ChatGPT Online Course Curriculum Designer Prompt
Design a complete online course curriculum with modules, lessons, assignments, and learning outcomes.
Category
📚 Education
Difficulty
Intermediate
Models
3
Last Updated
2026-06-28
Works with
📄 Example output
⚠️ Common Mistakes
❓ FAQ
⚙️ Fill in your variables
📋 Prompt
You are an instructional designer with 15+ years building online courses for platforms like Udemy, Coursera, and custom LMS.
Course topic: [course topic]
Target learner: [target learner — experience level, job role, goal]
Platform: [platform — Udemy/Teachable/Kajabi/custom LMS/YouTube]
Course length: [course length — 2 hours/4 hours/8 hours/10+ hours]
Task: Design a complete course curriculum:
1. COURSE OVERVIEW:
- Transformation promise: what the learner can do after that they couldn't before
- Prerequisites
- Unique angle vs. other courses on this topic
2. LEARNING OUTCOMES (5–7):
'By the end of this course, learners will be able to [verb]...'
Use Bloom's taxonomy verbs at appropriate levels
3. MODULE STRUCTURE (5–8 modules):
For each module:
- Module title
- Module learning outcome
- 3–5 lessons with titles
- Assignment or exercise
- Estimated duration
4. LESSON TYPES MIX:
Recommend the ratio of: video lecture / screen recording / quiz / exercise / case study
5. ASSESSMENTS:
- Formative: 1 quiz per module
- Summative: final project brief
6. LAUNCH PACKAGE:
- Course title (7 options for A/B testing)
- Subtitle (keyword-rich)
- Who this is for (3 bullet points)
- What you'll learn (8 bullet points)
Course topic: [course topic]
Target learner: [target learner — experience level, job role, goal]
Platform: [platform — Udemy/Teachable/Kajabi/custom LMS/YouTube]
Course length: [course length — 2 hours/4 hours/8 hours/10+ hours]
Task: Design a complete course curriculum:
1. COURSE OVERVIEW:
- Transformation promise: what the learner can do after that they couldn't before
- Prerequisites
- Unique angle vs. other courses on this topic
2. LEARNING OUTCOMES (5–7):
'By the end of this course, learners will be able to [verb]...'
Use Bloom's taxonomy verbs at appropriate levels
3. MODULE STRUCTURE (5–8 modules):
For each module:
- Module title
- Module learning outcome
- 3–5 lessons with titles
- Assignment or exercise
- Estimated duration
4. LESSON TYPES MIX:
Recommend the ratio of: video lecture / screen recording / quiz / exercise / case study
5. ASSESSMENTS:
- Formative: 1 quiz per module
- Summative: final project brief
6. LAUNCH PACKAGE:
- Course title (7 options for A/B testing)
- Subtitle (keyword-rich)
- Who this is for (3 bullet points)
- What you'll learn (8 bullet points)
COURSE: AI Prompt Engineering for Content Marketers
TRANSFORMATION PROMISE:
'Before this course, you use AI and cross your fingers. After this course, you know exactly which prompt structure to use for every content task — and you get professional-quality output the first time, consistently.'
LEARNING OUTCOMES:
1. Design (Bloom's: Create) multi-component prompts using the RCTFE framework
2. Select (Bloom's: Evaluate) the appropriate AI model for different content tasks
3. Build (Bloom's: Create) a personal prompt library of 20+ reusable templates
4. Debug (Bloom's: Analyse) prompts that produce poor output by identifying the missing component
5. Produce (Bloom's: Create) SEO-optimised articles, email campaigns, and ad copy using AI
MODULE STRUCTURE:
MODULE 1: Why Your AI Prompts Aren't Working (and the fix) | 30 min
Learning outcome: Diagnose why a prompt produces poor output
Lessons:
1.1 The anatomy of a poor prompt (10 min video)
1.2 The RCTFE framework — your new default (12 min video + worksheet)
1.3 Before/after: rewriting 5 real prompts live (8 min screen recording)
Assignment: Rewrite 3 prompts from your own content workflow using RCTFE
MODULE 2: Writing AI Prompts for Blog and SEO Content | 50 min
...
