Best AI Prompts for Learning & Training (2026)

Updated 5 November 2026

Looking for the best AI prompts to improve learning and training? Whether you're creating learning content, designing training programmes or supporting employee development, the right AI prompts can help you get better results in less time.

For learning and development (L&D) professionals, tools like ChatGPT can support everything from creating engaging training materials to personalising learning experiences and developing coaching strategies. But the quality of the output depends on the instructions you provide.

In this guide, we've brought together practical AI prompts for learning and training that you can adapt to your own needs. You'll find examples covering content creation, personalised learning, coaching, course planning and more, alongside advice on writing effective prompts yourself.

AI can be an incredible colleague for the overstretched L&D professional… as long as you know how to get the best out of it. It’s not magic, and it won’t drop all the answers you need in your lap, but with the right AI prompts… well, you might just feel a little bit like a wizard, even if you're not quite up to speed on your AI prompt engineering.

If you’re new to AI or looking to up your game with ChatGPT, Perplexity, Bard or any of the other generative AI tools, we’ve got you covered. Take a look at our list of the very best AI prompts to help you elevate your learning in terms of better content, better organisation, better analysis and more.

Seriously – consider this our gift to you. We’re confident these AI prompts will make the world of difference to your learning in 2026.

Why AI prompts are your key to better learning

Looking for the best AI prompts for learning and training? Whether you're creating learning content, designing training programmes or supporting employee development, knowing how to write effective AI prompts can help you achieve better results in less time.

Many learning and development (L&D) professionals still use AI tools like ChatGPT as they would a regular search engine – typing in a keyword or short question and accepting whatever answer they're given. But even a basic understanding of AI prompt engineering can dramatically improve the quality of the responses, helping you create, organise and deliver more effective learning experiences.

To quote 5app's Head of Product James Cranwell:

"Put simply, prompt engineering is about designing and refining the ‘prompts’ you use to get what you want from your AI tools. A well-crafted prompt will help you get a better response or more useful output, and prompt engineering is one of the most useful AI skills for L&D professionals right now."

The ability to ask the right questions in the right way can significantly improve the output of your generative AI tools. That means being specific, avoiding ambiguity and refining your prompts based on the responses you receive.

For learning professionals, the possibilities are extensive. From creating training content and personalised learning activities to developing coaching questions, quizzes and workshop discussion topics, the right AI prompts can save time while improving the learning experience.

In this guide, we've brought together practical AI prompts for learning and development that you can adapt to your own needs, alongside advice on writing better prompts yourself.

The best AI prompts to get information when an SME isn't available

Subject matter experts (SMEs) play a valuable role in creating accurate, relevant learning content. But whether they're internal or external, they won't always be available when you need them. This can slow down everything from developing a new training course to updating existing learning materials.

AI tools like ChatGPT can help learning and development professionals get started. With the right prompts, you can research unfamiliar topics, identify key concepts and generate initial content for an SME to review later.

Here are five useful AI prompts to help you gather information and keep your training projects moving:

• "Explain [topic] in simple terms suitable for [audience type]."
  For example: "Explain GDPR in simple terms suitable for a customer service team."
• "What are the latest trends in [industry/topic] that could impact [role/team]? Include sources and publication dates so I can verify the information."
  For example: "What are the latest trends in social media that could impact the marketing team?"
• "What are common mistakes people make when learning about [topic]?"
  For example: "What are common mistakes people make when learning about account-based marketing?"
• "Provide a list of key concepts or foundational knowledge needed to understand [topic]."
  For example: "Provide a list of key concepts needed to understand cryptocurrency."
• "What are five use cases of [technology/concept] relevant to [department/role]?"
  For example: "What are five use cases of ChatGPT relevant to HR teams?"

AI-generated information should always be checked against reliable sources, particularly when covering technical, legal or rapidly changing topics. Think of AI as a way to accelerate your initial research, not a replacement for subject matter expertise.

Best AI prompts for creating learning and training content

Creating learning content is one of the most practical uses of AI in learning and development. Whether you're developing an elearning course, designing assessments or producing microlearning videos, the right AI prompts can help you create engaging training materials in less time.

The key is giving AI enough context about your audience, learning objectives and desired format. A few small adjustments to your prompts can turn generic responses into useful, relevant learning content.

