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AI Agent Memory Architecture with Spring AI – Free Udemy Course

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$34.99Free

AI Agent Memory Architecture with Spring AI

Name: AI Agent Memory Architecture with Spring AI
Availability: InStock
Rating: 5 (150 reviews)

About This Free Course

Most AI applications do not truly remember users.
They simply replay chat history.

In this course, you will learn how to design and implement real memory systems for AI agents using Java, Spring AI, PostgreSQL, and pgvector.

Using a practical AI Travel Planner project, you will build a layered memory architecture that enables AI assistants to remember users correctly across conversations.

This is a backend engineering focused course designed for developers who want to move beyond basic chat applications and build production-style AI systems.

What You’ll Build

Working memory using conversation history

Persona memory for persistent user facts

Episodic memory using conversation summaries

Semantic memory using learned preferences

Vector similarity search with pgvector

Async memory processing pipelines

Centralized prompt assembly using Spring AI Advisors

What You’ll Learn

Why chat history is not real AI memory

How modern AI memory systems are structured

How to design layered memory architectures

How embeddings and vector search work in practice

How to retrieve relevant memory dynamically

How to build scalable AI backend pipelines

How to personalize AI behavior across conversations

Technologies Used

Java

Spring Boot

Spring AI

PostgreSQL

pgvector

By the end of this course, you will have a complete understanding of how real AI memory systems are designed and implemented in modern backend applications.