🇬🇧 The Rhythm of English 🆓 The American Accent: How to Sound as Smooth as a Native Speaker ⭐️ التقييم: 4.6 📚 المجال: Teaching & Academics ⏱️ مدة الكورس: 7 ساعة (42 محاضرة) 👥 عدد الطلاب: 24,247 🔗 رابط التسجيل: اضغط هنا @UdemyC0ursesDaily ✅

Channel
Free Udemy Courses - كورسات دورات مجاناً
@UdemyC0ursesDaily
On this record: Topic · Growth · Engagement · Reactions · Posts · Telegram's recommendations · Cite this entry
19,703subscribers
-296 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001948773894 |
|---|---|
| Type | Channel |
| Username | @UdemyC0ursesDaily |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 23 October 2026 |
| Measurements held | 44 |
| Confirmed unchanged | 1 time, most recently 23 October 2026 |
| On Telegram | t.me/UdemyC0ursesDaily |
Topic
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 62% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 23 Oct 2026, 17:59 | 19,703 | -12 |
| 22 Oct 2026, 15:08 | 19,715 | -5 |
| 21 Oct 2026, 09:19 | 19,720 | -7 |
| 20 Oct 2026, 05:31 | 19,727 | -11 |
| 19 Oct 2026, 04:07 | 19,738 | -9 |
| 18 Oct 2026, 03:26 | 19,747 | -3 |
| 16 Oct 2026, 00:56 | 19,750 | -6 |
| 15 Oct 2026, 00:06 | 19,756 | -3 |
| 13 Oct 2026, 16:30 | 19,759 | -10 |
| 10 Oct 2026, 00:01 | 19,769 | -20 |
| 5 Oct 2026, 17:18 | 19,789 | -21 |
| 30 Sept 2026, 04:20 | 19,810 | -45 |
| 18 Sept 2026, 00:39 | 19,855 | +10 |
| 15 Sept 2026, 21:57 | 19,845 | -3 |
| 14 Sept 2026, 02:17 | 19,848 | -6 |
| 12 Sept 2026, 12:00 | 19,854 | -9 |
| 10 Sept 2026, 08:02 | 19,863 | -21 |
| 7 Sept 2026, 02:37 | 19,884 | -7 |
| 4 Sept 2026, 13:18 | 19,891 | -6 |
| 2 Sept 2026, 21:59 | 19,897 | first reading |
Engagement
1,043 posts held, back to 7 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 56 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 1,043 posts for this entry, the most recent from 2 September 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
6 reactions across 5 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 6 | 100.0% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 13 of the 1,000 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 6 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 8 August 2026 to 2 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
🇬🇧 1Z0-1109-26 OCI DevOps Professional Practice Exam 🆓 1Z0-1109-26 Oracle Cloud Infrastructure DevOps Professional Practice Exam ⭐️ التقييم: 0 📚 المجال: IT & Software 👥 عدد الطلاب: 0 🔗 رابط التسجيل: اضغط هنا @UdemyC0ursesDaily ✅
🇬🇧 Agentic AI Masters 2026: LangChain, LangGraph & CrewAI 🆓 Master Python to Production-Grade AI Agents: NLP, LLMs, RAG, LangGraph, CrewAI, n8n & Multi-Agent Systems ⭐️ التقييم: 4.8 📚 المجال: Development ⏱️ مدة الكورس: 61.5 ساعة (296 محاضرة) 👥 عدد الطلاب: 697 🔗 رابط التسجيل: اضغط هنا @UdemyC0ursesDaily ✅
🇬🇧 Generative AI Masters 2026 - From Python to Gen AI 🆓 Master Generative AI with hands-on LLMs, ChatGPT, LangChain, RAG, Fine Tuning and real-world projects. ⭐️ التقييم: 4.5 📚 المجال: Development ⏱️ مدة الكورس: 49.5 ساعة (224 محاضرة) 👥 عدد الطلاب: 29,775 🔗 رابط التسجيل: اضغط هنا @UdemyC0ursesDaily ✅
🇬🇧 ML & MLOps Masters 2026 - Build, Train, Evaluate, Deployment 🆓 Python + Stats to ML models, clustering, time series, and MLOps—build, evaluate, deploy end to end. ⭐️ التقييم: 4.9 📚 المجال: Development ⏱️ مدة الكورس: 64 ساعة (361 محاضرة) 👥 عدد الطلاب: 276 🔗 رابط التسجيل: اضغط هنا @UdemyC0ursesDaily ✅
❤1
🇬🇧 LinkedIn Ads Mastery 2026: Complete Campaign & Feature Guide 🆓 Master LinkedIn Ads 2026: Create Campaigns & Features to Reach Customers and Boost Revenue! ⭐️ التقييم: 4.4 📚 المجال: Marketing ⏱️ مدة الكورس: 2.5 ساعة (41 محاضرة) 👥 عدد الطلاب: 6,244 🔗 رابط التسجيل: اضغط هنا @UdemyC0ursesDaily ✅
🇬🇧 Azure Data Engineering Masters: Build Scalable Solutions 🆓 Master Data Engineering with Azure: From Fundamentals to Real-World Projects in Spark, SQL, and Databricks ⭐️ التقييم: 4.5 📚 المجال: IT & Software ⏱️ مدة الكورس: 51.5 ساعة (215 محاضرة) 👥 عدد الطلاب: 10,499 🔗 رابط التسجيل: اضغط هنا @UdemyC0ursesDaily ✅
