Twelve hands-on projects that turn prompt engineering theory into a portfolio. Build chatbots, content generators, RAG systems, and more.
This is the section where everything you have learned comes together. Each project takes a real problem — writing blog content, supporting customers, analysing data, generating brand assets — and walks you through the full prompt chain end to end. You will see the goal, the failed first attempts, the refinements, and the finished output you can drop into a portfolio.
The projects are independent. Pick one that matches a problem you are trying to solve right now, or work through them in order to build a varied portfolio of twelve different artefacts.
Treat each project like a small product launch. Read the walkthrough, then actually build it. Tweak the prompts for your own use case — your brand, your data, your customers. By the time you finish a project, you should have a working artefact (a doc, a chatbot transcript, a generated PDF, a Figma board, a code repo) that you can show to someone else. The capstone at the end shows you how to bring those artefacts together into a single portfolio page.
Tip: Treat every project as a portfolio piece from the very first prompt. Keep a folder per project with the brief, your prompts, the sample outputs, and a short write-up of what you learned. Recruiters and clients care less about the AI and more about your ability to think through the problem — and that thinking is exactly what these folders capture.
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