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إظهار المزيد

الشبكة:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert الهند8 015 التعليم3 765...

📈 نظرة تحليلية على قناة تيليجرام Free Online Courses with Certificate | Udacity Free Courses | Eduonix | IP Cybersecurity | Coursera | Premium Certified Courses

تُعد قناة Free Online Courses with Certificate | Udacity Free Courses | Eduonix | IP Cybersecurity | Coursera | Premium Certified Courses (@udacityfreecourse) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 47 507 مشتركاً، محتلاً المرتبة 3 765 في فئة التعليم والمرتبة 8 015 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 47 507 مشتركاً.

بحسب آخر البيانات بتاريخ 20 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -147، وفي آخر 24 ساعة بمقدار -26، مع بقاء الوصول العام مرتفعاً.

حالة التحقق: غير موثّقة
معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 1.58‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 0.54‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
وصول المنشورات: يحصل كل منشور على متوسط 751 مشاهدة. وخلال اليوم الأول يجمع عادةً 256 مشاهدة.
التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 3.
الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل |--, learning, javascript, analytic, certification.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“👉Udacity, Microsoft, Edx, Google and Eduonix courses for free 👉Get premium Free courses from top websites 👉We also provide discount coupon codes for premium Udacity courses to help you as much as we can For promotions: @love_data”

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 21 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.

47 507

المشتركون

-2624 ساعات

-727 أيام

-14730 أيام

751

عرض المشاهدات

~ 25624 ساعات

~ 33948 ساعات

1.58%

معدل المشاركة

~ 2

المشاركات في اليوم

Ads index

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جاري تحميل البيانات...

القنوات المماثلة

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سحابة العلامات

الإشارات الواردة والصادرة

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يونيو '26

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فبراير '26

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يناير '26

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ديسمبر '25

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نوفمبر '25

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يوليو '25

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يونيو '25

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أبريل '25

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مارس '25

+538

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فبراير '25

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ديسمبر '24

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يونيو '24

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فبراير '24

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يناير '24

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ديسمبر '23

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يوليو '23

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يونيو '23

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يوليو '22

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مايو '21

+807

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التاريخ	نمو المشتركين	الإشارات	القنوات
21 يونيو	+1
20 يونيو	0
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01 يونيو	+3

