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Detection Engineering is a tactical function of a cybersecurity defense program that involves the design, implementation, and operation of detective controls with the goal of proactively identifying malicious or unauthorized activity before it negatively impacts an individual or an organization.

A roadmap describing the required skills, learning resources and sample tools to become an AI Engineer

Skills and career roadmap for various security roles like application security, cloud security, DevSecOps, security engineer, security researchers, pentesting, api security, network security, mobile security and so on with helpful resources, guidelines

TranslatedChinese tutorial for Stanford CS329Z Engineering AI Agents: an AI agent course for Python developers, with 19 lectures and 4 hands-on practices, covering LLMs, RAG, tool calling, memory, multi-agent systems, evaluation, and safety. Full Markdown, online and offline HTML. Chinese course notes.