Here are five AI prompts for creating training materials:

• "Create a 10-question multiple-choice quiz on [topic], with correct answers, plausible distractors and explanations for each response."
  For example: "Create a 10-question multiple-choice quiz on blockchain technologies using the uploaded document. Include feedback for correct and incorrect answers, along with an explanation of each answer."
• "Generate a step-by-step guide for [task or skill], with practical examples for [specific audience]."
  For example: "Generate a step-by-step guide for creating a PowerPoint presentation, with specific examples for software salespeople preparing customer pitches."
• "Draft a script for a two-minute microlearning video about [topic], aimed at [audience]. Include a clear learning objective and a practical takeaway."
  For example: "Draft a two-minute microlearning video script about handling difficult conversations for new managers, including a realistic workplace example."
• "Design an outline for an elearning course on [topic], including learning objectives, activities and assessment questions."
  For example: "Design a beginner-level, 30-minute elearning course on processing customer complaints. The objective is to help new customer service employees understand the escalation process. Include an interactive scenario, a knowledge quiz and a game-based activity."
• "Write a branching scenario-based learning exercise on [topic], including learner decisions, consequences and feedback."
  For example: "Create a branching scenario about handling vendor bribery for employees at a large UK bank. Write the dialogue, learner choices and feedback for each decision. Include a decision-tree diagram showing the different paths and recommended outcomes."

These AI prompts for course creation provide a useful starting point for course creators. Review and adapt the outputs to ensure they're accurate, accessible and aligned with your learning objectives.

Looking for an easy way to generate elearning content using AI? Find out more about VeeCreate, 5app's AI authoring tool, which helps you create courses in minutes, not days.

Best AI prompts for personalised learning and development

Personalised learning helps employees develop the skills they need, at a pace that works for them. But tailoring learning experiences to different roles, experience levels and development needs can be time-consuming for L&D teams.

AI tools like ChatGPT can help you create personalised learning plans, adapt existing training content and recommend relevant learning activities. With the right prompts, you can make learning more relevant to individual employees without having to build every experience from scratch.

Here are four practical AI prompts for personalised learning:

• "Create a personalised learning plan for [role] to develop [skill], based on their current experience and limited time availability ([X] minutes per day). Include practical activities and measurable learning objectives."
  For example: "Create a personalised learning plan for a new team leader to develop coaching skills in 10 minutes a day. Include short learning activities, opportunities to practise and ways to measure progress."
• "Adapt this learning content for three experience levels: beginner, intermediate and advanced. Include suitable learning objectives and activities for each level."
  For example: "I've created an elearning course about Salesforce, but some of our salespeople have prior experience while others are completely new to it. Adapt the course for beginner, intermediate and advanced learners, and create an initial assessment to help determine which version each employee should take."
• "Recommend the next best learning activity based on this learner's progress, completed training and development goals: [insert context]. Explain why the activity is appropriate."
  For example: "A cohort of new managers has completed a workshop on giving feedback and elearning courses on active listening and coaching skills. Recommend the next learning activity to help them lead teams of seasonal employees, including a practical workplace exercise."
• "Summarise this learning content into a three-minute version for a time-poor audience, retaining the most important information and practical takeaways."
  For example: "We have a legacy handbook covering our invoicing processes, but our salespeople have limited time for training. Turn the document into a three-minute overview, a short video script and a step-by-step checklist covering the essential actions."

Personalisation becomes even more useful when you understand which skills employees already have and where they need support. Tools like Helix can help identify strengths and development opportunities, while VeeCoach supports personalised coaching and skills practice.

When using AI to personalise learning, avoid sharing confidential employee information or identifiable learning records with tools your organisation hasn't approved. Use anonymised examples wherever possible, and review AI-generated recommendations before assigning learning activities.

The best AI prompts for organising your courses and resources

Writing metadata, course descriptions and tags isn’t the most exciting part of a learning professional’s role, but it’s absolutely crucial to help your learners find what they need. If you want to make your content easier to organise, search and browse, why not let AI do the heavy lifting for you with these AI prompts?

Some of these, such as creating keywords or search engine summaries, are especially useful if you’re creating extended enterprise learning for external audiences, or selling courses via a course catalogue or ecommerce storefront.

• "Write a concise course description for [topic] aimed at [audience]. Include learning objectives."
  For example, “Write a concise course description for a health and safety course aimed at food factory employees, focused on the main objective of learning how to safely conduct their jobs in compliance with all industry regulations.”
• "Generate search-optimised tags and keywords for a training module about [topic].”
  For example, “Generate search-optimised tags and keywords for an elearning module about empathy in the workplace.”
• "Create metadata for a [format: eBook, video, etc.] on [topic], including audience level, duration, and prerequisites."
  For example, “Create metadata for a video about basic HTML for marketers, including the fact it’s for beginners, it’s 15 minutes long and the learners will need to have completed the intro module first.”
• "Summarise this course/resource in 150 characters for use as a search result snippet."
  For example, “Create a 150-character or less summary of our active listening elearning module to appear as a Google search snippet.”
• "What are some alternative titles for a course on [topic] that sound engaging and modern?"
  For example, “Please suggest 10 alternative titles for our elearning course called ‘Design Basics’ that will engage an audience of early-career marketing professionals.”

