AI courses
The roles that appeared once teams started shipping AI: annotation, evaluation, automation and the governance around it.
7 free ai courses, each ending in a live simulation week and a portfolio of artifacts you keep.
AI Champion
Lead AI adoption across a department: bring shadow AI into the open, write a use policy people follow, evaluate a vendor's data terms, pilot against a baseline, and handle the day an AI draft promises a customer something that is not true.
18 lessons·4 artifacts
AI Data Annotator and AI Trainer
Label text, images and audio against a guideline, rank, score and rewrite AI responses, check claims, handle personal data, and answer a quality audit. Honest about the work: mostly remote contract work, paid per task or per hour, with no guaranteed hours.
30 lessons·4 artifacts
AI Engineer (LLM applications)
Take a customer assistant from demo to pilot at a B2B supplier: scope it, build an evaluation set before trusting it, fix retrieval, keep one customer's orders from another, make it say 'I don't know', cost it, and report honestly on the pilot.
20 lessons·4 artifacts
AI Workflow Owner
Build a small automation someone else's work now depends on, document it well enough to survive your own absence, and be the person colleagues bring a misbehaving AI tool to.
16 lessons·4 artifacts
Conversational AI Builder
Build a customer-facing chatbot a small business can trust: set what it answers and what it hands to a person, ground it in the right sources, test it before launch, stand behind what it says, collect only what it needs, and hand it over so the business can keep it right.
20 lessons·4 artifacts
Practical AI Tools for the Workplace
Use AI tools on real work without embarrassing yourself: structure a prompt, verify what comes back, keep confidential data out, and know what not to automate. You leave with a prompt library, one automation specified end to end and built where you can build it, and an honest time-savings writeup.
27 lessons·5 artifacts
AI / Prompt Support Engineer
Build, integrate and support an LLM-backed feature in production: structure prompts for reliability, ground answers with retrieval, prove a change is an improvement with an eval set, and diagnose why it misbehaves once real users touch it. Assumes you already read Python and can call an HTTP API.
28 lessons·6 artifacts
Questions about ai courses
Yes. Every course on CertClue is free, with no card and no trial period. You need an account to track progress and collect your artifacts, and that is the only gate.
7 live right now, holding 159 lessons and 31 portfolio artifacts between them. New courses are added regularly and appear here automatically.
No. Each course states its own level, and most of this catalogue starts at entry or beginner. A course assumes you can use a computer and read carefully, not that you have done the job before.
A completion certificate with a public verification link, and the artifacts you produced during the simulation week. The artifacts are the part worth showing an interviewer: they are the work, not a score.