آموزش مهارت محور برنامه نویسی و هوش مصنوعی
بیش از ۴۰۰ هزار دانشجوی بوتکمپ شاتل
بیش از ۸۰ دوره آموزشی تخصصی
تدریس صفر تا صد بدون نیاز به پیش نیاز
همراه با منتورینگ تخصصی و شخصی در حین دوره
☎️شماره تماس:
02146124903
📞 ارتباط با ادمین:
@aiolearn_poshtibani
Created
Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 8 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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
42 measurements spanning 71 days, net -6,289. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 157,497–165,672 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 42
Measured (UTC)
Subscribers
Change
15 Oct 2026, 16:49
158,440
-70
14 Oct 2026, 17:17
158,510
-159
13 Oct 2026, 08:10
158,669
-275
9 Oct 2026, 02:02
158,944
-360
4 Oct 2026, 18:15
159,304
-709
26 Sept 2026, 18:39
160,013
-601
19 Sept 2026, 13:01
160,614
-205
17 Sept 2026, 01:39
160,819
-107
15 Sept 2026, 01:40
160,926
-187
13 Sept 2026, 09:58
161,113
-134
11 Sept 2026, 16:21
161,247
-279
9 Sept 2026, 03:36
161,526
-249
5 Sept 2026, 18:19
161,775
-178
3 Sept 2026, 15:14
161,953
-105
2 Sept 2026, 09:34
162,058
-80
1 Sept 2026, 08:52
162,138
-131
31 Aug 2026, 06:44
162,269
-54
30 Aug 2026, 08:26
162,323
-81
29 Aug 2026, 08:34
162,404
-95
28 Aug 2026, 11:42
162,499
first reading
Engagement
393 posts held, back to 3 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 144 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.21%
avg views ÷ 158,440 subscribers
Avg views / post
3,490
132 posts measured
Reaction rate
0.585%
reactions ÷ views · ER floor
Posts in window
132
of 393 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 15 October 2026
Posts held
393 (3 August 2026 – 15 October 2026)
Views total
461,250
Reactions total
2,700
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Oct 2026, 23:44 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
≈2,760
Videos
≈2,420
Links
≈1,740
Lifetime counters from Telegram’s own channel header, read 15 October 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.
Video runtime
25m 30s
Average length
31s
Measured directly from 49 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
6,929 reactions across 385 posts, in 9 distinct kinds. The most used accounts for 57.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,991
57.6%
❤🔥
818
11.8%
😁
565
8.15%
🤯
358
5.17%
👏
344
4.96%
😍
321
4.63%
💯
263
3.80%
🔥
236
3.41%
🤣
33
0.476%
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 393 of the 393 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 7,029 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 393 most recent posts we hold, published 3 August 2026 to 15 October 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.
Telegram Stars
Stars received
7
across the posts below
Posts paid on
7
of 393 we hold a reading for · 2%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @aiolearn. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 393 most recent posts we hold for this entry, published 3 August 2026 to 15 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
چرا باید برنامهنویسی و هوشمصنوعی رو تو آیولرن یاد بگیریم؟🤔
▪️آموزش آنلاین و حضوری در شعب مختلف آیولرن در تهران
▪️ آموزش آفلاین در اپلیکیشن اختصاصی آیولرن
▪️ برگزاری کالج و مدرسه تخصصی برنامهنویسی و هوش مصنوعی
▪️ منتورینگ و پشتیبانی فنی بر اساس رودمپهای حرفهای
▪️راهنمایی دانشجویان جهت شرکت در مسابقات بینالمللی
▪️ تمرکز بر یادگیری مهارتمحور و پروژهمحور
💥 برای دریافت مشاوره و شرکت در دورههای پروژه محور …
🥽 اپل اولین فیلم ترسناک مخصوص Vision Pro رو معرفی کرد!
🔹 فیلم «Remnants» با کیفیت 8K، زاویه دید ۱۸۰ درجه و صدای فضایی ساخته شده تا تجربه ترس رو برای مخاطب واقعیتر کنه.
🔹 نکته جالب اینه که اپل توی اولین تریلر، بهجای اینکه داستان فیلم رو نشون بده، بیشتر روی واکنش افرادی تمرکز کرده که با هدست Vision Pro مشغول تماشای فیلم بودن!
📅 این فیلم قراره فردا ۱۶ اکتبر منتشر بشه.
#اخبار_تکنولوژی
خب کوئیز امروز هم تموم شد!
آفرین به اونایی که هر سه تا رو درست زدن! همینجوری ادامه بدین💙
اگه سؤالها براتون سخته، بد نیست یه کم بیشتر برای یادگیری برنامهنویسی وقت بذارید چون حالا حالاها کوئیز دارم براتون!😁
برای شروع یادگیری هم میتونی شمارت رو اینجا ثبت کنی تا منتورها راهنماییت کنن. 💙
✨ شروع مسیر یادگیری برنامهنویسی
🎮 پروژه جدید ایلان ماسک؛ هوش مصنوعیای که گیمره!
ایلان ماسک از پیشرفت جدید هوش مصنوعی شرکت xAI خبر داده!
سیستمی به اسم Digital Optimus که میتونه مثل یک بازیکن واقعی، محیط بازی رو ببینه، تصمیم بگیره و مراحل رو پشت سر بذاره.
طبق گفته ماسک، این هوش مصنوعی تونسته تقریبا نیمی از مراحل داستانی بازی Diablo رو فقط با تحلیل تصاویر صفحه پیش ببره!
