A very solid introduction. The lessons are easy to follow, though it's up to you as a learner to pay attention and not just copy/paste code. The content has not been updated to match changes in the libraries (e.g. models no longer existent and changes to lang chain_core.prompt) but these are the same issues you'll need to face in real world development.

This course gave me a clear, hands-on introduction to Generative AI applications. The step-by-step explanations and practical exercises made complex concepts easy to understand and apply. Highly recommended!

Overall great course on Gen AI but there are some LangChain code snippets to be modified especially in the guide project because of version changes.

HandsOn Lab is good but the LangChain versions used could have been v0.1.17 or above to learn the latest features.

it was good, but the vid content was just to shallow, while the readings and the other stuffs were amazing!

The course is perfect for a beginner; however, concepts can be little bit more explainable.

This is a great course for those who want to begin a new journey with AI.

Some of the labs were broken, they need to fix Llama LLM integration

Excellent Course. Alot of fundamental and topics are being covered.

its good but involved more technical aspects

very informative for beginners,

helpful

The video content is good. The last lab was amazing because it provided step by step explanation of implementing the app. However, the labs in the first 2 modules are very long and verbose jupyter notebooks with minor bugs here and there. The improvement in the delivery of the labs or going into details of the specifics in videos will help improve this course.

The first course in the specialization is ok. Code is very condensed and especially the Flask part is copy paste and not really explained. Furthermore, some code snippets are outdated and do not work in course. Fine for an introduction but it should get more flesh and bone in the following courses.

The videos are too fast and robotic. Concept explanation is very fast and abstract. The LLM output generates random information on its own and there is no explanation for it.

This course is quite outdated as it uses an old version of Langchain, which means that the labs are kinda useless. Some of the concepts still apply.

Very basic level course, could have been more detailed, but does the job.

Most of the code does not work. some models are gives end of lifecycle errors and others plainly do not work. some API keys also does not work either. course content is well structured but the estimated of completion is grossly underestimated i.e. a lab that takes 4 hours to complete marked as a one hour assignment.

Most of the contents are taught by an AI voice, which is very monotonous, same-paced and lacks any immersive experience. This is just a very fast-paced reading by some AI, not teaching something meaningfully. Waste of time!

Most of the content is poor quality, repetitive, surface-level, and entirely AI generated (both the script and audio). Also the lab doesn't work and nobody is responding to people complaining about it on the forums