Tarzan's honest review, [Inflearn Award Bestseller] How to Become an AI Automation Expert Without Coding, The Complete n8n Guide course

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Hello. Thank you for leaving a review. I understand that the points you mentioned could certainly be disappointing. However, we are living in an era where AI automation and LLM-related tools undergo dozens, or even nearly 100, updates in the short window between the start of production and the completion of a course. While I also find this regrettable, it has become practically impossible for AI-related lectures to perfectly keep pace with the speed of tool development. Furthermore, we have entered a world where dwelling on such changes can actually cause one to fall behind. It is difficult to keep up in this field if your learning stops whenever something is even slightly different from the latest version. The important thing is not to memorize every changing UI, but to practice using the baseline version, understand the overall structure, and develop the ability to interpret and adapt to version differences, policy changes, API updates, and service structure shifts on your own. As you mentioned, this is exactly why IT and AI companies no longer hire juniors to teach them everything from scratch like they used to. In the industry, the ability to adapt while looking at constantly changing tools, official documentation, API policies, and company-specific service changes is considered a fundamental competency. Ultimately, to survive long-term in this field, the "ability to solve problems and find your bearings in a changed environment" is more important than the "ability to always follow a lecture exactly." The core of this course is not about memorizing button locations or the UI at a specific point in time, but about **designing automation flows using n8n, connecting AI tools, and understanding the structure of actual business automation.** Additionally, a distinction is needed regarding the "latest version" you mentioned. Currently, n8n does not exist as a single latest version; rather, **latest versions of the 1.x series** and **latest versions of the 2.x series** coexist. For example, as of June 17, 2026, the **latest version of the 1.x series might be 1.123.57**, while the **latest version of the 2.x series is 2.26.5**. In other words, "latest version" does not automatically mean 2.x; you must distinguish the latest version within the major version that the course uses as its baseline. This course was **produced based on n8n version 1.x**, and I have noted this in the lesson notes. In particular, since version 2.x has changes in the structure and operation of Code Nodes compared to 1.x, you must consider the difference in version series to follow the practice sessions in the same flow as the lecture. In development and automation practice, using the version with the highest number is not always the best choice. While it is easy for beginners to think "the latest version is the best version," in the actual field, people often use verified versions, versions compatible with documentation, or baseline versions set by a team or project. This is because latest versions, while providing new features, can bring structural changes, compatibility issues, and unexpected errors. Therefore, while it is difficult to re-record the entire lecture for every update, I reflect significant changes that affect the practice sessions in the lesson notes as they are identified. The changes I refer to here are not just screen layouts or button positions, but factors that can affect the results, such as n8n version shifts, Code Node structural changes, API usage changes, Google policy updates, external service authentication changes, and service policy shifts of various companies. Ultimately, the key takeaway from this course should be the ability to set a baseline and design workflows in a rapidly changing AI automation environment, rather than mimicking a screen of a specific version. I believe you will understand the purpose of this course more accurately if you study with the lesson notes from that perspective. Also, if you encountered any roadblocks during the practice, I feel it is a bit unfortunate that you finalized your judgment through a review rather than utilizing me more actively through questions. If you had left questions about things that are difficult to judge alone—such as version differences, policy changes, or API updates—I could have provided guidance within the possible scope. I am leaving this long reply because I find that part regrettable. Thank you for taking the course.

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