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-: Hey there, Eden here.

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And in this video I want to show you some cool resources

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that the LangChain team has officially curated for us

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on learning the LangChain ecosystem.

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So in the LangChain website over here,

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if I go to Resources, we have here the LangChain Academy.

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Now the LangChain Academy is a bunch of online courses,

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which are free, which offer valuable information

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on how to use and how to build on the LangChain ecosystem.

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So for example, I show in my course the gist of LangSmith.

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I certainly do not go in depth

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and there is a lot of depth in the LangSmith product

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on tracing, on monitoring,

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on evaluating our LLM applications.

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And you can learn more about this

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in this LangSmith course over here.

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So let me just show you how to go to this course.

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Going to sign in into my user.

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So here I can go and I can enroll for free.

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And here we have the video lessons.

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All right, so this is the course.

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You can see it right now on the left side,

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you can see all the videos in the different sections.

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And I think it's a very good course

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if you want to take an application from a POC

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and to take it to production.

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Because if you want to do this, you have to trace it,

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you have to monitor it,

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you have to evaluate it on real-time,

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and you need to collect human feedback on your users.

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And what answer did you generate?

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Were they good, were they bad?

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And overall, this course gives a very good introduction

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on how to use the LangSmith service in order to do so.

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Now, I think this is one of the best,

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if not the best products for tracing, for observability,

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and for monitoring LLM applications right now.

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So it doesn't really surprise me

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because LangChain are the leaders in this ecosystem,

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at least the way I see it.

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So you can take a look at the videos

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and all of the videos comes with resources

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that you can actually use and you can download,

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you can check out the GitHub repositories if you want

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to run things locally or in your notebooks.

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So I really do recommend it and it's really well curated

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and it's really well produced.

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So good job to the LangChain team

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and I really recommend this course.