Spring AI Multi-LLM Architecture and Orchestration-focused Agent System
This course is an advanced program focused on designing Multi-LLM architectures and orchestration-centered Agent systems by strategically combining GPT, Gemini, and LLaMA based on Spring AI. Moving beyond simple LLM calls, you will implement scalable, stable, and continuously improving AI systems by applying Workflow Patterns and Multi-Agent structures. Furthermore, the course covers Circuit Breakers, Reactive Streams, Redis monitoring, parallel processing, and iterative evaluation loops to complete your capability in designing production-grade AI architectures. The ultimate goal is to grow into a developer who can design AI systems, rather than just being an AI user. 🚀
19 learners are taking this course
Level Basic
Course period Unlimited
Spring AI - Part 2 (Multi-LLM Architecture and Orchestration-focused Agent Systems) is now open.
Hello, I am Jinman Lee, the knowledge sharer.
Spring AI - Part2 is now open.
In Spring AI - Part 1, we primarily focused on LLM integration along with RAG, Multimodality APIs, Tool / Function Calling, and the utilization of MCP (Model Context Protocol).
In Spring AI - Part2, the main topics are Multi-LLM-based AI architecture design, Agentic Workflow patterns, and the implementation of Orchestrated Multi-Agent systems.
Spring AI Multi-LLM Architecture and Orchestration-Focused Agent Systems
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