LangChain & LangGraph: Building Agentic AI, RAG & Chatbots (Udemy.com)

I bought this course because I like a lot your (LLM Fine-Tuning for Beginners: HuggingFace & Unsloth ) course , it was well organized and delivered . But I'm disappointed of this one ,that it wasn't in my expectations . the way that you keep deleting the codes and rewriting them in in each video and not starting from zero is really confusing . hope you're taking this in consideration next course since you are really good instructor for now I''l try looking for another supportive courses

Yes, getting to know lot of technical details that makes a LLM and drives a LLM with clear code examples, however, some libraries need to be explained in more details as this course is for beginners.

I was using other training websites till date and this is the first course on udemy. I rate 100/100 for this course and the trainer. His explanations and subject are right on point. No drama no lagging, straight to work ..!! thank you so much to the creator of this course.

Instructor just shows the code, he doesn't teach anything. Just a slightly alternate step and everything stops working. For reference, I used lm studio, and it's been 4 hrs., langsmith is not updating at all even after so many tries.

Amazing course for upskilling on AI technology. Everything from the beginning is covered. Clear Explanation!. It also covers the conceps of FastMCP which is absolutely a credit for u Easily able to understand 'what' is all about and 'how' terms on Traditional RAG, Agentic RAG, Langchain framework. Overall Its a great learning. Thank you!

This course helps in understanding how to build Chatbots ,Custom Tools, RAG Application, AI Agents with Langchain. My favorite was Section 8 -Building RAG application with PDF files using PyPDF- 1. Exctracting PDF files (PyPDFLoader) 2. Text splitting into chunks (RecursiveCharacterTextSplitter) 3.Embedding (OllamaEmbeddings) 4.Vector Stores(Chroma DB) 5.Retrieving from Vector datastore (Similarity Search) 6.Retrievers in Langchain( Batch, RetrievalQA)

This course proved very useful and aligned perfectly with my goal of building a RAG (Retrieval Augmented Generation) or Agent system to query internal documents. Specifically, I appreciated that the focus was on creating a system that can operate entirely locally without requiring an internet connection. However, it's important to note that while the course teaches you the principles and helps you build the components, achieving a completely smooth-running system solely on a local machine proved challenging. This was primarily due to hardware limitations and the inherent constraints in querying local LLMs effectively for performance. A significant takeaway was learning how to test and evaluate the systems built. The course covered evaluation using both manual unit tests designed for RAGAs and also introduced online solutions like DeepEval. If you're hoping to perform this evaluation entirely on a local platform, you might find it unsuccessful, as I did. This seemed to be due to various limitations with internal LLM processing when using LLM like Llama3.2 for evaluation purposes, which is a point potential learners should be aware of. Overall, the course met my requirements and provided valuable new knowledge. It successfully demonstrated the concepts of building RAGs/Agents and introduced methods for testing them. The course doesn't require prior AI knowledge, but a solid foundation in programming and Python is definitely necessary to follow along effectively.

I really appreciate Karthik K.K.'s YouTube videos on AI, testing, etc. and was eager to take a course from him. I just did Wikipedia and DuckDuckGo searches from within a Python Jupyter notebook using LangChain's "Comunity Tools". And I'm looking forward to soon learning how to execute them from within my local LLM. It's a great course!

Outstanding Course on AI Agents and Chatbots! I recently completed this Udemy course, and I couldn't be more impressed! The instructor's expertise and clear explanations made complex topics accessible and engaging. The course is well-structured, starting with the basics of AI agents and gradually diving into more advanced concepts like RAG and integrating local LLMs. The hands-on projects and real-world examples were incredibly helpful in solidifying my understanding. I especially appreciated the detailed walkthroughs and the practical tips for implementing these technologies in various applications. Whether you're a beginner or have some experience in AI, this course offers valuable insights and practical skills that you can immediately apply. Highly recommended for anyone looking to deepen their knowledge in AI and chatbot development!

This is an excellent course from Karthik. It is nicely structured from start to end. It gives a detailed picture of Building and Testing Chatbots, Rags and AI Agents using LangChain and LangSmith. This course is the need of the hour for anyone who wants to build LLM application is using LangChain. Thank you Karthik.