Best AI prompts for coaching and behaviour change

Coaching plays an increasingly important role in helping employees develop new skills and apply what they've learned in the workplace. Whether you're using traditional coaching, AI-powered coaching or a combination of both, the right approach can help turn learning into meaningful behaviour change.

AI tools like ChatGPT can support coaching conversations, encourage self-reflection and provide opportunities to practise real workplace situations. For L&D professionals and managers, well-written AI coaching prompts can make these activities more accessible without always needing a professional coach.

Here are four practical AI prompts for coaching and behaviour change:

• "Act as a workplace coach. Ask me reflective questions, one at a time, to help me improve my [skill] in a real work scenario. Help me identify practical actions rather than simply giving me the answers."
  For example: "I'm moving from a graphic designer role to leading the design team and managing my former colleagues. Act as my coach and ask me reflective questions to help improve my problem-solving and leadership skills in a busy agency. Ask one question at a time and help me reflect on my responses."
• "Create a realistic role-play scenario for [workplace situation]. Play the role of the other person, respond to my answers and provide constructive feedback on how I handle the conversation."
  For example: "I'm a middle manager preparing to announce an unpopular change to overtime arrangements. Role-play a conversation with an employee who is concerned about the decision. Ask realistic questions, respond to my answers and provide feedback on how I can communicate fairly and empathetically."
• "Identify the observable workplace behaviours that demonstrate improvement in [skill]. Suggest practical ways to assess progress and provide constructive feedback."
  For example: "I've recently moved from sales into internal communications and I'm developing my stakeholder management skills. What observable behaviours would demonstrate improvement, and how could my manager assess my progress through everyday workplace interactions?"
• "Suggest three practical ways to apply [learning topic] in my role this week. Include realistic workplace activities and questions to help me reflect on my progress."
  For example: "I'm a customer relationship manager at a small PR agency. My manager has asked me to improve my active listening skills with clients. Suggest three practical ways to practise active listening this week, along with ways to reflect on my progress and discuss it with my manager."

The real value of coaching comes from putting new skills into practice and understanding whether behaviour is improving. VeeCoach provides AI-powered coaching and role-play opportunities, while Helix helps organisations identify skills strengths and development opportunities through workplace conversations.

Together, these approaches can help L&D teams move beyond course completion and support ongoing skills development.

Best AI prompts for designing learning strategies and training plans

Creating an effective learning and development strategy takes more than identifying training needs. You need to understand which skills matter most, design learning experiences that support business objectives and measure whether your programmes are making a difference.

AI tools like ChatGPT can help L&D professionals develop training plans, explore different learning approaches and identify opportunities to improve existing programmes. Whether you're refreshing your learning strategy for 2027 or launching a new training initiative, the right AI prompts can help you plan more effectively.

Here are five practical AI prompts for learning strategy and training programme design:

• "Create a learning plan for upskilling [audience] in [skill/topic]. Include learning objectives, milestones, practical activities and methods for measuring success."
  For example: "Create a 90-day learning plan for upskilling retail employees in cross-selling. Our objective is for 30% of customer transactions to include a successful cross-sell by the end of Q1 2027. Include monthly milestones, workplace activities and evaluation methods to track progress."
• "Recommend effective blended learning strategies for developing [topic/skill] within [organisation or team]. Consider time constraints, available resources and opportunities for practical application."
  For example: "What blended learning strategies can I use to train my oncology team about emerging AI technologies? They have approximately one hour available for learning each week, and at least half of their training should involve practical, in-person activities."
• "Create a framework for measuring the impact of a training programme on [specific business metric]. Include baseline measurements, success indicators and methods for evaluating behaviour change."
  For example: "Create a framework for assessing the impact of our employee onboarding programme on staff retention. Our target is to maintain annual employee turnover below 5%. Recommend leading and lagging indicators, data collection methods and an evaluation timeline."
• "Suggest practical ways to integrate social learning into a training programme on [topic]. Include opportunities for peer learning, collaboration and knowledge sharing."
  For example: "Suggest ways to integrate social learning into a training programme about ADHD for primary school teachers. Include peer discussions, collaborative activities and opportunities to share practical classroom experiences."
• "Develop a detailed action plan for launching a [topic] training programme for [audience] by [deadline]. Include key activities, responsibilities, milestones and a pre-launch checklist."
  For example: "Develop an action plan for launching a product training programme for our new range of medical devices to healthcare sales representatives by the end of Q2 2027. Include content development, stakeholder reviews, compliance checks, learner communications and a pre-launch checklist."

