According to @AndrewYNg, a new course titled "Semantic Caching for AI Agents" will be taught by @tchutch94 and @ilzhechev from @Redisinc, focusing on practical methods to apply semantic caching in AI applications (source: @AndrewYNg on X, Nov 19, 2025). He states that semantic caching can significantly reduce AI inference costs and latency by enabling faster responses to semantically similar user queries, which is directly relevant to production-scale AI agents (source: @AndrewYNg on X, Nov 19, 2025). For crypto traders tracking the AI-infrastructure narrative, this announcement elevates the cost-efficiency theme in AI agents; monitoring project updates that reference "semantic caching" or "Redis" can help gauge attention to this efficiency trend after the post (source: @AndrewYNg on X, Nov 19, 2025).