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I found that the course wasn’t as well structured as I had expected. This became clear once I started taking notes and realized it was quite difficult to identify a logical flow or to group the information in a meaningful way. The material often felt fragmented, which made it harder to see how different concepts connect to each other. Another aspect that stood out to me was the format of the lessons. Most of the course consists of static slides or images accompanied by a rather impersonal voiceover. In previous courses, we had instructors who appeared on screen or interacted directly with the learners, explaining concepts in a more dynamic and engaging way. That personal interaction made a big difference in maintaining attention and motivation, and I really missed that here. Additionally, the examples provided throughout the course tend to be quite long and sometimes difficult to follow. While detailed examples can be useful, in this case they often felt overwhelming, and it was hard to extract the key ideas or practical takeaways. Breaking them into smaller, clearer parts or providing summaries after each example might make the content much easier to digest. Overall, I appreciate the effort that went into creating the course, but I think it could be significantly improved by refining its structure, increasing human interaction, and making the examples more concise and focused.

This course is more insightful than the first in the series and introduces some genuinely useful concepts, particularly around structured reasoning approaches like Chain-of-Thought and Tree-of-Thought. These sections finally felt relevant and applicable, especially for more complex problem-solving. That said, the course remains extremely repetitive and over-verbose. Many modules restate the same ideas (clarity, context, iteration) under new labels, which often feels like padding rather than progression. Several so-called “new” techniques (e.g. prompt hacks) are simply basic context-setting that’s already been covered multiple times. The lab exercises and AI voice-over podcasts add little learning value and feel unnecessarily resource-heavy, especially given the environmental impact of AI. The course would benefit greatly from tighter editing, fewer redundant examples, and a clearer distinction between genuinely new techniques and foundational principles already introduced earlier.

Hello. Thank you for the course. I liked that the practical aspects were more than the theory. However, there are several reasons why I did not rate it with 5 stars. The explanations in the videos are not simple and understandable. This creates difficulties for those who are new to SI. Most of the topics are explained by SI himself in a simpler and better way than in the videos. The large number of tasks makes the course boring. If there is anything you can do to improve the translation of the course content into foreign languages, I would be very happy.

El curso me pareció útil porque aprendí teoría y conocí algunas herramientas de IA que no había usado, pero honestamente sentí que fue más largo de lo necesario para lo que realmente enseñaba. Muchas cosas ya las aplicaba en la práctica, así que no me impactó tanto como esperaba. De igual forma estuvo entretenido, pensé que sería más profundo, pero supongo que la demás información está en los demás cursos que le siguen.

The content is solid but I do find that there is a general lack of explaining how to separate the text prompt aspect. I was hoping to have some structured models for writing text prompt maybe event templates to fill and customize. You do get to visit all the structures and their methodology but it does lack some general guidance aside from the copy paste text that is offered for the labs.

Para quem não é falante da lingua inglesa a experiência do curso fica muito comprometida. A impressão q se tem é q este curso não foi pensado para este publico apenas dispobililizado tradução basica de parte do curso. Caso tenham interessa em faze-lo teria muito prazer em dar um feedback completo.

Good overview on basic skills. Some of the narrated material is difficult to follow. Thankfully, the transcript provides clarity. Additionally, parts of the content seem to be auto-generated, evidenced by the presence of arbitrary abbreviations that are unrelated to the respective passages.

Interesante y muy bueno, el problema es que el laboratorio, a la hora de ingresar las instrucciones son en inglés. Cosa que dificulta el aprendizaje en el laboratorio para el publico hispanohablante.

El curso debe reestructurarse y tener opciones mas amplias de acuerdo al perfil del estudiante dónde debe incluir herramientas didácticas y el nivel de manejo de cada uno de los participantes.

It's ok for a quick basic overview, but they could explain more instead of showing just examples. The example most obvious was the 'weighted' terms syntax in text-to-image generation

Too superficial and some times incorrectly present the topic, leading to confusion in the concepts. This course should have been a summary of this: https://www.promptingguide.ai/