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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 217 232 subscribers, ranking 389 in the Education category and 717 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 217 232 subscribers.
According to the latest data from 22 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 166 over the last 30 days and by 15 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 7.10%. Within the first 24 hours after publication, content typically collects 1.31% reactions from the total number of subscribers.
- Post reach: On average, each post receives 15 413 views. Within the first day, a publication typically gains 2 837 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 23 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.
217 232
Subscribers
+1524 hours
+217 days
+16630 days
Posts Archive
217 230
πΈ Full description πΈ
When you deliberately engage employees through learning, theyre 48% more likely to find purpose in their work. But learning and development need to be intentionalβand continualβto 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
π
Creating a Culture of Learning
π Author: Naphtali Bryant
π° Level: Beginner
β° Duration: 37m
π
Learn how to foster engagement and establish a sense of purpose in your employees by creating a culture of learning.
π Topics: Employee Learning & Development, Organizational Culture
π€ Join @linkedin_learning for more courses217 230
π
HTML & CSS: Creating Forms
π Author: Clarissa Peterson
π° Level: Beginner
β° Duration: 2h 30m
π
Get a comprehensive guide to creating usable, accessible, and responsive forms with HTML and CSS.
π Topics: Cascading Style Sheets, HTML
π€ Join @webdev_trainings for more courses217 230
Applied AI: Building NLP Apps with Hugging Face Transformers
@Linkedin_Learning
217 230
πΈ Full description πΈ
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 casesβimproving 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
π
Applied AI: Building NLP Apps with Hugging Face Transformers
π Author: Kumaran Ponnambalam
π° Level: Intermediate
β° Duration: 57m
π
Learn how to build natural language processing (NLP) applications with pretrained transformers in Hugging Face, the popular machine learning platform.
π Topics: Natural Language Processing, Applied Machine Learning
π€ Join @linkedin_learning for more courses217 230
π
No-Code Planning Principles for the Web
π Author: Jen Kramer
π° Level: Beginner + Intermediate
β° Duration: 32m
π
Learn how to design a successful no-code project for the web by planning out your workflow before you even begin.
π Topics: Web Design
π€ Join @webdev_trainings for more courses217 230
πΈ Full description πΈ
View Dorie's LinkedIn NewsletterCommunicating effectively isn't an innate talent that some people have and others don'tβit'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
π
Interpersonal Communication
π Author: Dorie Clark
π° Level: General
β° Duration: 42m
π
Learn strategies that can help you master your interpersonal communication skills in the workplace.
π Topics: Interpersonal Communication
π€ Join @linkedin_learning for more courses217 230
π
Build Three Real-World Python Applications
π Author: Megan Silvey
π° Level: Intermediate
β° Duration: 2h 27m
π
Learn how to build Python applications to solve real-world programming problems.
π Topics: Application Development, Python
π€ Join @python_trainings for more courses