A fast, practical micro course that teaches you to evaluate what you read and see online. Detect AI-generated text and images, recognize deepfakes, catch AI hallucinations, fact-check AI output against primary sources, and judge source credibility. Built for students, educators, and anyone who wants a verify-don't-trust mindset. No coding required, and you earn a free certificate of completion.
The internet is now full of text, images, and videos made or edited by AI, and almost none of it carries a label. A fluent article can be machine-written, a photorealistic photo can show an event that never happened, and a confident chatbot answer can be completely fabricated. This free micro course teaches the one skill that protects you through all of it: the ability to evaluate what you encounter instead of trusting it on sight.
In about an hour across six short lessons, you will build a verify-don't-trust mindset and the practical tools to back it up. You will learn to read AI-generated text for its tells while understanding why AI detectors are unreliable and unfair to some writers, spot AI-generated images and deepfakes using reverse image search and context rather than fading visual glitches, catch AI hallucinations and fact-check output against primary sources, and judge any source on authority, corroboration, and recency using the lateral-reading technique professional fact-checkers rely on.
The course is written for students, educators, and anyone navigating today's information flood. Students get a personal habit loop and a warning about AI-invented citations; educators get low-prep, classroom-friendly activities and reusable prompts that turn AI into a thinking partner, not an answer machine. No coding or technical background is needed, and every technique uses free, widely available tools. Finish the lessons and pass the short final exam to earn a free certificate of completion you can add to your LinkedIn profile or resume. Start building real AI literacy today.
3 modules • 6 lessons
It is built for students, educators, and anyone who wants to evaluate online content with confidence. The level is beginner, no coding or technical background is needed, and every technique uses free, widely available tools.
Yes, the course is completely free. After you finish the six short lessons and pass the final exam, you earn a certificate of completion that you can add to your LinkedIn profile or include on your resume.
Not with certainty, and the course is honest about that. AI text detectors produce false positives and are unfair to some writers, and visual tells in images are weakening as models improve. The course teaches you to verify claims and trace sources instead of relying on any single detector.
This course owns the evaluation lens: judging whether content is real and trustworthy. AI ethics covers principles like fairness and responsible use, and AI security covers defending against attacks and scams. The lessons link to both as complements, and you do not need either one first.
Yes. The final lesson gives educators low-prep, classroom-friendly activities like real-or-generated, trace-the-photo, and catch-the-hallucination, plus reusable prompts that turn AI into a thinking partner students still verify.
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