How does SabLearning work with YouTube videos?

SabLearning transforms any YouTube video into a trackable learning course. Simply search for videos using our advanced filters or paste a YouTube URL. The platform automatically organizes the content, allowing you to take timestamped notes that sync to the cloud, track your progress in a comprehensive dashboard, and build a structured learning path from scattered YouTube content.

Can I take notes while watching videos?

Absolutely! SabLearning features a powerful timestamped notes system that syncs automatically to the cloud. Take notes at any moment during a video, and they'll be linked to the exact timestamp for easy reference. Your notes are accessible across all your devices and are backed up securely in the cloud.

Do I need to create an account to use SabLearning?

You can explore SabLearning and try most features without an account using our offline-first approach. Your progress and notes are stored locally in your browser. However, creating a free account unlocks cross-device synchronization, cloud backup, and access to your learning data from anywhere. Account creation is quick and only requires a Google login.

What are learning paths and how do they work?

Learning paths made by experts that turn YouTube videos into organized learning experiences. Each path has videos and playlists in order to help you learn skills from basic to expert level. Browse our collection of pre-built paths or create your own custom learning paths by combining videos and playlists, then share them with others for structured, progressive learning.

Is SabLearning free to use?

Yes! SabLearning is completely free for individual learners — forever. All core features (timestamped notes, progress tracking, learning paths, certificates) are available at no cost, with no hidden fees or paywalls. We're working on hybrid paths that combine YouTube videos with website docs for even better learning. For educators, bootcamps, and organizations, we'll offer optional paid plans with classrooms, group tracking, and team analytics. Individuals always stay free.

Lecture 1 - Introduction to Machine Learning | UofA CMPUT267: Machine Learning I (Fall 2024)

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