Finished a track? Generate your free certificate below — type your name, pick your track, and download it or add it straight to your LinkedIn profile. No account, no email, no catch.
Please read: this is a self-issued certificate of completion for a free, self-paced online course. It is not an accredited qualification, not a professional credential, and not issued or verified by any examining body, university, or employer. Completion is self-reported — the site does not track, test, or verify that you finished the modules, and no record is stored. Treat it as a personal record of the time you invested, not as evidence of assessed competence.
Work through every module in a track, including the capstone project. Track 1 starts at What Is AI? — no coding needed.
Type your name exactly as you want it to appear and pick the track you finished. The certificate updates live as you type.
Download the image for your records, or use the LinkedIn button to add it to the Licenses & Certifications section of your profile in two clicks.
Free online courses have a credibility problem, and pretending otherwise helps nobody. So here is a plain account of what you are downloading, so you can decide how and where it is honest to use it.
It is a record that you worked through a free, self-paced course covering a defined syllabus: 34 modules spanning AI fundamentals, applied machine learning, and advanced AI engineering. The certificate names the track you completed, the number of modules it contains, and the date you generated it. That is a real and reasonable thing to have.
Listing self-paced coursework on a CV or LinkedIn profile is entirely normal and legitimate — provided it is described accurately. Put it under continuing education or professional development rather than alongside degrees and licensed qualifications, and name it for what it is: a free, self-paced online course.
The LinkedIn button on this page adds it to the Licenses & Certifications section with “AI Skill Course” as the issuing organisation, which is accurate. If a role or application asks specifically for accredited training, this does not meet that bar, and saying so plainly costs you nothing.
In practice, what you can demonstrate matters far more than what you can display. The knowledge behind the certificate — being able to explain how a model learns, why AI hallucinates, what retrieval-augmented generation solves, or how to write a prompt that reliably works — is what shows up in interviews and in the work itself.
If you want something more concrete to point at, the capstone projects at the end of each track are the better artefact: building your own AI assistant in Track 1, an end-to-end machine learning pipeline in Track 2, and a multi-agent AI system in Track 3. A project you can walk somebody through is worth more than any certificate, free or paid.
The certificate is generated entirely in your browser. The name you type is never transmitted to this site or to anyone else, nothing is saved, and no account is created. Closing the tab discards it — so download the image if you want to keep a copy.