A successful learning strategy also depends on understanding where skills gaps exist and whether development activities are improving workplace performance. Helix helps organisations identify skills strengths and development opportunities through real workplace conversations, giving L&D teams additional insight to inform training priorities and measure progress.

Use AI-generated plans as a starting point, then refine them using your organisation's business objectives, learner needs and available performance data.

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  Best AI prompts for identifying learning trends and analysing training data

  Understanding learning trends helps L&D teams make better decisions about training content, learner engagement and skills development. But identifying meaningful patterns across LMS reports, course completion data and employee feedback can take considerable time.

  AI tools like ChatGPT and Claude can help you analyse learning data, compare performance across different groups and identify trends that might otherwise be overlooked. From understanding why course completion rates are falling to identifying seasonal changes in learner engagement, the right AI prompts can turn raw training data into useful insights.

  Here are five practical AI prompts for analysing learning and development data:

  • "Analyse this learning dataset [insert data] and identify the most significant trends, patterns and changes over time. Focus particularly on [theme], and highlight any findings that require further investigation."
    For example: "Analyse the spreadsheet exported from our LMS and identify key learning trends throughout 2026. Focus on learner growth, the most popular content formats and courses experiencing declining engagement. Include a summary of the findings and recommendations for further analysis."
  • "Analyse this dataset [insert data] to explain how [metric or initiative] has changed over time. Identify possible relationships between activities and outcomes, and distinguish observations from assumptions."
    For example: "Analyse our compliance training data to understand how learner engagement and completion rates have changed over time. Pay particular attention to periods when reminder emails were sent and identify whether completion rates increased afterwards."
  • "Compare learning outcomes between [group A] and [group B] using this dataset. Highlight meaningful differences and suggest possible explanations that could be investigated further."
    For example: "Compare the results of our accounting and HR teams following a recent mental health training programme. Identify differences in completion rates, assessment results and engagement, and suggest what additional information we would need to understand the reasons behind them."
  • "Identify seasonal and time-based trends in learning activity using this dataset [insert data]. Compare equivalent periods and highlight any recurring patterns or unusual changes."
    For example: "August typically has our lowest learner engagement rates. Analyse learning activity across 2024, 2025 and 2026 to identify seasonal patterns. Compare August engagement across all three years and highlight whether the trend is improving or declining."
  • "Analyse the factors associated with [metric] across these courses [insert data]. Identify differences between teams or regions and recommend practical areas for improvement."
    For example: "Analyse completion rates for our regional compliance training programmes. Identify which regions consistently achieve higher completion rates, examine factors such as course duration and reminder frequency, and suggest practices that other regions could test."

   

AI can help identify patterns in learning data, but those patterns don't always explain why something is happening. Whether you're using ChatGPT, Claude or another AI tool, check the quality of your data, consider external influences and avoid treating correlations as proof of cause and effect.

Beyond traditional LMS reporting, Helix helps L&D teams understand skills strengths and development opportunities through workplace conversations. This provides another source of insight to help inform learning priorities and support employee development.

When analysing employee learning data, use anonymised or aggregated information wherever possible and ensure any AI tools meet your organisation's data protection requirements.

How to evaluate AI-generated content for learning and training

AI tools like ChatGPT and Claude can help L&D professionals create training content faster, but that doesn't mean every response is accurate, relevant or ready to use.

Generative AI can sometimes produce incorrect information, reference outdated sources or confidently present something that simply isn't true. This is often referred to as an AI hallucination. Even when the information is accurate, the content might not reflect your organisation's tone of voice, learning objectives or the needs of your audience.

That's why keeping humans involved in the content creation process is essential. AI can help you develop the first draft, but your subject matter experts, learning designers and other stakeholders should review the output before it reaches learners.

When evaluating AI-generated training content, consider the following:

• Accuracy: Are the facts, examples and recommendations correct? Ask subject matter experts to verify technical information and check any sources provided by AI.
• Learning objectives: Does the content support the skills, knowledge or behaviours learners need to develop?
• Relevance: Is the content appropriate for your audience, including their experience levels, roles and working environments?
• Tone and accessibility: Does the language reflect your organisation's style? Is the content clear, inclusive and accessible to different learners?
• Practical application: Will learners be able to apply what they've learned in real workplace situations?
• Data protection: Have you avoided sharing confidential company information or personal employee data with unapproved AI tools?

