22 Karten. 4 Kapitel. Echtes Lehrmaterial.
Diese Inhalte stammen aus dem laufenden COS-Curriculum (v1) und werden hier im neuen heyprof-Stil gerendert. Demonstration, dass 32dots Learn echtes Kursmaterial aufnimmt — nicht nur Marketing-Stubs.
Getting Started
— Run it before you explain itFive hands-on sessions: a guided course tour, your first AI agent, voice → lab AI, AI that reads your documents, then AI that routes and transforms. Every session follows the same pattern: run first, understand second, make it yours.
Tools
— n8n as your lab benchFive sessions on building real scientific AI tools in n8n — scientific database APIs, error handling, a tool-using research assistant, a five-stage literature pipeline, and your own domain-tuned review pipeline. By the end you can ship a small but useful research tool.
Safety
— Evaluation, privacy, and trustTrust-and-safety patterns for AI systems — output evaluation, observability, approval gates, GDPR-aware data handling, and MCP. Being rewritten for the new course shape; existing cards are still reachable by direct URL.
Capstone
— Design, build, and defend your systemProject design, build, demo, and templates as learning shortcuts. Being rewritten alongside the Safety chapter for the new course shape; existing cards are still reachable by direct URL.