AI Online Course Outline Generator
Inspiration: With the rise of platforms like Teachable and Thinkific, more people want to monetize their knowledge. But going from a topic to a well-structured course outline is the "first hurdle" for many creators.
Target Customers: Domain experts wanting to create online courses (like programmers, designers, marketers), corporate trainers, educators.
Pain Points:
- Curse of Knowledge: Experts know their field well but don't know how to break down complex knowledge into progressive, beginner-friendly modules and lessons.
- Structural Chaos: Course outlines lack logic, leading to poor student learning experiences.
- Time Consuming: Designing a comprehensive course outline requires extensive research and planning.
Solution (Micro-SaaS): An AI tool that helps users design online course outlines. Users input course topics and target student levels, AI generates a clear, detailed course outline including modules, lesson titles, and key knowledge points for each lesson.
MVP Core Features:
- Input:
- Course topic (e.g., "Python Programming for Beginners").
- Target students (e.g., "zero-background workplace newcomers").
- Expected total course duration (e.g., "5 hours").
- AI Outline Generation: AI (LLM) generates complete outline structured as:
- Modules/Sections: e.g., "Module 1: Python Basics," "Module 2: Data Structures."
- Lessons/Lectures: Each module contains multiple lessons, e.g., "Lesson 1.1: Variables and Data Types."
- Key Points: Each lesson has 3-5 core knowledge points, e.g., "What are variables," "Strings, numbers, booleans."
- Editable Outline: Users can adjust module and lesson order, modify titles in a draggable, editable interface.
- Export: Export outline as Word document or PDF.
Development Investment (Technical Implementation): Low. Pure LLM-driven.
- LLM API Calls:
- Core Engine: GPT-4 Turbo or Claude 3 Opus. Prompt is the product's soul - need to guide model to act as "senior course designer" and require following mature instructional design theories (like ADDIE model) to build outlines.
- Hugging Face Open Source Models:
meta-llama/Llama-3-70B-Instruct
can complete this task but may need more detailed instructions or few-shot examples to ensure logical and structural output.