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Linkedin Learning
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Linkedin Learning Download and watch Linkedin Learning Courses π Pα΄Ιͺα΄ α΄α΄ s : https://telega.io/c/linkedin_learning
Show moreπ Analytical overview of Telegram channel Linkedin Learning
Channel Linkedin Learning (@linkedin_learning) in the English language segment is an active participant. Currently, the community unites 217 129 subscribers, ranking 388 in the Education category and 718 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 217 129 subscribers.
According to the latest data from 20 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 252 over the last 30 days and by 5 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 6.70%. Within the first 24 hours after publication, content typically collects 1.41% reactions from the total number of subscribers.
- Post reach: On average, each post receives 14 549 views. Within the first day, a publication typically gains 3 053 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 14.
- Thematic interests: Content is focused on key topics such as author, linkedin, linux, javascript, 040k|.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βLinkedin Learning
Download and watch Linkedin Learning Courses
π Pα΄Ιͺα΄
α΄α΄
s :
https://telega.io/c/linkedin_learningβ
Thanks to the high frequency of updates (latest data received on 21 June, 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.
217 129
Subscribers
+524 hours
+267 days
+25230 days
Posts Archive
217 139
π
Real-World GIS
π Author: Jason VanHorn
π° Level: Intermediate
β° Duration: 4h 17m
π
Get practical solutions to real-world GIS challenges.
π Topics: Geographic Information Systems
π€ Join Linkedin Learning for more courses217 139
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217 139
πΈ Full description πΈ
Many apps that come bundled with Windows 11 have been supercharged with AI. Join instructor Nick Brazzi as he walks you through the powerful AI features available for Windows 11 users. Youll learn how AI can add depth to pictures in the Microsoft Photos and automatically edit your videos in Clipchamp. Nick shows how AI can recognize and copy or redact text from screenshots using the Snipping Tool. Finally, youll learn how AI can compose new pictures in Microsoft Paint based on your descriptions.
217 139
π
Windows 11 AI: Leveraging the New Bundled Apps
π Author: Nick Brazzi
π° Level: General
β° Duration: 19m
π
Many apps that come bundled with Windows 11 have been supercharged with AI tools. Learn how to use AI to add depth to photos, edit video projects, and more.
π Topics: Artificial Intelligence for Business, Windows 11
π€ Join @linkedin_learning for more courses217 139
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217 139
Building a Video Transcriber with Node.js and Google AI Speech-To-Text API
@Linkedin_Learning
217 139
πΈ Full description πΈ
Formerly complicated tasks like audio transcription for videos have become much simpler thanks to the rise of APIs like Google's Speech-to-Text. But while this exciting new tool can handle transcription, if you want to transcribe a lot of audio, your code still needs to set up connections and authentication and pipe the information back and forth. In this course, instructor Fikayo Adepoju shows you how to integrate Node.js applications with Google AI Speech-to-Text. Learn how to set up Google AI Speech-to-Text, build the video transcriber interface, develop the back end and connect to the AI, and then bring it all together.This course is designed for intermediate and advanced developers interested in the future of development with generative AI and the integration of applications with AI models.
217 139
π
Building a Video Transcriber with Node.js and Google AI Speech-To-Text API
π Author: Fikayo Adepoju
π° Level: Intermediate
β° Duration: 1h 9m
π
Learn how to transcribe audio from video by integrating Node.js applications with the Google AI Speech-to-Text API.
π Topics: Machine Transcription, Artificial Intelligence, Node.js
π€ Join @linkedin_learning for more courses217 139
πΈ Full description πΈ
Formerly complicated tasks like audio transcription for videos have become much simpler thanks to the rise of APIs like OpenAI's Whisper. But while this exciting new tool can handle transcription, if you want to transcribe a lot of audio, your code still needs to set up connections and authentication and pipe the information back and forth. In this course, instructor Fikayo Adepoju shows you how to integrate Node.js applications with the OpenAI Whisper API. Learn how to set up OpenAI API access, build the video transcriber interface, develop the back end and connect to the AI, and then bring it all together.This course is designed for intermediate and advanced developers interested in the future of development with generative AI and the integration of applications with AI models.
217 139
π
Building a Video Transcriber with Node.js and OpenAI API
π Author: Fikayo Adepoju
π° Level: Intermediate
β° Duration: 1h 2m
π
Learn how to transcribe audio from video by integrating Node.js applications with the OpenAI Whisper API.
π Topics: OpenAI Products, Node.js
π€ Join @linkedin_learning for more courses