MB.
Experimental

AI Course Experiments

Explorations in AI-assisted course production: avatars, generated content, video workflows, and automated learning systems.

Project AI Course Experiments
Status Experimental
Last Updated April 2025
Key Tags AI, Education, Automation

Overview

A collection of experiments exploring how AI tools can accelerate and scale educational content production.

Experiments

AI Avatar Production

Exploring AI-generated instructor avatars for delivering course content without traditional video production overhead. Testing tools like HeyGen and similar platforms.

AI-Assisted Scriptwriting

Using LLMs to draft, refine, and structure course scripts from raw knowledge input. The goal is to compress the content creation cycle while maintaining quality and depth.

Automated Video Workflows

Building automated pipelines that take structured content input and produce finished educational video segments with minimal manual intervention.

Knowledge-to-Course Conversion

Experiments converting raw notes, documents, and resources into structured course outlines and lesson plans automatically.

Key Insight

The bottleneck in course production is not knowledge — it is the translation of knowledge into a consistent, accessible format. AI can compress this translation layer significantly, freeing the creator to focus on depth and quality rather than production mechanics.

Status

Ongoing experimental work. Documenting results in the Notes section.

← All Projects Markus Berlit