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.

It was a lecture where I could systematically learn about Multi-LLM architecture and Agent-based AI system design. It was great to experience structures close to actual services through hands-on practice, such as Orchestrators, Workflow patterns, and quality evaluation loops, rather than just simple LLM utilization. I think this is a helpful lecture for developers interested in AI backend architecture!!

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.

It was very well-organized, and I loved that it wasn't just about mindlessly following along. Even the fact that materials were provided in a copy-paste format to minimize tedious input actually helped quite a bit in understanding the overall structure. The curriculum is structured so well that I was able to clearly grasp the core concepts of Spring AI. The quality is much higher and cleaner than other lectures that just show you how to ask random things to a prompt. I truly feel like I'm learning. Thank you.

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.