According to AndrewYNg on X, DeepLearning.AI launched a short course titled "Agent Memory: Building Memory-Aware Agents," developed with Oracle and taught by Richmond Alake and Nacho Martínez, focused on persistent agent memory across sessions. As reported by DeepLearning.AI, the curriculum covers designing a Memory Manager for episodic, semantic, and procedural memory, implementing semantic tool retrieval to load only relevant tools at inference time without bloating context, and building write-back pipelines so agents autonomously update knowledge over time. According to the course page, the skills target production use cases like research agents that work over multiple days, enabling scalable retrieval, lower context costs, and improved task continuity for enterprise agents.