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Linkedin Learning
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Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning
Mostrar más📈 Análisis del canal de Telegram Linkedin Learning
El canal Linkedin Learning (@linkedin_learning) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 217 129 suscriptores, ocupando la posición 388 en la categoría Educación y el puesto 718 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 217 129 suscriptores.
Según los últimos datos del 20 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 252, y en las últimas 24 horas de 5, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 6.70%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.41% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 14 549 visualizaciones. En el primer día suele acumular 3 053 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 14.
- Intereses temáticos: El contenido se centra en temas clave como author, linkedin, linux, javascript, 040k|.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Linkedin Learning
Download and watch Linkedin Learning Courses
📈 Pᴀɪᴅ ᴀᴅs :
https://telega.io/c/linkedin_learning”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 21 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.
217 129
Suscriptores
+524 horas
+267 días
+25230 días
Archivo de publicaciones
217 139
🔅 Real-World GIS
🌐 Author: Jason VanHorn
🔰 Level: Intermediate
⏰ Duration: 4h 17m
🌀
Get practical solutions to real-world GIS challenges.
📗 Topics: Geographic Information Systems
📤 Join Linkedin Learning for more courses217 139
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217 139
🔸 Full description 🔸
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
🔅 Windows 11 AI: Leveraging the New Bundled Apps
🌐 Author: Nick Brazzi
🔰 Level: General
⏰ Duration: 19m
🌀
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.
📗 Topics: Artificial Intelligence for Business, Windows 11
📤 Join @linkedin_learning for more courses217 139
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217 139
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217 139
Building a Video Transcriber with Node.js and Google AI Speech-To-Text API
@Linkedin_Learning
217 139
🔸 Full description 🔸
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
🔅 Building a Video Transcriber with Node.js and Google AI Speech-To-Text API
🌐 Author: Fikayo Adepoju
🔰 Level: Intermediate
⏰ Duration: 1h 9m
🌀
Learn how to transcribe audio from video by integrating Node.js applications with the Google AI Speech-to-Text API.
📗 Topics: Machine Transcription, Artificial Intelligence, Node.js
📤 Join @linkedin_learning for more courses217 139
🔸 Full description 🔸
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
🔅 Building a Video Transcriber with Node.js and OpenAI API
🌐 Author: Fikayo Adepoju
🔰 Level: Intermediate
⏰ Duration: 1h 2m
🌀
Learn how to transcribe audio from video by integrating Node.js applications with the OpenAI Whisper API.
📗 Topics: OpenAI Products, Node.js
📤 Join @linkedin_learning for more courses