Building Ai That Remembers: Architecting Reliable, Context-Aware Enterprise Agents
 

Learn how to design and implement AI agents that retain context and perform reliably in everyday enterprise workflows.
Course details
In this essential course, Kay Malcolm-the vice president of product management at Oracle for the Oracle AI Database-shows you how transitioning from chatbots to memory-enabled agents can vastly improve context retention, reliability, and user satisfaction. Learn about the four types of memory: sensory, working, procedural, and long-term, and how these can be applied to enterprise AI use cases. Dive into practical strategies for integrating data, memory, and tools within an AI infrastructure, focusing on safe governance and compliance measures. Explore high-level architectures that incorporate robust memory systems and ensure data security across workflows. Complete hands-on labs where you will design, build, and scale AI agents capable of maintaining and utilizing memory effectively. Aimed at data leaders, product teams, and IT personnel, this course equips you with the skills to implement memory-enabled agents confidently, ensuring smarter, more efficient enterprise solutions.
Skills covered
Data Governance, Data Management, Artificial Intelligence (AI), AI Policy, Governance, and Regulation, Agentic AI Development
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