Andrew Ng Releases Free Course on Building Agentic Knowledge Graphs

Andrew Ng recently released a free 1-hour course on building agentic knowledge graphs from scratch. The course covers the definition of agentic knowledge graphs, construction methods, and how multi-agent systems are architected on graphs, with a demonstration of using the Google ADK tool to implement related functionalities.

Fact Restoration

According to the publicly shared course timeline, the course begins at 00:00 with an introduction to what agentic knowledge graphs are and why agents need them. At 03:07, it explains how to build the first agentic graph. At 14:00, it shifts to how multi-agent systems are architected on graph structures. At 23:00, it demonstrates specific steps for building agentic graphs using Google ADK. Finally, at 01:06:03, it discusses why graph structures are the future direction of agentic AI.

Mechanism Breakdown

The course positions agentic knowledge graphs as a foundational component of agent systems, using graph structures to achieve information persistence and relationship modeling. The construction process starts with simple nodes and edges and gradually expands to architectures that support multi-agent collaboration. The Google ADK tool is used in live code demonstrations to show how graphs can be combined with agent logic. In this mechanism, graph structures serve as carriers of memory and reasoning, preventing agents from processing information from scratch each time.

Industry Impact

For developers, the course provides a directly followable timeline guide, helping them quickly get started with practical agentic graphs. For enterprise users, the course suggests that graph structures can improve the coherence and scalability of agent systems, thereby influencing deployment choices for multi-agent applications. For the competitive landscape, the course uses Google ADK as an example tool, indicating the level of participation by the relevant ecosystem in the agentic AI field.

Strategic Judgment

Based on the core role of graph structures emphasized in the course, the developer community is likely to see more open-source projects and discussions around agentic graphs soon. Enterprise users may evaluate whether their existing agent systems need to incorporate graph components to support long-term memory. Details yet to be confirmed include the specific viewing platform for the course and subsequent update plans, which are not clearly stated in the current public sharing.