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Prompt

Create Weekly Topic Breakdown

Use this when you need to spread course topics across a set number of weeks.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. 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

  1. Ask for any missing inputs, then confirm weeks, sessions and constraints before drafting.
  2. Order topics from foundational to applied, noting prerequisites.
  3. Distribute topics across weeks with sessions and estimated time per topic.
  4. Place assessment points and review or catch-up weeks without crowding new content.
  5. Flag topics that cannot fit and suggest what to trim, merge or move.
  6. 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.