Create stunning 3D motion graphics with Blender Learn the fundamentals of animation and create stunning 3D motion graphics with Blender. #Learning #SelfLearning #PracticalLearning

Channel
Free Udemy Courses
@Udemy7
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
124,271subscribers
-297 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1001331165965 |
|---|---|
| Type | Channel |
| Username | @Udemy7 |
| Description | 🎓 Discover Udemy courses available for free—programming, design, business, marketing, AI, and more. Learn at your own pace and build valuable skills with new opportunities shared regularly. #Udemy #Courses #Free_Courses |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/Udemy7 |
Topic
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 76% 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 |
|---|---|---|
| 12 Aug 2026, 22:04 | 124,271 | -28 |
| 11 Aug 2026, 19:16 | 124,299 | -63 |
| 10 Aug 2026, 17:05 | 124,362 | -59 |
| 9 Aug 2026, 19:01 | 124,421 | -53 |
| 8 Aug 2026, 22:21 | 124,474 | -64 |
| 7 Aug 2026, 20:32 | 124,538 | -30 |
| 7 Aug 2026, 05:30 | 124,568 | no change |
| 7 Aug 2026, 05:25 | 124,568 | first reading |
Engagement
128 posts held, back to 5 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 21 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.492%
- avg views ÷ 124,271 subscribers
- Avg views / post
- 612
- 128 posts measured
- Reaction rate
- 0.094%
- reactions ÷ views · ER floor
- Posts in window
- 128
- of 128 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 16 of 128 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 128 (5 August 2026 – 12 August 2026) |
| Views total | 78,331 |
| Reactions total | 16 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 06:33 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Photos
- ≈92,200
- Videos
- ≈3
- Links
- ≈28,000
Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
16 reactions across 8 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 16 | 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 16 of the 128 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 16reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 128 most recent posts we hold, published 5 August 2026 to 12 August 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
Understanding retail banking products and services Learn about the products, services, operations, and regulatory framework of modern retail banking, including savings, deposit, and current accounts... #Learning #BusinessSkills #ProfessionalLearning
Local AI Development with Retrieval-Augmented Generation A nice local-AI path if you want to build with Mistral, LangChain, and Ollama. #mistralai #langchain #localai
Foundations in digital defense and online security Starting from zero in security? This one explains the threats and the habits that matter. #cybersecurity #infosec #techskills
Build Real-World AI Agents and Systems If AI agents are on your learning list, this is a practical place to start building them. #aiagents #claudecode #automation
Learn AI Development with DeepScaler and Ollama A hands-on pick for learning how local AI models are built and shipped. #aiengineering #ollama #modeldeployment
Implementing RAG for Enterprise Knowledge Systems RAG is what makes AI useful with your own data. Good course if you want to understand the full flow. #rag #generativeai #machinelearning
Local AI Development with Qwen 2.5 and Ollama Want to run AI apps on your own machine? This course walks through Qwen and Ollama in a practical way. #localai #ollama #aidevelopment
A people-management course for new team leads Good pick if you lead people - or want to. Learn how to support a team, give clear direction, and help people grow. 64 free places are open. #PeopleManagement #Leadership #HR
❤1
A Google Sheets course for better work Use Sheets every day? This course shows the shortcuts, formulas, and simple systems that make messy work easier. 67 free places are still open. #GoogleSheets #OfficeSkills #Productivity
Build an app without code Got an app idea but coding feels too much right now? This free Bubble course helps you turn an idea into something real. #NoCode #BubbleApp #BuildYourIdea
❤2
Make Excel feel easier If spreadsheets confuse you at work or college, this free course gives you practical Excel skills you will actually keep using. #ExcelSkills #OfficeProductivity #WorkSmarter
Showing the 12 most recent of 128 posts we hold for @Udemy7. 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.
Citation-graph rank
Citation-graph rank — 453,089 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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.
@Udemy_Free_Courses4 · 253,939
Telegram ranks this channel #1 of 35 here — alongside 34 others — read 10 August 2026
@mindluster · 225,001
Telegram ranks this channel #10 of 61 here — alongside 60 others — read 12 August 2026
@Trickyman2 · 155,283
Telegram ranks this channel #15 of 57 here — alongside 56 others — read 12 August 2026
@GreatLearningAcademy · 157,583
Telegram ranks this channel #43 of 83 here — alongside 82 others — read 12 August 2026
@codersworld1 · 151,181
Telegram ranks this channel #49 of 83 here — alongside 82 others — read 12 August 2026
This channel appears in 5 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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Free Udemy Courses” (@Udemy7), 124,271 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Udemy7.
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.