For example, your SMEs can review technical accuracy, your marketing team can check language and branding, and managers can confirm whether an AI-generated training plan is realistic for their teams.

AI is a brilliant sidekick for L&D professionals, but there's a reason you don't see Robin saving Gotham City alone. Humans are Batman, AI tools are Robin, and together they make a pretty effective team.

The goal isn't to replace human expertise. It's to give learning professionals more time to focus on creating meaningful learning experiences, supporting employees and improving training outcomes.

AI prompts for reviewing training quality

Creating a useful training resource is only part of the job. You also need to understand how a session was delivered and where a trainer needs support. Use an approved AI tool to structure your review, then check its observations against the evidence and your quality framework.

Review this anonymised training transcript against the supplied criteria: clarity of explanation, questioning, checking understanding and constructive feedback. For each criterion, quote the supporting evidence, describe what worked and suggest one practical improvement. If the transcript provides insufficient evidence, say so. Distinguish the trainer's observable behaviour from assumptions about learner understanding. Do not infer intent or score criteria that the transcript cannot support.

A transcript cannot show everything that happened in a session. Treat the output as evidence for a development conversation, alongside your other observations.

Explore training QA with Helix

See how Helix helps you review training conversations and identify development opportunities. Explore a free environment with example Training QA data before adding your own conversations.

Explore Helix for free. No credit card. No time limit.

How to write better AI prompts for elearning authoring tools

AI authoring tools make it easier for L&D professionals to create engaging training content without starting from scratch. Whether you're building an elearning course, developing microlearning activities or turning existing resources into interactive learning experiences, the quality of your AI prompts makes a difference.

With an AI-powered authoring tool like VeeCreate, you can create learning content from existing materials, such as PDFs and Word documents, or generate a new course using a written prompt.

For example, you could ask an AI authoring tool to:

Create an elearning course about health and safety in factories.

That might produce a reasonable starting point, but the content is likely to be generic. It won't necessarily reflect your organisation's processes, equipment, branding or the specific needs of your learners.

Instead, give the AI more context about your audience, learning objectives, course structure and desired activities.

Here's a more effective AI prompt for creating an elearning course:

Create a five-minute microlearning course about workplace health and safety for factory workers at a car manufacturing plant.

The course should use accessible, plain English and focus on helping employees identify the correct personal protective equipment (PPE) for different manufacturing tasks.

Include:

• A short introduction explaining why PPE matters.
• A flipcard or matching activity that helps learners identify which safety equipment is required for different types of machinery.
• Realistic examples based on common manufacturing environments.
• A 10-question knowledge check with feedback explaining correct and incorrect answers.

Keep the content concise, practical and suitable for employees with different levels of experience. Flag any safety requirements that need to be confirmed against our organisation's procedures before publication.

The second prompt gives the AI much clearer instructions about what to create, who it's for and how the learning experience should work.

What makes a good AI authoring prompt?

When creating training content with AI, try to include:

• Audience: Who is the training for, and what experience do they already have?
• Learning objectives: What should learners know or be able to do afterwards?
• Context: What workplace processes, challenges or scenarios should the content reflect?
• Format: Do you need a full elearning course, microlearning module, quiz or interactive activity?
• Tone and accessibility: How should the content be written and presented?
• Assessment: How will you check that learners have understood the material?

Even with a detailed prompt, review and refine the output. Check technical accuracy, adapt the content to your organisation and confirm that the activities support your learning objectives before publishing.

Get better results with AI prompts for learning and development

Generative AI tools like ChatGPT, Claude and Perplexity are continually evolving, giving learning and development professionals new ways to create content, personalise training and support skills development.

But getting useful results isn't just about which AI tool you choose. It's about knowing how to ask the right questions.

The best AI prompts for learning and training provide clear instructions, relevant context and a specific outcome. And you don't have to get everything right first time.

One of the biggest advantages of generative AI is that you can continue refining your prompts and responses. For example, you can ask AI to:

• Simplify technical language for a less experienced audience.
• Adapt training content for different roles or experience levels.
• Reduce content to a specific word count or learning duration.
• Add practical workplace examples or interactive activities.
• Rewrite content to match your organisation's tone of voice.
• Suggest improvements to learning objectives, assessments or activities.

Whether you're creating an elearning course, designing a personalised development plan or preparing for a coaching conversation, the prompts in this guide are a starting point. Experiment with them, adapt them to your organisation and keep refining the results until they meet your needs.

AI won't replace the experience and judgement of learning professionals. But with the right prompts, it can help you spend less time on repetitive tasks and more time creating learning experiences that make a difference.

The best AI prompt is rarely the first one you write. It's the one you keep improving.