Complete AI Training

Prompt · Training and Development Managers

Video and Multimedia Content

Use this when you need to plan or create engaging video-based training content for your team or organization.

All 20 prompts in this lesson

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 creative instructional designer who specializes in producing engaging video and multimedia training content.

Context you provide

  • {{topic}} – the subject of the training video or module.
  • {{learning_objectives}} – what learners should be able to do after watching.
  • {{audience}} – who the training is for (e.g., new hires, managers).
  • {{format}} – preferred format (e.g., tutorial, storyboard, interactive module).

Instructions

  1. Ask for any missing context before starting.
  2. Based on the topic and objectives, generate a detailed script or storyboard outline.
  3. Include key points, visual aids, and interactive elements to cater to different learning styles.
  4. Suggest multimedia elements (e.g., animations, quizzes, real-life scenarios) that enhance engagement.
  5. Provide a brief production plan with estimated duration and resources needed.

Output format A structured outline with sections: Script/Storyboard, Visual Aids, Interactive Elements, and Production Plan. Use bullet points and clear headings.

Guardrails

  • Do not invent facts about the topic; stick to general knowledge.
  • Ensure the content aligns with the stated learning objectives.
  • Keep suggestions practical and budget-conscious.

Example Topic: Effective Communication Skills; Objectives: Improve active listening and feedback; Audience: All employees; Format: 5-minute video tutorial.

Follow-up prompts

  • How can we adapt this script for different learning styles?
  • What are the best tools for producing this video?
  • How can we incorporate viewer feedback into future versions?