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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 217 139 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 217 139 subscribers.
According to the latest data from 21 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 210 over the last 30 days and by -2 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 6.71%. 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 14 571 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 13.
- 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 22 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.
217 139
Subscribers
-224 hours
+27 days
+21030 days
Posts Archive
217 130
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π : English
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πΈ Full description πΈ
How can generative AI be used ethically to enhance and extend a product manager's role across the product lifecycle? In this course, Meta product leader Dr. Marily Nika shares key considerations for using cutting-edge tools from generative AI such as ChatGPT to streamline and manage workflows more effectively in product management.Learn how to leverage AI to help generate new product ideas, validate backlog requests, draft and implement user segmentation and research plans, and create prototypes for product features and components to define a minimum viable product (MVP). Along the way, Marily offers insights on navigating strategic pivots and redefinitions as well as product testing frameworks, marketing content plans, and supplemental product releases.
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Generative AI for Product Managers
π Author: Dr. Marily Nika
π° Level: Beginner + Intermediate
β° Duration: 24m
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Leverage cutting-edge insights for product managers to start using generative AI tools such as ChatGPT to help manage the product lifecycle and process.
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πΈ Full description πΈ
Computer-enhanced artificial intelligence (AI) has been around since the 1950s, but recent hardware innovations have reinvigorated the field. New sensors help machines have more accurate sight, hear sounds, and understand location. Powerful processors can help computers make complex decisions, sort through possibilities, plan outcomes, and learn from mistakes. The possibilities are thrilling; the implications are vast.This course will introduce you to some of the key concepts behind artificial intelligence, including the differences between "strong" and "weak" AI. You'll see how AI has created questions around what it means to be intelligent and how much trust we should put in machines. Instructor Doug Rose explains the different approaches to AI, including machine learning and deep learning, and the practical uses for new AI-enhanced technologies. Plus, learn how to integrate AI with other technology, such as big data, and avoid some common pitfalls associated with programming AI.
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Artificial Intelligence Foundations: Thinking Machines
π Author: Doug Rose
π° Level: Beginner
β° Duration: 1h 36m
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Learn the key concepts behind artificial intelligence (AI), including strong and weak AI, approaches such as machine learning, and practical uses for new AI-enhanced technologies.
π Topics: Machine Learning, Artificial Intelligence
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πΈ Full description πΈ
JSON has become the most common format for data interchange on the web, building from a JavaScript base to a wider set of API platforms. In this course, instructor Sasha Vodnik walks you through using the basic syntax of JSON and applying it in several common implementations to see how you can structure it with schemas and JSON-LD. Sasha begins by making sure you have a thorough understanding of how to build and debug JSON structures. After stepping through how to process JSON data, he shows you a variety of ways to use it. Next, Sasha covers techniques you can use to work with JSON, such as preventing data reuse and returning readable JSON data in JavaScript. He goes over how to create and validate JSON schema and how to work with schema generators. Sasha concludes with a discussion of JSON-LD and how you can use it to explain and map the structure of your data.
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JSON Essential Training
π Author: Sasha Vodnik
π° Level: Beginner
β° Duration: 2h 13m
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Get a one-stop introduction to JSON, the most common format for data interchange on the web.
π Topics: JSON
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