عملکرد خوبی هم در Counter-Strike داشته و حالا آموزش اون برای بازی League of …
خب امروزم با مفاهیم مهمی آشنا شدیم و متوجه شدیم هوش مصنوعی، فقط چت کردن و تولید عکس نیست! 😎
توی آیولرن میتونی از پایه شروع کنی و با کمک منتورها، در کنار مفاهیم تئوری، پروژههای واقعی هوشمصنوعی بسازی.
برای شروع، شمارت رو تو لینک پایین ثبت کن تا منتورها راهنماییت کنن! 😉💙
شروع مسیر یادگیری هوشمصنوعی
🔹 یکی دیگه از شاخههای هوش مصنوعی هم، NLP یا پردازش زبان طبیعی هست که به کامپیوتر کمک میکنه زبان انسان رو پردازش کنه، بفهمه و تولید کنه.
مثلا وقتی با ChatGPT چت میکنی، از مترجمهای هوشمند استفاده میکنی یا یه سیستم احساسات مثبت و منفی متن رو تشخیص میده، با کاربردهای NLP سروکار داری.
پس NLP بیشتر با متن و زبان انسان ارتباط داره، نه پیدا کردن ماشین و آدم توی عکس! 😂
تفاوتش با Image Classification چیه؟
🔹 معمولا Image Classification مشخص میکنه یه تصویر متعلق به چه دستهایه.
🔹 Object Detection علاوه بر شناسایی نوع اشیا، محل قرارگیری اونها رو هم مشخص میکنه.
از این فناوری توی سیستمهای کمکراننده، دوربینهای هوشمند و خیلی از پروژههای بینایی ماشین استفاده میشه.😎
جواب درست Object Detection هست! ✅
توی هوش مصنوعی، تشخیص اشیا یعنی مدل بتونه اشیای مختلف رو داخل یه تصویر شناسایی کنه و موقعیتشون رو هم مشخص کنه.
مثلا توی یه عکس خیابون، ماشینها، آدمها و دوچرخهها رو پیدا کنه و دور هرکدوم کادر بکشه.
❤5❤🔥5👏1💯1
Showing the 12 most recent of 393 posts we hold for @aiolearn. 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.
Posts edited after publishing
@aiolearn edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
5 October 2026
Most recent edit
5 October 2026
Polls
The 6 most recent of 27 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
اگه برای آموزش مدل، از ایمیلهایی استفاده کنی که از قبل مشخص شده کدوما اسپم هستن و کدوما نیستن، از چه نوع یادگیری استفاده کردی؟
یادگیری نظارتشده75%
یادگیری بدون نظارت12%
یادگیری تقویتی14%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 393 most recent posts we hold, published 3 August 2026 to 15 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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.
Read from Telegram’s recommendation API, most recently 24 August 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.
Maedetech | برنامه نویسی | هوش مصنوعی @maedetech · 35,468 Telegram ranks this channel #1 of 61 here — alongside 60 others — read 1 September 2026
دوره شاتل آیولرن 🚀 هوش مصنوعی و برنامه نویسی @aiolearn_academy · 39,758 Telegram ranks this channel #1 of 57 here — alongside 56 others — read 30 August 2026
آوانگارد | هوشمندسازی مشاغل (AI) @arefehmasoudy · 23,224 Telegram ranks this channel #2 of 83 here — alongside 82 others — read 18 September 2026
علی سیاه کلاه | Ali Siahkolah @alisiahkolah · 30,011 Telegram ranks this channel #8 of 75 here — alongside 74 others — read 18 September 2026
موبیکس Mobix آموزش هوش مصنوعی تکنولوژی @mobix_tube · 26,447 Telegram ranks this channel #12 of 61 here — alongside 60 others — read 11 September 2026
برنامه نویسی با ai @mohsenmodhejaip · 46,220 Telegram ranks this channel #12 of 82 here — alongside 81 others — read 26 August 2026
پولسازی با هوشمصنوعی @polsazi_abbasi · 20,784 Telegram ranks this channel #19 of 79 here — alongside 78 others — read 29 September 2026
عصر گویش | هوش مصنوعی @asrgooyeshpardaz · 100,046 Telegram ranks this channel #19 of 89 here — alongside 88 others — read 24 August 2026
سبقت از تورم با فرشید فرخی @farshid_io · 309,125 Telegram ranks this channel #22 of 76 here — alongside 75 others — read 24 August 2026
💵 پولسازی با طراحی سایت Ai @mohamadian_web · 20,305 Telegram ranks this channel #24 of 64 here — alongside 63 others — read 25 September 2026
هوش مصنوعی [ AI ] @iFutureAI · 42,992 Telegram ranks this channel #25 of 89 here — alongside 88 others — read 28 August 2026
آموزش <HTML> </HTML> @HTML_Developers · 27,730 Telegram ranks this channel #27 of 85 here — alongside 84 others — read 10 September 2026
برنامه نویسی پایتون | هوش مصنوعی | دیتاساینس @persianovin_channel · 19,051 Telegram ranks this channel #29 of 90 here — alongside 89 others — read 4 October 2026
هوش مصنوعی | AI @AI_University · 32,120 Telegram ranks this channel #40 of 83 here — alongside 82 others — read 5 September 2026
آموزش کسب درآمد دلاری از هوش مصنوعی @webmastermentor · 21,613 Telegram ranks this channel #62 of 77 here — alongside 76 others — read 29 September 2026
This channel appears in 15 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 15 October 2026 — this
entry's latest reading, not the date you are reading this.
“آکادمی آیولرن | هوش مصنوعی و برنامه نویسی” (@aiolearn), 158,440 subscribers as measured 15 October 2026. Telegram Register, tgregister.com/channel/aiolearn.
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.