COURSE TITLE OPTIONS (for Udemy A/B testing):
1. 'AI Prompt Engineering for Content Marketers: Get Pro Output Every Time'
2. 'The Content Marketer's Guide to AI Prompts That Actually Work'
3. 'Master AI Prompts for Marketing: ChatGPT, Claude & Gemini'
4. 'Stop Getting Mediocre AI Content: A Prompt Engineering Course for Marketers'
TRANSFORMATION PROMISE:
'Before this course, you use AI and cross your fingers. After this course, you know exactly which prompt structure to use for every content task — and you get professional-quality output the first time, consistently.'
LEARNING OUTCOMES:
1. Design (Bloom's: Create) multi-component prompts using the RCTFE framework
2. Select (Bloom's: Evaluate) the appropriate AI model for different content tasks
3. Build (Bloom's: Create) a personal prompt library of 20+ reusable templates
4. Debug (Bloom's: Analyse) prompts that produce poor output by identifying the missing component
5. Produce (Bloom's: Create) SEO-optimised articles, email campaigns, and ad copy using AI
MODULE STRUCTURE:
MODULE 1: Why Your AI Prompts Aren't Working (and the fix) | 30 min
Learning outcome: Diagnose why a prompt produces poor output
Lessons:
1.1 The anatomy of a poor prompt (10 min video)
1.2 The RCTFE framework — your new default (12 min video + worksheet)
1.3 Before/after: rewriting 5 real prompts live (8 min screen recording)
Assignment: Rewrite 3 prompts from your own content workflow using RCTFE
MODULE 2: Writing AI Prompts for Blog and SEO Content | 50 min
...
COURSE TITLE OPTIONS (for Udemy A/B testing):
1. 'AI Prompt Engineering for Content Marketers: Get Pro Output Every Time'
2. 'The Content Marketer's Guide to AI Prompts That Actually Work'
3. 'Master AI Prompts for Marketing: ChatGPT, Claude & Gemini'
4. 'Stop Getting Mediocre AI Content: A Prompt Engineering Course for Marketers'
🏆
💡 Pro Tips
Best model for this prompt
Claude
Claude (Opus 4 / Sonnet 4)
The transformation promise is more important than the course outline — people buy outcomes, not modules
Lesson length sweet spot for Udemy/online platforms: 5–12 minutes per video. Under 5 minutes feels thin; over 15 minutes loses attention
Every module needs an assignment — passive watching doesn't create skill; practice does
Udemy's algorithm rewards completion rate — design for completion by keeping early modules shorter and more immediately valuable
Covering too much — a focused course that transforms students in one area beats a comprehensive course that overwhelms them
All lectures, no exercises — skill development requires practice; build exercises into every module
Not defining prerequisites clearly — students who start without the right background leave bad reviews
Course title optimised for search but not for the student — 'Advanced Neural Network Architectures' misses the customer who searches 'how to build AI'
- How long should an online course be?Long enough to achieve the transformation promise, short enough to be completed. For Udemy: 2–5 hours is the sweet spot for most topics. For premium courses sold directly: 10–30 hours is common. Completion rate drops significantly above 5 hours on most platforms.
- Should I record audio-only or video?For screen-based content (software tutorials, coding, design): screen recording with voiceover. For concept-heavy content: talking head video + slides. For pure theory: slides + voiceover can work. Audio quality matters more than video quality — invest in a good microphone first.
- Which AI model is best for course design?Claude is strongest for curriculum design — it maintains pedagogical coherence across modules, writes well-structured learning outcomes at appropriate Bloom's levels, and produces realistic time estimates. Gemini is useful for researching what competing courses cover.
- Should I launch with all content or in batches?Launch with complete content for a premium course (students expect it). Launch with a 'founding member' batch model if you're validating demand first. Udemy requires minimum content before publishing. Either way, outline the full curriculum before recording to ensure coherence.