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9	🌐 Complete Roadmap to Become a Web Developer 📂 1. Learn the Basics of the Web – How the internet works – What is HTTP/HTTPS, DNS, Hosting, Domain – Difference between frontend & backend 📂 2. Frontend Development (Client-Side) ∟📌 HTML – Structure of web pages ∟📌 CSS – Styling, Flexbox, Grid, Media Queries ∟📌 JavaScript – DOM Manipulation, Events, ES6+ ∟📌 Responsive Design – Mobile-first approach ∟📌 Version Control – Git & GitHub 📂 3. Advanced Frontend ∟📌 JavaScript Frameworks/Libraries – React (recommended), Vue or Angular ∟📌 Package Managers – npm or yarn ∟📌 Build Tools – Webpack, Vite ∟📌 APIs – Fetch, REST API integration ∟📌 Frontend Deployment – Netlify, Vercel 📂 4. Backend Development (Server-Side) ∟📌 Choose a Language – Node.js (JavaScript), Python, PHP, Java, etc. ∟📌 Databases – MongoDB (NoSQL), MySQL/PostgreSQL (SQL) ∟📌 Authentication & Authorization – JWT, OAuth ∟📌 RESTful APIs / GraphQL ∟📌 MVC Architecture 📂 5. Full-Stack Skills ∟📌 MERN Stack – MongoDB, Express, React, Node.js ∟📌 CRUD Operations – Create, Read, Update, Delete ∟📌 State Management – Redux or Context API ∟📌 File Uploads, Payment Integration, Email Services 📂 6. Testing & Optimization ∟📌 Debugging – Chrome DevTools ∟📌 Performance Optimization ∟📌 Unit & Integration Testing – Jest, Cypress 📂 7. Hosting & Deployment ∟📌 Frontend – Netlify, Vercel ∟📌 Backend – Render, Railway, or VPS (e.g. DigitalOcean) ∟📌 CI/CD Basics 📂 8. Build Projects & Portfolio – Blog App – E-commerce Site – Portfolio Website – Admin Dashboard 📂 9. Keep Learning & Contributing – Contribute to open-source – Stay updated with trends – Practice on platforms like LeetCode or Frontend Mentor ✅ Apply for internships/jobs with a strong GitHub + portfolio! 👍 Tap ❤️ for more!	291
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12	🔟 AI Project Ideas for Beginners 1. Chatbot Development: Build a simple chatbot using Natural Language Processing (NLP) with libraries like NLTK or SpaCy. Train it to respond to common queries. 2. Image Classification: Use a pre-trained model (like MobileNet) to classify images from a dataset (e.g., CIFAR-10) using TensorFlow or PyTorch. 3. Sentiment Analysis: Create a sentiment analysis tool to classify text (e.g., movie reviews) as positive, negative, or neutral using NLP techniques. 4. Recommendation System: Build a recommendation engine using collaborative filtering or content-based filtering techniques to suggest products or movies. 5. Stock Price Prediction: Use time series forecasting models (like ARIMA or LSTM) to predict stock prices based on historical data. 6. Face Recognition: Implement a face recognition system using OpenCV and deep learning techniques to detect and identify faces in images. 7. Voice Assistant: Develop a basic voice assistant that can perform simple tasks (like setting reminders or searching the web) using speech recognition libraries. 8. Handwritten Digit Recognition: Use the MNIST dataset to build a neural network that recognizes handwritten digits with TensorFlow or PyTorch. 9. Game AI: Create an AI that can play a simple game (like Tic-Tac-Toe) using Minimax algorithm or reinforcement learning. 10. Automated News Summarizer: Build a tool that summarizes news articles using NLP techniques like extractive or abstractive summarization. Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624 Credits: https://t.me/datasciencefun Like if you need similar content 😄👍 ENJOY LEARNING 👍👍	313
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20	Artificial Intelligence (AI) Roadmap \| \|-- Fundamentals \| \|-- Mathematics \| \| \|-- Linear Algebra \| \| \|-- Calculus \| \| \|-- Probability and Statistics \| \| \| \|-- Programming \| \| \|-- Python (Focus on Libraries like NumPy, Pandas) \| \| \|-- Java or C++ (optional but useful) \| \| \| \|-- Algorithms and Data Structures \| \| \|-- Graphs and Trees \| \| \|-- Dynamic Programming \| \| \|-- Search Algorithms (e.g., A*, Minimax) \| \|-- Core AI Concepts \| \|-- Knowledge Representation \| \|-- Search Methods (DFS, BFS) \| \|-- Constraint Satisfaction Problems \| \|-- Logical Reasoning \| \|-- Machine Learning (ML) \| \|-- Supervised Learning (Regression, Classification) \| \|-- Unsupervised Learning (Clustering, Dimensionality Reduction) \| \|-- Reinforcement Learning (Q-Learning, Policy Gradient Methods) \| \|-- Ensemble Methods (Random Forest, Gradient Boosting) \| \|-- Deep Learning (DL) \| \|-- Neural Networks \| \|-- Convolutional Neural Networks (CNNs) \| \|-- Recurrent Neural Networks (RNNs) \| \|-- Transformers (BERT, GPT) \| \|-- Frameworks (TensorFlow, PyTorch) \| \|-- Natural Language Processing (NLP) \| \|-- Text Preprocessing (Tokenization, Lemmatization) \| \|-- NLP Models (Word2Vec, BERT) \| \|-- Applications (Chatbots, Sentiment Analysis, NER) \| \|-- Computer Vision \| \|-- Image Processing \| \|-- Object Detection (YOLO, SSD) \| \|-- Image Segmentation \| \|-- Applications (Facial Recognition, OCR) \| \|-- Ethical AI \| \|-- Fairness and Bias \| \|-- Privacy and Security \| \|-- Explainability (SHAP, LIME) \| \|-- Applications of AI \| \|-- Healthcare (Diagnostics, Personalized Medicine) \| \|-- Finance (Fraud Detection, Algorithmic Trading) \| \|-- Retail (Recommendation Systems, Inventory Management) \| \|-- Autonomous Vehicles (Perception, Control Systems) \| \|-- AI Deployment \| \|-- Model Serving (Flask, FastAPI) \| \|-- Cloud Platforms (AWS SageMaker, Google AI) \| \|-- Edge AI (TensorFlow Lite, ONNX) \| \|-- Advanced Topics \| \|-- Multi-Agent Systems \| \|-- Generative Models (GANs, VAEs) \| \|-- Knowledge Graphs \| \|-- AI in Quantum Computing Best Resources to learn ML & AI 👇 Learn Python for Free Prompt Engineering Course Prompt Engineering Guide Data Science Course Google Cloud Generative AI Path Machine Learning with Python Free Course Machine Learning Free Book Artificial Intelligence WhatsApp channel Hands-on Machine Learning Deep Learning Nanodegree Program with Real-world Projects AI, Machine Learning and Deep Learning Like this post for more roadmaps ❤️ Follow & share the channel link with your friends: t.me/free4unow_backup ENJOY LEARNING👍👍	631

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