Última actualización
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.
4 módulos • 12 lecciones

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.

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 most practical prompt engineering techniques in just 30 minutes. Master the 4-part prompt formula, specificity, iteration, and 5 power techniques that work across all AI tools.

Learn the spec-first method for building software with AI coding agents. Write specs with acceptance criteria, edge cases, and constraints, structure context for any agent, verify output against the spec with tests, iterate on failures, and know when to hand-code. Tool-agnostic across Claude Code, Cursor, Copilot, Devin, and any agent.

Master database internals, indexing, and schema design for modern AI applications. Learn how SQL databases power production AI systems at TikTok, Uber, and Netflix. Build RAG systems, feature stores, and high-performance pipelines with PostgreSQL and pgvector.

An advanced, hands-on course for buy-side and sell-side equity research analysts. Use AI to analyze earnings calls and 10-Ks, build a sector coverage thesis, construct and stress-test comparable company analysis, source and red-team DCF assumptions, draft equity research reports, build sector-coverage assistants, and stay inside MNPI, Reg FD, and research-independence lines.