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Prompt Engineering training

Seven microlessons on writing prompts that get better results from ChatGPT, Claude and Gemini, from the B.E.A.R.S. framework to Chain of Thought.

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Prompt Engineering Fundamentals course preview
7Short, TikTok-style microlessonsIn the browser or the iOS and Android apps

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About this course

What the Prompt Engineering course covers

This course covers prompt engineering in seven microlessons. It's built for anyone who uses AI tools at work, and covers proven frameworks such as B.E.A.R.S. and SAGE+, Chain of Thought reasoning, chain prompting, Tree of Thought and prompt templates that make the model plan and check its work.

Learning outcomes

What your people will be able to do

  • Use the B.E.A.R.S. framework to write concise, context-rich prompts
  • Build SAGE+ prompts with context, action, goal and refinements
  • Ask for step-by-step Chain of Thought reasoning
  • Design multi-step chain prompting workflows
  • Generate and rank options with Tree of Thought prompts
  • Use planning and checkpoint templates to avoid half-finished answers
Course contents

7 microlessons

Each microlesson is a short, TikTok-style video lesson.

1The B.E.A.R.S. Framework - 5 Essential Prompt Elements
2The SAGE+ Framework for Consistent Results
3Chain of Thought Reasoning Tutorial
4Chain Prompting Method - Build on Previous Outputs
5Tree of Thought Mega Prompt
64-D Methodology - Lyra Prompt Optimizer
7GPT-5 Deep Thinking Prompt Template

  1. The B.E.A.R.S. Framework - 5 Essential Prompt Elements: Five elements of a strong prompt: brief, expertise, asking for clarification, research and short sentences.
  2. The SAGE+ Framework for Consistent Results: Writing prompts with specific context, a clear action and goal, and examples.
  3. Chain of Thought Reasoning Tutorial: Asking AI to walk through its reasoning step by step before it answers.
  4. Chain Prompting Method - Build on Previous Outputs: Building multi-step prompt workflows where each output feeds the next.
  5. Tree of Thought Mega Prompt: Generating several options, exploring each one and ranking the best.
  6. 4-D Methodology - Lyra Prompt Optimizer: A structured prompt that helps AI improve your own prompts.
  7. GPT-5 Deep Thinking Prompt Template: Strict, explicit prompts that make the model plan and check its work.
Audience

Who should take this course

Who it's for

  • Anyone who uses ChatGPT, Claude or Gemini at work
  • Teams that want more consistent results from AI tools
  • Managers rolling out AI tools across a team
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  • ReportTeam Progress Email

    Managers get a regular email with their team's overdue courses and courses due in the next 30 days.

  • EngagePoints and streaks

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    See who has started, finished or is overdue, by person and by team.

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Your questions answered

Questions about Prompt Engineering training

How long is the Prompt Engineering course?

It's made up of 7 short microlessons. Learners can finish it in one sitting or spread it over a few days, and 5Mins sends reminders until it is done.

What does the course cover?

The B.E.A.R.S. and SAGE+ frameworks, Chain of Thought reasoning, chain prompting, Tree of Thought prompts and templates that make the model plan and check its work.

Who should take Prompt Engineering training?

Anyone who uses AI tools such as ChatGPT, Claude or Gemini at work and wants better, more consistent results.

Can I try the course first?

Yes. Request a free sample lesson and book a short demo with our team. After your demo, we'll share sample lessons with you so you can see the format for yourself.

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