Brandon, I am nearly 70 years old and I have been a programmer for over 4 decades. I started as a Cobol programmer and been updating my skills as I went along. Never has been my learning at such a rapid pace as it is in the last year or so since all the AI tools have been arriving. I had just a basic knowledge of Python earlier, but now I have been able to do wonderful things with what I can develop with AI agents using tools available. Your tutorials have been the best I have seen so far. I can't thank you enough for providing the complete source code and explaining very well everything in your videos, including the environment setup. Keep up the great work!

This tutorial is much needed. Please create one on Langgraph as well.

Brandon, this LangChain tutorial is hands down the best I've seen! You nailed all the fundamentals and went deep into the details in such a human and relatable way. Your style makes complex stuff super easy to understand, and the practical examples are spot on. Love that you didn't push any products, just pure high-quality content focused on real value!! This is a must-watch for anyone diving into the matter. Huge thanks for creating such an awesome resource!!! I'll never look back at any other framework after understanding the power of LangChain. I hope you'll create a tutorial with the same level of detail for the new LangChain GenUI. Your style makes learning so much more enjoyable and effective! Thanks for all the great content!

Wow, this LangChain Crash Course was amazing! It broke down the concepts way better than the official documentation. I learned so much from this video, I just had to come online to say thanks! 😂 Really clear and to the point. Please keep making more videos like this on LangChain, LangGraph, and similar stuff! Thanks again! 🙏🙏🙏

Brandon, this course is outstanding! It's exceptionally well-structured, clearly explained, and superbly produced. I aspire to create tutorials to my channel with half of the quality you've got here :)

Great tutorial... Now I started to understand better Langchain... I bought one Langchain course from Udemy and after watching the first section I just got lost and frustrated... Your explanation is far better... Thanks a lot... Liked and subscribed... definitely I will watch more videos from you.... Thanks again!

This is by far one of the best courses on youtube, hands down. Brandon is great! (disclaimer: I don't know Brandon personally)

Surely one the best tutorial videos I have come across on youtube so far. Not just for Langchain.....but across all the video tutorials for any technology I have seen so far......This is precise, crisp... hits the nail on the head with the learnings!!! and the best thing is it packs so much in.. like a crash course.. not wasting any time at all on typing the code during the recording... saves a lot of time and does not digress the listeners attention!! @brandon you are a good teacher and you know how to hold attention of students like me who sometimes never go beyond 10 mins into the video if the teacher is not able to hold attention and present him/her self well !!! SUPER JOB!!! FORMAT of the Training EXCELLENT!!!

the best chatbot tutorial i've seen by miles..

after 46 mins into videos. amazing man ❤️‍🔥. i really needed this. this is the best resource to learn langchain i came across. full review after finishing the video!!

Hi Brandon, Thank you so much for putting together this Master Class. Previously, I was watching videos of older Langchain versions and encountered many changes and warnings when coding. Those videos had numerous gaps. After watching your videos and coding along, I’ve found it much easier to follow the entire Master Class. Your explanations are very clear, and your visual diagrams greatly help in understanding the flow. Thanks again!

It takes time and you have make sure you know it but WOW this is the best class so far by a large margin!

Hi Brandon, I just wanted to express my gratitude for your incredible LangChain tutorial. Your explanation was crystal clear and went straight to my head. I’ve watched numerous tutorials, but none have provided the depth of information and clarity that yours did. Because of this, I have a special request: could you please create a similar type of video on LangGraph? Your teaching style is truly exceptional, and I’m confident that a tutorial from you on this topic would be immensely beneficial for many learners like myself. Thank you so much for your hard work and dedication!

This channels definitely deserves more! Kudos to you Brandon! Thanks for all your hard work.

Thanks! It's a great tutorial that explains a lot, and I'm really glad.

This is the best Langchain tutorial ever created

This is the greatest tutorial I have ever seen! Thank you so much!

This was an amazing presentation. Thank you

Hands down the best LangChain tutorial I've watched. Thanks a lot, Brandon!

Such a great video explaining LangChain in detail. This should get all the likes! LangGraph please!

Best tutorial about langchain not only on yt but on the entire internet. You are a god bro ❤. Please make more such tutorials on langgraph and langsmith

This is much better than official documentation. Loved it. Thank you for the video

This is the best free video that I've ever seen about genAI

Bro I would literally pay for this information! You r directly on point. I have no idea, how did i find this treasure.

This is some serious quality tutorial. I have been working on this stack for 1 year now still you made me learn a thing or two. Amazing....

Hey Brandon, I played around with Langchain with different learning sources for about two month. But this course gave me more insight than all others together. Very well structured, amazing didactic skills and super performance. Only the wiki example … I would have recorded it once again as it doesn’t match the accuracy of the rest (and yes: I understand that you wanted it to be done and out 😂) Thank you very much. Also for posting it here for free. 🖖

Thanks for your tutorial! just finished the entire video. The course is very well structured, and instruction is very clear.

This is such a great tutorial. I've learned a ton! Thank you so much for this amazing course.

You're the man ❤️👏 we're looking forward to see some similar content on knowledge graph in langchain (neo4j etc...)

One of the best tutorials I’ve seen🎉

Thank you so much, Brandon! So excited to jump into this!!!

