LangChain- Develop LLM powered applications with LangChain Course. Learn LangChain by building FAST a real world generative ai LLM powered application LLM (Python)
LangChain Course Overview
Udemy Course: LangChain- Develop LLM powered applications with LangChain
COURSE WAS RE-RECORDED ON MID APRIL 2024- LangChain Version 0.1.16
Welcome to first LangChain Udemy course – Unleashing the Power of LLM! This comprehensive course is designed to teach you how to QUICKLY harness the power the LangChain library for LLM applications. This course will equip you with the skills and knowledge necessary to develop cutting-edge LLM solutions for a diverse range of topics.
Please note that this is not a course for beginners. This course assumes that you have a background in software engineering and are proficient in Python. I will be using Pycharm IDE but you can use any editor you’d like since we only use basic feature of the IDE like debugging and running scripts .
In this course, you will embark on a journey from scratch to building a real-world LLM powered application using LangChain.
DISCLAIMERS
- Please note that this is not a course for beginners. This course assumes that you have a background in software engineering and are proficient in Python.
I will be using Pycharm IDE but you can use any editor you’d like since we only use basic feature of the IDE like debugging and running scripts. - The first project of the course (Ice-Breaker) requires usage of 3rd party APIs-
ProxyURL, SerpAPI, Twitter API which are generally paid services.
All of those 3rd parties have a free tier we will use to create stub responses development and testing.
What you’ll learn
- Become proficient in LangChain
- Have 3 end to end working LangChain based generative AI applications
- Prompt Engineering Theory: Chain of Thought, ReAct, Few Shot prompting and understand how LangChain is build under the hood
- Understand how to navigate inside the LangChain opensource codebase
- Large Language Models theory for software engineers
- LangChain: Lots of chains Chains, Agents,, DocumentLoader, TextSplitter, OutputParser, Memory
- Vectorestores/ Vector Databasrs (Pinecone, FAISS)
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Course Information
- Instructor: Eden Marco
- Duration: 8 hours
- Language: English [Auto], German [Auto], Indonesian [Auto], Italian [Auto], Japanese [Auto], Korean [Auto], Portuguese [Auto], Simplified Chinese [Auto], Spanish [Auto]
- Source: Udemy
Course Reviews
Instructor
Eden Marco
I am a passionate Software Engineer with years of experience in back-end development, one of the first engineers at Orca Security, and now I am working as a Customer Engineer at Google Cloud.
BSC in Computer Science from the Technion – Israel Institute of Technology
I have always been a fan of teaching and mentorship and I am teaching CS courses(Functional Programming and Introduction to CS) at Reichman University, Israel.