ChatGPT and LangChain: The Complete Developer's Masterclass (Udemy.com)

Learned a lot, but not quite a skillset that is used in the world of LLMs, there is a lot more to it than just working with LangChain and Flask, could have been more valuable had we also learned how to put together the Svelte app, but it seems that LangChain library is ever changing so another reason I gave the stars I did as this course will be outdated in a year or so.

The course provides an excellent foundational understanding of LangChain, and I would highly recommend it to anyone looking to get started. However, I encountered some challenges as I used LangChain 0.2 instead of 0.1. This proved to be a significant difference, as the newer version deprecated the LLMChain function, which is covered extensively in the course. LangChain is evolving rapidly, and navigating the documentation can be quite challenging, with some functions only applicable to certain versions. This made applying the base knowledge a bit frustrating for me, especially when implementing Pinecone. Integrating Pinecone with LangChain required careful consideration of the right combinations of libraries and versions. The combination of these factors and the documentation’s complexity made the learning curve steeper than expected, but with persistence, it’s possible to master.

The lectures and explanations are second to none. The only reason why I didn't give a full 5* is because the course material is outdated. You can still apply a lot of the lessons using current releases that being said, and these tools update so quickly that it would be near impossible to keep up without redoing the whole course every month. Perhaps an additional section showing updated ways of doing things would be beneficial so we can see syntax updates without requiring a complete overhaul of the course material

Great course! Really clear and helpful. It goes through all the topics I had expected to with both really useful schema and theory explanation and with code as well (written step by step). I had already experience with text generation app (with OpenAI directly) and I have to say that this course give me a lot of new information. In the chapter 12 there is also the most important reason (for me at least) to use LangChain: the capability to change the components (such as LLM) in a super easy way. Unique negative aspect is that all the course use as LLM only OpenAI LLMs (no Anthropic, Google or others)... it uses gpt3.5 and gpt4. But it worth in any case 5 stars (hope in future this course could be maybe extended with maybe an additional chapter related to LLMs provided by other companies). Super suggested!

The first part of the course is great, 5 stars. The second part, where he builds an app, becomes too complex too quickly. You can easily lose track of what he is doing, and the focus shifts from understanding the building blocks of langchain to integrating everything in this structure of the app. Also, there are a lot of problems when integrating to the various tools he uses in the second part, together with the deprecated modules from langchain. Not a good experience in this second part, so I rated 3 stars.

Content is very well explained. Good for anyone trying to understand how langchain works and build Gen AI apps. The langchain library has been updated since the content was recorded, but all the concepts taught are still valid. OpenAI APIs are used in the course. If you use the free tier, there's a rate limit of 3 requests per min which may cause errors when running chains which exceed this limit e.g. when using agents. Free tier also doesn't have access to GPT-4.

I am thoroughly impressed with the course taught by Stephen. Their use of dynamic code, real-world examples, and clear explanations has made complex concepts easy to understand. The instructor's teaching style is engaging and effective, making the learning experience enjoyable and rewarding. I highly recommend this course to anyone looking to enhance their skills. Thank you for providing such valuable content!

This course covers how to use Python and LangChain and vector databases to create AI applications which use LLMs or ChatGPT. The final application created in the course is an LLM assistant web app which can answer questions about the content of PDFs uploaded by the user I highly recommend Grider's courses for any topic he covers. He is one of the best teachers of computer science topics on Udemy. He breaks things down into small steps and does not assume the student has a lot of background knowledge, which is very helpful when approaching relatively novel topics like LangChain, LLMs, and artificial intelligence

This course is excellent. It is well organized and provides solutions to production level challenges. Not only did I learn a lot about LangChain, I picked up some more advanced knowledge on Python in general. I like how the instructor also focuses on the user experience in addition to the backend. So, you are not just learning about LangChain. You are learning about how to use LangChain in a real-world app providing a good user experience.

I learned a lot about programmatically interacting with ChatGPT using LangChain. I did not have any exposure to begin with, so I feel I now have a good initial understanding of how to use LangChain and do some interesting stuff with it. Stephen is a really great instructor. I have taken several of his classes and they are all well put together and you can tell he puts a lot of effort into the courses, and provides a lot of his knowledge and perspective. IMHO, you can't go wrong with taking one of Stephen's courses.