Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Unlock the potential of LangChain and Large Language Models (LLMs) with this comprehensive course designed for AI enthusiasts and developers. From foundational concepts to building advanced applications, you’ll gain hands-on expertise in integrating cutting-edge AI tools to solve real-world challenges. Begin your journey by setting up your development environment, including Python and essential APIs, to create an optimized workspace. Dive deep into the core principles of LLMs and LangChain, exploring their components like chains, agents, memory, and parsers. Through engaging videos and hands-on exercises, you’ll learn to construct AI-driven solutions with precision and scalability. As the course progresses, you’ll tackle real-world projects, such as a newsletter generator, PDF data extractor, and multi-document chatbot. You’ll also explore creative implementations like an image-to-text recipe generator, gaining practical experience with tools like Streamlit, HuggingFace, and Chroma DB. Whether you're an AI enthusiast or a seasoned developer, this course offers valuable insights and practical skills. A basic understanding of Python is recommended, making this course suitable for learners at an intermediate level.
NL
Good introduction course. Really good if you already know LLMs and want to scale up.
LL
Codes are outdated. But still offers a practical introduction to the world of LLMs and Langchain.
显示：10/10
This was one of the best courses to learn the LangChain framework, this new framework seems to do magic using LLM's as its wand, so what are you waiting for be the angel and start experiencing the magic. The Course instructor has also provided a deep insight on the subject. Loved it. Thank you sir
Excellent course for Learning LangChain and LLMs, Only problem is that few functions and codes used in this Course are deprecated ( predict() is replaced by invoke() & .llm is replaced with langchain-community ). Other than that, this is an excellent course and offers 4 amazing Projects
This is very good course, covering fundamentals, details and plenty of examples with one major problem. The API used is 90% outdated and you will have to use the new ones for a real life project. Otherwise I would have given 6 stars, and for sure I would have given 5 starts if I had taken this when the course came out. I would rate this 3 stars, but I want to add one for the excellent instructor,. I hope there will be an overhaul of the course with the new API (use langgraph where appropriate).
Unfortunately, a big portion of the course is out of date. They are still using LangChain 0.2.x, while the latest is at 0.3.x.
Codes are outdated. But still offers a practical introduction to the world of LLMs and Langchain.
Good introduction course. Really good if you already know LLMs and want to scale up.
The course has given me applicable knowledge that I can use in practice.
very good
nice
good