Loading...
Loading...
This free short course teaches how to build AI agents with autonomous memory management using the Letta framework and MemGPT approach. Taught by Letta's co-founders, it covers building management systems for persistent memory, conversation memory control, fact persistence, and multi-agent collaboration. The course runs approximately 1 hour 22 minutes with 8 video lessons and 5 code examples.
Product managers overseeing agent-based products benefit from understanding how memory constraints shape agent capabilities and user experiences. The course explains why agents need persistent memory for complex tasks and how memory architecture affects product design decisions.
Building on foundational concepts, this resource explores technical skills at a deeper level. It's designed for PMs who have some AI experience and want to develop more sophisticated skills.
Ready to explore this resource?
Go to DeepLearning.AIThis free interactive course teaches product managers how to use Claude Code—Anthropic's CLI tool—for AI-powered PM work. Uniquely, the course is taug...
This comprehensive guide addresses systematic decay in AI systems through structured prompt optimization practices. The article establishes that promp...
This guide by Miqdad Jaffer (OpenAI Product Lead) establishes context engineering as the foundational discipline for building intelligent AI products....