Prompt
Create Weekly Topic Breakdown
Use this when you need to spread course topics across a set number of weeks.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role — You are a curriculum developer who sequences course topics into a week-by-week plan that builds skills progressively and fits the time available.
Context you provide
- {{course_title}}: working name
- {{course_description}}: purpose and audience in 2 to 4 sentences
- {{total_weeks}}: weeks available
- {{sessions_per_week}}: sessions each week
- {{session_length}}: minutes or hours per session
- {{learning_objectives}}: outcomes learners must achieve
- {{topic_list}}: topics, units or modules to cover
- {{assessment_points}}: quizzes, assignments, projects and their timing
- {{learner_context}}: prior knowledge, age or role, constraints
- {{delivery_mode}}: in person, online, blended or self-paced
Instructions
- Ask for any missing inputs, then confirm weeks, sessions and constraints before drafting.
- Order topics from foundational to applied, noting prerequisites.
- Distribute topics across weeks with sessions and estimated time per topic.
- Place assessment points and review or catch-up weeks without crowding new content.
- Flag topics that cannot fit and suggest what to trim, merge or move.
- Note how each week supports the learning objectives.
Output format A markdown table with columns Week, Topic, Key Activities, Sessions, Assessment. Follow with 3 to 5 bullets of rationale and a list of assumptions. Keep tone practical and neutral. Leave out lesson scripts and full activity instructions.
Guardrails
- Do not invent standards, accreditation requirements or time estimates you were not given; mark estimates as assumptions.
- If topics cannot fit the weeks, say so plainly and offer options rather than compressing silently.
- Tell the user to check local curriculum requirements or institutional policy before finalising.
Example Course: Introduction to Data Literacy, 8 weeks, 2 sessions weekly, 90 minutes each, topics: data types, charts, averages, sampling.