Thank you Brandon.. Very useful tutorial for a beginner to start on LangChain. Really recommend this video

The best LangChain video.

Why all projects use OpenAI, they removed the free credits and students don't have money to invest to learn. So kindly make use of some open source model also.

This is a great tutorial. I have been searching langchain courses for a while, and this is the best of for now. Thank you for your effort, it was very helpful.

the consequence of the video is awesome.

Thank you very much for this masterclass ! Helpfull I used ollama with model = Ollama(model="phi3", ...) to do your code. Works perfect. Thank you !

Very helpful video. Thank you so much for the content. I really appreciate what you have done in this video.

Brilliant tutorial which explores to the depths! Btw Brandon, how to incorporate google gemini or groq or ollama instead of openai service? The prompt template is different for each case. Please make a tutorial on incorporating the same!

Loved that you recommended watching first on double speed - was actually doing that by the time you said it :-)

thank you, the way you are explaining these concepts is very easy to follow

you deserve more subscribers Brandon. "A" class content. Can u do a tutorial on fine-tuning pre trained models and also about GraphRAG? Thank you in advance

Fantastic. Thanks so much 🙏🏽

A very well done and This is simply Awesome explanation.. Eager to watch your explanation on different topics.

This video is the awesome video ever

This really is a wonderful, a huge ton of great work - well done, very high quality!

Super informative and very well explained, great job Brandon 👏

This is great. And I appreciate learning about poetry. But for beginners, they need to learn what’s going on with environments so running through the standard way would be helpful

This is an outstanding tutorial. Exceptionally well done!

Hey Brandon! Thanks for this!

Invaluable course!

I can’t thank you enough for the time and effort you put into creating such high-quality content. It’s clear that you’re passionate about helping others, and your hard work doesn’t go unnoticed. Looking forward to more amazing videos from you! 😊 chain = great_video | detailed_explanation | grateful_for_effort | look_forward

If you run into encoding issue while running 1a_rag_basics, then modify TextLoader command as below loader = TextLoader(file_path, encoding="utf-8")

Finally you dropped 😮

If anyone is having trouble running the 1a_rag file around 1:33:00, the solution that worked for me was to change line 24 to: loader = TextLoader(file_path, encoding = 'UTF-8')

Great tutorial. 🎉 I am curious to learn which app you use to do the drawings and the whiteboard. Could use those in my classes too. Thanks.

Thank you Brandon! I hope you can make one about LangGraph or LagServe in the near future.

Hey Brendan, great tutorial. Thanks for sharing....Many Blessings...❤

Hi Brandon! Very cool content! Ty, man! 🖖

Fantastic thanks Brandon.

really easy to understand and follow along step by step, thanks a lot

Awesome - thanks, Brandon!!!

Thank you so much for creating such fantastic content 😃😃

Bravo!! Can you please provide a video on LangGraph as well?

Hi Brandon, A video on How to use openai assistants for RAG application with memory instead of using langchain would simplify a lot of things.

👍 Thanks for the videos and everything.

Awesome!! Thanks!

Cool work , for the part of the prompttemplate final example where it doesn't work, tey to use the .format() that comes with it... hopefully it will work

Brilliant, thanks great content

please do one focusing on agents

Mad Maxxxxxx course.

Totally the best ever.

Thanks Brandon!!

Hello Man You are awesome life saver. Please create a project course with lanchain with real world examples.

nice tutorial !!

brilliant

Great Video 🙌🙌

Awesome video!!!!

Amazing, congrats 🎉

Amazing!!!

Wow. Amazing tutorial

what a great tutorial!

post full video about Claude 3.5 sonnet model and Claude API - full course video

Amazing course! Thanks Brandon! BYW: What is the tool used draw stuff? That looks so neat👁‍🗨

first and foremost really awesome tutorial. can't wait for more like this. I'm having trouble with 2b_rag. i tried various thresholds for the retriever and none are working.

Awesome, detailed video.

Thanks Brandon :)

Hi Brandon, Could you please make a project video on using crewAI for data Analysis from a SQL database?

Tremendous! Thank you

Please create in langchain javascript...much needed

Hey Brandon, just wanted to get your thoughts on while creating an Agent, what if the agent needs more information from the human i.e follow up questions. We can make a custom tool that asks the question back to the user. However what would the implementation of this be for a web application look like? Would you suggest the follow up question as the final state and then invoke the agent again once the user replies? Thanks!

thank you for sharing your knowledge ! Question: for tools creation the docs mentioned a different approach using the @tool method. Can you explain a bit what the difference is in approach ? ☀

please make a video on visual question answering using llm or multi agent

@codewithbrandon Which theme it's actually looks beautiful

Thanks for this tutorial. The form to request access to the code is missing from the page in the description

Hi Brandon, going through your tutorial I saw that once you copy paste the location from poetry shell the squiggly lines should disappear but for some reason this isn't working for me as it says the dotenv module is not found. Thanks for providing this resource!

Congrats

Thanks Brandon. I got pycharm already. Will adding poetry create any issues? Is poetry an IDE ? or is it like pip

Adding tutorials on memory would be useful too

@codewithBrandon, can you share the tool which you are using to make the video tutorials and video please as well?