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Coding Learning

Coding Learning

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šŸ“ˆ Analytical overview of Telegram channel Coding Learning

Channel Coding Learning (@codingdrive) in the English language segment is an active participant. Currently, the community unites 14 101 subscribers, ranking 14 511 in the Education category and 28 163 in the India region.

šŸ“Š Audience metrics and dynamics

Since its creation on невіГомо, the project has demonstrated rapid growth, gathering an audience of 14 101 subscribers.

According to the latest data from 27 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 243 over the last 30 days and by 7 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 14.99%. Within the first 24 hours after publication, content typically collects 3.35% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 113 views. Within the first day, a publication typically gains 473 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 6.
  • Thematic interests: Content is focused on key topics such as implementation, llm, dive, autogen, structure.

šŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
ā€œBackupā€

Thanks to the high frequency of updates (latest data received on 28 October, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

14 101
Subscribers
+724 hours
+337 days
+24330 days
Posts Archive
+3
08. [Optional] Add Subscription - Payments to your App - Part 01

+4
07. Deploy Your AI Agent App - Part 01

+3
06. Application Using Agents for Stock Analysis - Part 01

+9
05. AutoGen Chat Structures - Part 01

+1
04. LLM Agents Implementation Continued - Part 01

+1
03. [Optional] Running Open Source LLMs Locally (Free) instead of OpenAI's ChatGPT - Part 01

+4
02. LLM Agents Implementation (with OpenAI's ChatGPT) - Part 01

+1
01. Intro to LLM Agents - Part 01

šŸ”° AI Agents: Building Teams of LLM Agents that Work For You 🌟 4.6 - 400 votes šŸ’° Original Price: $43.99 šŸ“– AutoGen, ChatGPT
šŸ”° AI Agents: Building Teams of LLM Agents that Work For You 🌟 4.6 - 400 votes šŸ’° Original Price: $43.99
šŸ“– AutoGen, ChatGPT API, Streamlit, Google Cloud, build and deploy LLM AI Agents based apps (locally or at scale)
šŸ”Š Taught By: Mohsen Hassan, Ilyass Tabiai, PhD šŸ“¤ Download Full Course šŸ“¤ Download All Courses

Repost from Coding Courses
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10 - LLMs Implementation - Part 03

10 - LLMs Implementation - Part 02

10 - LLMs Implementation - Part 01

09 - LLMs Intuition

08 - A3C Implementation - Part 04

08 - A3C Implementation - Part 03

08 - A3C Implementation - Part 02

08 - A3C Implementation - Part 01

07 - A3C Intuition