LLMs as Operating Systems: Agent Memory

DeepLearning.AI is a specialist online education platform founded in 2017 that focuses on practical, industry-relevant training in artificial intelligence and machine learning. Designed for learners at multiple levels, its courses emphasize hands-on projects, clear conceptual foundations and tools commonly used in industry. The platform’s flexible online format makes it accessible to professionals and students worldwide who want to build skills without relocating.

Courses and specializations are structured to help learners develop applied portfolios, with real-world assignments, code notebooks and community review. Collaboration with leading practitioners ensures content remains current with industry practice, and certificate programs help demonstrate competencies to employers. The platform also supports career transitions, offering guidance on interviewing for technical roles and connecting learners with opportunities to showcase their work.

For international learners seeking concentrated, practice-oriented AI education, DeepLearning.AI provides a clear route to upskill quickly and build demonstrable expertise. Its global learner community, modular course design and emphasis on project-based learning make it a pragmatic choice for those aiming to enter research, product or engineering roles in the AI ecosystem.

The LLMs as Operating Systems program is a non-degree course that teaches students how to build agentic memory into applications. It's taught by Charles Packer and Sarah Wooders and lasts several weeks. You'll learn how to manage context windows and build persistent memory systems.

The curriculum covers topics like managed memory, context windows, and multi-step reasoning. You'll learn how to use the Letta framework to add memory to LLM agents and create MemGPT agents with core and archival memory. Hands-on components include building and editing agent memory and implementing multi-agent collaboration.

After completing this program, you can pursue careers like AI Engineer, Memory Architect, or Natural Language Processing Specialist. You can work in industries like AI, machine learning, or research, and potential employers include companies that specialize in AI development, tech, or data science.