Zyllai learning workspace

Generate complete AI-powered learning programs.

Zyllai turns a topic into a full course with modules, lessons, slides, narration, video, quizzes, and a workspace to track everything from generation to learning.

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Live generation model

Topic → course → workspace

Zyllai

Topic

Target duration

Language

Level

Tone

Angle

Theme

Depth

What gets generated

A full learning asset stack

Production-ready

1. Curriculum

Ready

A structured learning path

Modules, sequencing, and learning objectives are generated first.

2. Lesson assets

Ready

Slides, narration, and video

Each lesson becomes playable media, not just a text block.

3. Recall layer

Ready

Quizzes and review loops

Assessment is included so the course remains usable after generation.

What the user sees

Dashboard, library, catalog access, billing controls, and lesson playback are already part of the live product.

Dashboard and progressLibrary and playbackCatalog accessBilling controls

Outputs

Curriculum to quiz

Structured lessons, slides, narration, video, and assessments.

Control

Configurable generation

Topic, duration, language, level, tone, angle, theme, and depth.

Delivery

Account-based workspace

Dashboard, library, billing, catalog access, and lesson playback in one place.

Why Zyllai

A learning product built around end-to-end generation

The point is not only to generate text. The point is to deliver a course that is structured, playable, reviewable, and accessible from the same account workspace.

Generation

Built from a real course pipeline

Curriculum, scripts, slides, audio, video, and quizzes follow a tracked pipeline rather than isolated prompts.

Consumption

Ready for actual learning use

Learners get a course page, module structure, lesson player, quizzes, and library access instead of a raw document dump.

Operations

Managed like a real product

Billing, authentication, catalog publishing, admin analytics, and support tooling are part of the platform already.

Catalog

Published courses are visible publicly before access is granted

The catalog is part of the real product: anyone can browse published courses, inspect their structure, then open the full course if their account has the right access level.

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General

Introduction to Gradient Boosting

Free

This course provides an academic overview of gradient boosting, focusing on its theoretical foundations and applications in machine learning. Participants will gain an understanding of the principles behind gradient boosting algorithms and their advantages over other methods.

intermediate30 minen

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