I bought this previously and have been reading it, and I see it was recently updated. I felt the previous content was a bit lacking, but looking at the table of contents now, a lot of material has been added. haha I'm busy these days and don't have much time to read, but I'll give it another shot.

I needed knowledge on how to utilize Multi-LLMs with Spring AI and how to develop Agents... and this was very helpful. The explanations were clear and the examples were great, making it easy to understand.

Following Part 1, I highly recommend this Part 2 lecture not only to beginners who have just encountered advanced Spring AI courses but also to those who need efficient architecture design. In my case, thanks to the detailed learning materials provided for the Multi-LLM architecture and Agentic Workflow configuration, I am learning with ease as I can quickly grasp core logic by directly executing the provided code rather than just keeping complex orchestration concepts as theory.

I recommend this to beginners who have just started with Spring AI, as well as those who need a review. In my case, thanks to the detailed learning materials—ranging from the provided prompt configurations for Spring AI to Thymeleaf, React, and the backend—I have been able to learn comfortably by running the provided code immediately and quickly grasping the core logic.

It was great to be able to learn through hands-on practice, testing various functional examples ranging from the theory of Spring AI to applications like RAG and MCP. It was very helpful. (^^)