3 out of 5.
3 out of 5.
I wouldn’t recommend purchasing this course if you are expecting a genuine learning experience with active teacher–student interaction. As a student, you don’t feel personally engaged or supported by the instructor.
The course feels more like a vending machine model: you insert a coin and receive PDF files and videos. There is no meaningful feedback loop, dialogue, or sense of mentorship. Because of this, it does not function as a full educational course, but rather as a static content package.
For learners who value guidance, interaction, and an evolving learning process, this format may feel limited.
I received only Part One of the course, and while I appreciate the effort and structure behind it, the overall experience was disappointing. A large portion of the content is highly theoretical, whereas I was expecting more practical, up-to-date insights. Module 2 of the first part, in particular, feels noticeably outdated.
Based on the tools and references used, the course appears to have been created around summer 2025 (my personal impression). By January–February 2026, the industry had evolved very rapidly. During this time, several key tools underwent major changes: Higgsfield made significant progress, Nano Banana Pro introduced new workflows, and Kling advanced to version 2.6. The difference between ChatGPT-4 and ChatGPT-5.2 further highlights this gap. These developments meaningfully affect how professionals work today and set new expectations for modern AI-driven education.
I purchased this course around the New Year, expecting a program that reflects the current state of the field. While the foundation of the course is solid, it would benefit greatly from an update to better align with today’s tools, capabilities, and professional practices.








