Explanation
LangChain – Create LLM applications powered by LangChain, This comprehensive course is designed to teach you how to quickly leverage the power of the LangChain library for LLM applications. The course will equip you with the skills and knowledge necessary to develop LLM-cutting edge solutions on a variety of topics. Please note that this is not a course for beginners. This course assumes you have a background in software engineering and familiarity with Python. We will use Pycharm IDE but you can use any editor you want as we only use the basic features of the IDE like debugging and running scripts.
In this course, you will travel from scratch to build an application that runs on real LLMs using LangChain. We are doing so by building 3 main applications. During the course, you will work on hands-on exercises and real-world projects to strengthen your understanding of the concepts and techniques covered. By the end of the course, you will be proficient in using LangChain to create powerful, efficient, and scalable LLM applications for a variety of applications.
What will you learn?
- Welcome back to LangChain
- Complete work based on LangChain for AI application
- Quick Engineering Insights: Chain of Thought, ReAct, A Few Triggers and Understanding How LangChain is Built Under the Hood
- Understand how to navigate LangChain’s open-source codebase
- View Models A great language for software engineers
- LangChain: Multiple Chains, Agents, Document Loader, TextSplitter, OutputParser, Memory
- Vectorstores/Vector Databases (Pinecone, FAISS)
Who is this course for?
- Software engineers who want to learn how to build applications based on Generative AI in LangChain
- Backend developers who want to learn how to build applications based on Generative AI in LangChain
- Fullstack engineers who want to learn how to build applications based on Generative AI in LangChain
Specificatoin of LangChain- Create LLM applications running on LangChain
- Publisher: Udemy
- Teacher: Eden Marco
- Language: English
- Level: Medium
- Number of courses: 57
- Duration: 7 hours and 20 minutes
Course content
Requirements
- This is not a beginner’s course. Basic concepts of software engineering are required
- I think students will be familiar with software engineering subjects such as: git, python, pipenv, environment variables, classes, trial and error.
- No Machine Learning experience required.
Pictures
Sample Clip
Installation Guide
Extract files and watch your favorite player
Subtitle: English
Quality: 720p
Changes:
Version 2024/2 compared to 2023/7 increased the number of 14 lessons and the duration of 1 hour and 30 minutes.
Download Links
Password file: www.downloadly.ir
file size
3.27 GB