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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 217 232 suscriptores, ocupando la posición 389 en la categoría Educación y el puesto 717 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 217 232 suscriptores.
Según los últimos datos del 22 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 166, y en las últimas 24 horas de 15, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 7.10%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.31% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 15 413 visualizaciones. En el primer día suele acumular 2 837 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 23 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.
217 232
Suscriptores
+1524 horas
+217 días
+16630 días
Archivo de publicaciones
217 230
🔸 Full description 🔸
When you deliberately engage employees through learning, theyre 48% more likely to find purpose in their work. But learning and development need to be intentional—and continual—to succeed. This course explores the core mindsets, key questions, tested approaches, and building blocks to help you create or maintain and drive a learning culture in your organization. Discover why a culture of learning is so beneficial to organizations big and small, how to gain buy-in from the top down, how to embed learning into the flow of work, and how to keep current with learning trends. Instructors and L&D pros Naphtali Bryant and Jason Mulero also help you address some challenges and identify metrics that show the impact of your initiatives.
217 230
🔅 Creating a Culture of Learning
🌐 Author: Naphtali Bryant
🔰 Level: Beginner
⏰ Duration: 37m
🌀
Learn how to foster engagement and establish a sense of purpose in your employees by creating a culture of learning.
📗 Topics: Employee Learning & Development, Organizational Culture
📤 Join @linkedin_learning for more courses217 230
🔅 HTML & CSS: Creating Forms
🌐 Author: Clarissa Peterson
🔰 Level: Beginner
⏰ Duration: 2h 30m
🌀
Get a comprehensive guide to creating usable, accessible, and responsive forms with HTML and CSS.
📗 Topics: Cascading Style Sheets, HTML
📤 Join @webdev_trainings for more courses217 230
Applied AI: Building NLP Apps with Hugging Face Transformers
@Linkedin_Learning
217 230
🔸 Full description 🔸
Looking to expand your skill set in deep learning? Find out how to use Hugging Face transformers to build natural language processing (NLP) applications. In this course, instructor Kumaran Ponnambalam shows you how to build models quickly and easily using pretrained transformers from the Hugging Face library.Explore models designed for common NLP use cases such as question-answering, text summarization, text generation, translation, and more. Kumaran gives you tips for customizing models with transfer learning to meet the needs of specific use cases—improving your performance and lowering your costs along the way. Develop your know-how to identify and overcome common modeling challenges to ensure successful, error-free deployments. By the end of this course, youll be ready to adhere to the best practices and industry standards when you start applying your new skills on the job.
217 230
🔅 Applied AI: Building NLP Apps with Hugging Face Transformers
🌐 Author: Kumaran Ponnambalam
🔰 Level: Intermediate
⏰ Duration: 57m
🌀
Learn how to build natural language processing (NLP) applications with pretrained transformers in Hugging Face, the popular machine learning platform.
📗 Topics: Natural Language Processing, Applied Machine Learning
📤 Join @linkedin_learning for more courses217 230
🔅 No-Code Planning Principles for the Web
🌐 Author: Jen Kramer
🔰 Level: Beginner + Intermediate
⏰ Duration: 32m
🌀
Learn how to design a successful no-code project for the web by planning out your workflow before you even begin.
📗 Topics: Web Design
📤 Join @webdev_trainings for more courses217 230
🔸 Full description 🔸
View Dorie's LinkedIn NewsletterCommunicating effectively isn't an innate talent that some people have and others don't—it's something that anyone can learn and practice. In this course, learn strategies that can help you hone and master your interpersonal communication skills. Join personal branding and career expert Dorie Clark as she shares techniques for getting your message across effectively in the workplace, and explains how to tackle potential communication challenges with your colleagues and supervisor. She also discusses how to grapple with tricky situations, taking you through how to handle interruptions, and respond to critical feedback.
217 230
🔅 Interpersonal Communication
🌐 Author: Dorie Clark
🔰 Level: General
⏰ Duration: 42m
🌀
Learn strategies that can help you master your interpersonal communication skills in the workplace.
📗 Topics: Interpersonal Communication
📤 Join @linkedin_learning for more courses217 230
🔅 Build Three Real-World Python Applications
🌐 Author: Megan Silvey
🔰 Level: Intermediate
⏰ Duration: 2h 27m
🌀
Learn how to build Python applications to solve real-world programming problems.
📗 Topics: Application Development, Python
📤 Join @python_trainings for more courses