Who is this prompt engineering course for, and who is it not for?

It is for professionals who use ChatGPT, Claude, Gemini or Copilot at work and get answers that are too generic, too long or quietly wrong. You might be a team lead rewriting every AI draft, or an analyst who has stopped trusting AI summaries. You do not need to know anything about how models work.

This course is not prompt engineering for developers building on APIs: there are no system prompts in code, no token budgets and no evaluation harnesses. Those topics belong to the optional Code track, where the build AI apps course covers calling AI APIs from Python. It is also not a full-time bootcamp or a degree. This one is about getting good work from the chat window you already have open.

What will I learn in the prompt engineering course?

The course moves through six modules, each with several short lessons. The order follows the way a strong prompt is put together, and the later modules turn one good prompt into something your whole team can reuse.

1. Context

Who the output is for, what it is for and what the tool needs to know. You rewrite a vague request into one that names the reader and the purpose.

2. Constraints

Length, format, tone and the things the tool must not do, such as invent figures or promise dates.

3. Examples

Showing the tool one good sample so it copies structure rather than guessing it, and knowing when an example narrows the answer too far.

4. Iteration

Reading a weak answer, diagnosing what was missing from the prompt, and fixing it in one follow-up instead of five.

5. Checking output

Spotting invented facts, missing points and confident errors, and asking the tool to show what it assumed.

6. Reusable templates

Turning a prompt that worked into a template with [placeholders] that a colleague can use without you.

How does the personalised path adapt to me?

Your diagnostic asks you to improve two short prompts and explain what you changed. If you already add context and constraints, the path moves you quickly to examples, checking and templates. If you mostly type one-line requests, you spend longer in the first two modules.

Worked examples follow your role. A finance manager sees a variance commentary prompt; a recruiter sees a job advert prompt; a customer support lead sees a reply to a refund request. The skill is the same, the material is yours.

What do I practise?

Every lesson ends with a task in a real AI tool, marked against a rubric you can read before you start. One example from module four: you are given a prompt asking for a project status update and the weak answer it produced, which buries a two-week delay in the third paragraph. Your task is to write one follow-up prompt that fixes it. The rubric checks whether you named the reader, moved the risk to the top, set a length limit and told the tool not to soften the delay.

Feedback is specific. Rather than a mark out of ten, you are told, for instance, that your follow-up fixed the order but still let the tool pick its own length, so the update ran to 300 words.

How long does the prompt engineering course take?

Lessons take 10 to 15 minutes each, so most people fit one in before a meeting or at the end of the day. The total length of your path depends on what the diagnostic finds and how often you practise, so there is no fixed number of hours. Someone who already writes structured prompts finishes far sooner than a complete beginner.

What do I get at the end?

When your path is complete you take a final practical assessment: a set of real prompting tasks marked against the same kind of rubric you used throughout. Passing it earns a recognised certificate you can add to your profile. It is not an accredited qualification, and we do not present it as one. You also keep the templates you built in module six.

How much does the prompt engineering course cost?

The course is included in every Tosheo.ai plan rather than sold on its own. The Individual plan is USD 79 a month or USD 790 a year. The Team plan is USD 189 a month or USD 1,890 a year for up to 3 members, with each extra member at USD 49 a month or USD 490 a year, and teams of 25 or more get volume pricing. Both start with a 7-day free trial, and you do not need a credit card to begin.