nice

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GOOD

good

Good

GOOD

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nice

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Videos present information very fast with spoken text mostly just reading out slide content in minimally longer sentences. This leaves no time to benefit from the combination of audio and video. In order to remember any details videos need to be re-viewed or be stopped frequently. The tools used during the course always come as a surprise and multiple accounts for different tools would have to be created over time. It is not understandable why the same environment used for the final exercise cannot also be used for the different hands-on exercises.

Buen curso, pero malas traducciones al español. Recomendable seguirlo en inglés. Es contradictorio en un curso que explica las ventajas de la IA -especialmente en el tratamiento de textos gracias a los LLM (Grandes modelos lingüisticos)- haya generado tan malas transcripciones de los videos y sobre todo de las pruebas / Test al español... Resultan confusos y erróneos y denotan la falta de supervisión de un especialista -humano- (en mi opinión, el verdadero peligro de la IA... Más allá del sesgo, o la ética...).

Para los que apenas estamos tratando de entender que es y lo que hace la inteligencia artificial, el curso no es taan intuitivo. Sobre todo porque las preguntas de los exámenes o se siguen de lo que se revisa en el curso (asume que conocemos más herramientas de las que ahí se mencionan y su funcionamiento) o porque se enfocan en cuestiones muy técnicas que para los que no somo s ingenieros y solo queremos tener ideas de qué y cómo funcionan estas herramientas, pueden sobrepasarnos.

The course is well created, but there are very few reading materials, most of teaching is through videos and interviews, so notes are really recommended to be taken. However, the assignments and quizzes are very poor, as they often require answers by memorizing names of software, or specific results related to optional material throughout the modules. I believe that reminding what a program does, and selecting the right alternative does in fact add you a skill.

I thought there was too much emphasis on different AI tools. It felt like an infomercial and the quizzes were primarily reinforcements of AI tools without much substance. I also thought the AI model that narrated the videos sounded like a robot. The language model spoke too quickly without much inflection and I found it challenging to take notes. I preferred to hear actual humans speak. I thought the labs were helpful.

This one was very similar to the "Generative AI -Introduction and Applications" course which i already did in the general certificate to become IBM Generative AI Engineer. It focuses more on the different tools itself, but I was zooming out a lot at the double content therefore couldn't follow the single tools. What be good to make one out of the two...

Some of the lessons were really awesome, but in this course so many AI tools were introduced in a too cursory manner. It would be more effective to have at least a good summary/list/recap of these AI Tools for future use. Also, given how rapidly AI tools are evolving, some of the content and test/quizzes responses might be already outdated.

It's too repetitive from time to time, I'm doing the IBM Generative AI Engineering Professional Certificate and this course with the introduction to artificial intelligence usually covers the same topics but deeper, it's too slow and repetitive for me.

The course covered the basic but it already started to feel a bit dated given the rapid changes and the developments as it comes to the tools they mention. Ex: some of the weaknesses of the tools they mentioned no longer exist