self-paced

Prompt Engineering

Learn how to write clearer, more specific prompts that produce more useful and reliable outputs from generative AI tools. This practical course teaches a reusable prompt structure, business-ready examples and safe prompting techniques for everyday workplace tasks.

Duration
3 hours
Price
£1.00
  • Self-paced lessons
  • Assessment
  • Credential

Certificate

Prompt Engineering Certificate

Awarded on successful completion of all required course steps.

Course syllabus

Lessons are grouped into clear steps with visual cues, so each course is easier to scan before you start.

Lessons unlock after purchase. Create your account with the same email you paid with — no course code is required — or choose “Already purchased?” above.

  1. Step 1 · Lesson

    What Is a Prompt?

    This lesson explains that a prompt is the instruction, question, context or task given to an AI model. Learners explore how prompts guide generative AI tools and why the wording, detail and structure of a prompt can strongly affect the result.

  2. Step 2 · Lesson

    Why Prompt Quality Matters

    This lesson shows how vague prompts often lead to generic, incomplete or less useful answers. Learners compare weak and strong prompts to see how clear, specific and step-by-step instructions improve output quality.

  3. Step 3 · Lesson

    A Reusable Prompt Structure

    This lesson introduces a practical prompt framework: role, task, context, constraints, output format, examples and quality criteria. Learners see how this structure can be reused across different business tasks to get more consistent results.

  4. Step 4 · Lesson

    Controlling Format, Tone and Style

    This lesson teaches learners how to specify the desired format, length, tone, audience and level of detail in a prompt. It covers practical techniques for producing outputs such as bullet lists, tables, executive summaries, formal emails and plain-English explanations.

  5. Step 5 · Lesson

    Prompting for Document Summaries and Reports

    This lesson focuses on using prompts to summarise documents and create reports for workplace use. Learners practise asking for key points, actions, risks, conclusions and structured report formats while keeping the output relevant to a business audience.

  6. Step 6 · Lesson

    Prompting for Emails, Rewriting and Communication

    This lesson covers prompts for drafting emails, rewriting text and adapting messages for different audiences. Learners practise improving clarity, professionalism, tone and conciseness while keeping meaning accurate and appropriate.

  7. Step 7 · Lesson

    Prompting for Analysis, Planning and Training Material

    This lesson applies prompt engineering to analysing feedback, planning meetings and generating training material. Learners use structured prompts to identify themes, create agendas, define learning points and turn raw information into practical workplace outputs.

  8. Step 8 · Lesson

    Prompting for Reliability and Safer Use

    This lesson teaches techniques for improving reliability, including asking the model to state assumptions, cite provided source material, separate facts from suggestions and identify uncertainty. Learners also practise requesting checklists and verification steps to support safer workplace use.

  9. Step 9 · Lesson

    Iterative Prompting as a Conversation

    This lesson shows that effective prompting is often an ongoing conversation rather than a single instruction. Learners practise refining outputs, asking for alternatives, requesting improvements, checking accuracy and improving weak prompts through follow-up questions.

  10. Step 10 · Assessment

    Prompt Engineering Knowledge Check

    Final assessment for the Prompt Engineering course. This knowledge check assesses how well learners understand prompts, prompt quality, reusable prompt structures, and controlling format, tone and style for workplace AI tasks.

  11. Step 11 · Credential · Optional

    Prompt Engineering Essentials Badge

    Awarded to learners who complete all lessons and achieve at least 80% in the assessment.