files and leverage the mobile app.
217 050
🔰 Google Drive Essential Training
🎟2021-03-09 • ⏱1h 19m • 💡Intermediate
🗣 Jess Stratton
Learn how to use Google Drive, the popular cloud-based file storage system.
📦 Topics: Digital Asset Management, Google Drive, Cloud Storage
LinkedIn Learning
217 050
📁 Full description
Serverless architecture moves computing from physical servers to the cloud. This course provides a broad overview of the different types of design patterns available for serverless application development and deployment. Instructor Lynn Langit covers the core concepts behind serverless, including its costs, benefits, and risks. Then she reviews serverless services, including messaging, storage, streaming, payment processing, and deployment, and related solutions: AWS Lambda, Kinesis, Auth0, Kubernetes, and more. She reviews cloud-native architectures for serverless applications that incorporate third-party APIs, notifications, Internet of Things sensors, big data, and machine learning. Plus, learn about emergent architectures that support migration and hybrid serverless functionality. Each chapter is illustrated with real-world use cases that showcase the cost, scalability, and productivity benefits of serverless architecture in action.
217 050
🔰 Serverless Architecture
🎟2019-02-07 • ⏱2h 36m • 💡Advanced
🗣 Lynn Langit
Discover how serverless architecture can solve your organization's software development and deployment challenges. Review use cases and examples of different serverless solutions.
📦 Topics: Cloud Development, Cloud Computing, Amazon Web Services
LinkedIn Learning
217 050
📁 Full description
SharePoint Syntex is a new tool that uses AI to extract information from documents and forms in SharePoint libraries. For example, you could import hundreds of contracts and have SharePoint automatically recognize the participants in the contracts and contract amounts, or you could pull totals from a set of invoices and add that information directly into a SharePoint library column. In this course, instructor Phil Gold walks through using the Syntex AI to train models to identify types of documents and forms and to define the specific information you want to capture. After defining some basic concepts and best practices, Phil steps through setting up Syntex and creating document-understanding models and form-processing models. He shows how to build classifiers and extractors for documents, create and label collections of similar forms, and add your models to your SharePoint libraries to automatically capture data previously available only through time-consuming manual labor.
217 050
🔰 Using Microsoft SharePoint Syntex for AI Document Management
🎟2021-07-22 • ⏱1h 30m • 💡Intermediate
🗣 Phil Gold
Learn to build an AI-driven document recognition system for Microsoft SharePoint.
📦 Topics: Applied Machine Learning, SharePoint Administration, Document Management
LinkedIn Learning
