Andrew Ng knowledge graphs for AI agents
Andrew Ng put out a free course through Deeplearning.AI that walks you through building knowledge graphs for AI agents from the ground up. it’s one hour long and the whole point is to stop treating your data like a pile of disconnected scraps, you learn how to shape it into structured memory an agent can actually navigate. the sections cover what knowledge graphs even mean for agents, how to construct your very first one, designing systems where multiple agents work together, wiring up graphs with Google ADK, and a deep look at why graphs might be what pushes AI agents forward. the core insight is that agents get a lot smarter once they operate on a network of entities, relationships, and dependencies instead of just hoarding isolated facts, because understanding how everything connects is what turns raw info into real context. it’s built as a strong foundation for anybody tinkering with agentic AI systems and the video has timestamps so you can jump straight to the part you need #Google
