A certificate records course completion. A portfolio shows what you can make, how you think and whether you can check your own work.
Select three to five strong projects
Use fewer projects with better documentation. Each project should match the job or client work you want.
- One guided foundation project
- Two role-specific projects
- One project based on a realistic business brief
- One final capstone that joins several skills
Show the brief, the decisions, the checks and the finished result—not only the final screenshot.
Turn each project into a case study
State the problem, audience, limits and success measure. Record the tools you selected and why. Show failed attempts, corrections and checks when they help explain your decisions.
For coding or automation work, include tests, diagrams and a working demonstration. For design and video, include the brief, visual direction, production stages and final edit.
Publish it where employers can review it
Use GitHub for code, a clean portfolio website for case studies, and suitable media platforms for video or visual work. Keep contact details and your role on each project clear.
Review every claim. Do not present model-generated work as fully handmade, and do not upload client or company information without permission.
Common questions
How many AI projects should a beginner show?
Three to five well-documented projects are enough to begin. Quality and role fit matter more than a large project count.
Should prompts be included in an AI portfolio?
Include selected prompts or instruction methods when they explain your process, but also show editing, checking and final decision-making.