Most of us are in a transition phase from AI prototypes to production systems. Many frameworks that appeared impressive on demo servers have failed badly in real production environments. It is important to consider all architectural pillars and aspects during the design stage. Delaying these decisions only adds time and cost later. Agentic/AI consumes tokens, and token usage directly translates to monetary cost. This course offers a clear explanation of AI/agent caching techniques and shows how to evaluate the effectiveness of different caching strategies.
Attend the course here: https://www.deeplearning.ai/short-courses/semantic-caching-for-ai-agents/
