(Udemy) LangChain- Develop LLM powered applications with LangChain (Eden Marco)
About Course
Learn how to develop powerful LLM applications using LangChain with this comprehensive Udemy course. This course is designed for intermediate to advanced developers with a strong understanding of Python. You will gain practical skills and knowledge in LangChain, including:
- LLMs: Few shots prompting, Chain of Thought, ReAct prompting
- Chat Models
- Prompts, PromptTemplates
- Output Parsers
- Chains: SequentialChain, LLMChain, RetrievalQA chain
- Agents, Custom Agents, Python Agents, CSV Agents, Agent Routers
- OpenAI Functions
- Tools, Toolkits
- Memory
- Vectorstores (Pinecone, FAISS)
- DocumentLoaders, TextSplitters
- Streamlit (for UI)
This course will walk you through building three real-world projects, including an Ice Breaker agent, a Documentation Helper, and a slim version of ChatGPT Code-Interpreter. Throughout the course, you’ll have access to hands-on exercises, real-world projects, and a dedicated community for support and collaboration. This course is completely free and comes with lifetime access to the content, ongoing updates, and a dedicated Discord community.
This course is offered for free on Theetay. It is a curated collection of top-rated courses from platforms such as Udemy, Udacity, Coursera, MasterClass, NearPeer, and more.
Course Content
Introduction
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A Message from the Professor
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Introduction
03:12 -
Course Structure + How to get the best of Udemy
02:20 -
What is LangChain
02:14 -
Course’s Discord Server
01:51
The GIST of LangChain- Get started by with your Hello World chain
Ice Breaker Real World Generative AI application
The GIST of Embeddings, Vector Databases and, VectorDBQA chain & RetrievalQA
Building a documentation assistant (Embeddings, VectorDBs, RetrievalQA, Memory)
Building a slim ChatGPT Code-Interpreter (Advanced Agents, OpenAI Functions)
LangChain Theory
Prompt Engineering Theory
Troubleshooting Section
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