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.
3 módulos • 6 aulas
A short, no-code course on protecting yourself while you use AI. Learn what you should never paste into a chatbot, how to turn off data training in ChatGPT, Gemini, and Claude, how to spot voice-clone scam calls, deepfakes, and AI phishing, and how to keep your family safe. Practical safety habits for everyday AI users.
Run real security-analyst labs using free AI tools. Triage suspicious phishing emails, read and summarize security logs, hunt for threats with plain-English prompts, and learn secure prompting so you never leak sensitive data. No coding and no prior security experience required, and you earn a free certificate of completion for your LinkedIn and resume.
Learn how to use AI tools like ChatGPT, Claude, Gemini, and Perplexity to understand cybersecurity, spot phishing and scams, secure your devices and accounts, protect your privacy, and defend against AI-powered threats like deepfakes. Built for university students and early-career learners with zero prior experience — no coding required. Earn a free certificate to add to your LinkedIn and resume.
Learn the principles, practices, and skills to use AI responsibly. Explore bias, fairness, privacy, transparency, hallucinations, deepfakes, and the EU AI Act through hands-on exercises with ChatGPT, Claude, and Gemini. Perfect for university students and early-career learners. No coding required, and you earn a free certificate to add to your LinkedIn and resume.
Master AI-powered research techniques using Perplexity, ChatGPT, and Claude. Learn to craft effective research questions, fact-check AI responses, synthesize multiple sources, and create professional research reports.
Understand how AI recognizes what is in a picture, in plain language with no code and no math. Learn how a computer turns a photo into numbers, how it learns patterns from examples, and the core vision tasks: image classification, object detection, face recognition, and OCR. See where computer vision shows up in daily life, why it fails, and how to spot bias. Finish by testing a multimodal chatbot's vision yourself. This course is about recognizing images, not generating them.