🇬🇧 Data Analytics Masters 2026 - From Basics To Advanced 🆓 Master Data Analysis: Learn Python, EDA, Stats, Excel, SQL, Power BI/Tableau, Fabric, Predictive Analytics & ETL Basics ⭐️ التقييم: 4.4 📚 المجال: Business ⏱️ مدة الكورس: 67.5 ساعة (369 محاضرة) 👥 عدد الطلاب: 40,612 🔗 رابط التسجيل: اضغط هنا @UdemyC0ursesDaily ✅
🇬🇧 Introduction to Generative AI: AI Tools, LLMs, & Prompts! 🆓 Learn Generative AI From Scratch: ChatGPT, Prompt Engineering, LLMs, RAG, AI Tools & Responsible AI With Real Demos! ⭐️ التقييم: 4.7 📚 المجال: Business ⏱️ مدة الكورس: 4 ساعة (64 محاضرة) 👥 عدد الطلاب: 32 🔗 رابط التسجيل: اضغط هنا @UdemyC0ursesDaily ✅
🇬🇧 Data Science & AI Masters 2026 - From Python To Gen AI 🆓 Master Data Science and AI: Learn Python, EDA, Stats, SQL, Machine Learning, NLP, Deep Learning and Gen AI ⭐️ التقييم: 4.4 📚 المجال: Business ⏱️ مدة الكورس: 115.5 ساعة (632 محاضرة) 👥 عدد الطلاب: 35,046 🔗 رابط التسجيل: اضغط هنا @UdemyC0ursesDaily ✅
🇬🇧 Master SEO 2026: From Beginner to Pro with AI Techniques 🆓 Master Traffic-Driving SEO with AI: Keyword Research, On-Page & Off-Page Optimization, Link Building, and Technical SEO! ⭐️ التقييم: 4.6 📚 المجال: Marketing ⏱️ مدة الكورس: 8 ساعة (151 محاضرة) 👥 عدد الطلاب: 4,735 🔗 رابط التسجيل: اضغط هنا @UdemyC0ursesDaily ✅
🇬🇧 Microsoft Copilot with Excel: Complete Mastery - 2026 🆓 Master data analysis, formulas, automation, and prompt engineering using Microsoft Copilot in Excel. ⭐️ التقييم: 4.6 📚 المجال: Office Productivity ⏱️ مدة الكورس: 3.5 ساعة (66 محاضرة) 👥 عدد الطلاب: 291 🔗 رابط التسجيل: اضغط هنا @UdemyC0ursesDaily ✅
Showing the 12 most recent of 1,043 posts we hold for @UdemyC0ursesDaily. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
@udemycoursesfree · 171,730#1
@m_r_o_o2 · 12,670#2
@cybersecurityforall77 · 29,380#3
@coursaty4you · 2,596#4
@Professor_Technology · 18,040#5
@CyberSecurityforall24 · 34,991#6
@software_eng_alazhar · 1,051#7
@the_developer_guide · 10,936#8
@corses19 · 97,246#9
@IndexShow · 5,814#10
@w_of_Courses · 13,727#11
@WinDroidHQ · 13,552#12
@korsart_blmajan · 3,011#13
@Dark_Owl_Official · 2,338#14
@corses3 · 86,499#15
@Crypto_p4p · 17,975#16
@Linux_Arabss · 25,481#17
@Free4arab1 · 25,518#18
@it_certificate · 6,394#19
@couurses · 7,251#20
@Udemy7 · 119,664#21
@corses75 · 13,148#22
@eventnews13 · 2,461#23
@designer_bag_1 · 24,949#24
@shbab_btsad_shbab · 53,851#25
@cyber_fu · 6,918#26
@manjmy · 399,902#27
@OneCubeDev · 16,450#28
@Network_Cybeer · 19,245#29
@Networkat20 · 31,672#30
@OmarX14 · 7,781#31
@NusurTech · 10,244#32
@academy_hsoub1 · 3,897#33
@CyberBankSa · 10,332#34
@yourrfyuture · 427#35
@MegaManEgypt · 11,507#36
@tawzeefy · 54,523#37
@ACADEMIE_N1 · 16,827#38
@akramslab · 16,125#39
@CyberShieldOfficial · 1,150#40
Read from Telegram’s recommendation API, most recently 30 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@udemycoursesfree · 171,730
Telegram ranks this channel #16 of 32 here — alongside 31 others — read 28 September 2026
@shogll · 347,302
Telegram ranks this channel #17 of 56 here — alongside 55 others — read 16 August 2026
@shbab_btsad_shbab · 53,851
Telegram ranks this channel #19 of 81 here — alongside 80 others — read 24 August 2026
@ITI_Courses · 32,847
Telegram ranks this channel #21 of 53 here — alongside 52 others — read 4 September 2026
@manjmy · 399,902
Telegram ranks this channel #38 of 62 here — alongside 61 others — read 10 August 2026
@mohamedsaeed4Telecom · 25,949
Telegram ranks this channel #39 of 63 here — alongside 62 others — read 13 September 2026
@JobJordan · 43,364
Telegram ranks this channel #43 of 80 here — alongside 79 others — read 13 September 2026
@JobsInEG · 59,853
Telegram ranks this channel #59 of 82 here — alongside 81 others — read 22 August 2026
This channel appears in 8 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 23 October 2026 — this entry's latest reading, not the date you are reading this.
“Free Udemy Courses - كورسات دورات مجاناً” (@UdemyC0ursesDaily), 19,703 subscribers as measured 23 October 2026. Telegram Register, tgregister.com/channel/UdemyC0ursesDaily.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.