Descriptions

LangChain- Agentic AI Engineering with LangChain & LangGraph, 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. We are going to do so by build 3 main applications. Throughout the course, you will work on hands-on exercises and real-world projects to reinforce 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 versatile LLM applications for a wide array of usages.

What you’ll learn

• Become proficient in LangChain
• Have an end to end working LangChain based generative AI application
• 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)

Who this course is for

• Software Engineers that want to learn how to build Generative AI based applications with LangChain
• Backend Developers that want to learn how to build Generative AI based applications with LangChain
• Fullstack engineers that want to learn how to build Generative AI based applications with LangChain

Specificatoin of LangChain- Agentic AI Engineering with LangChain & LangGraph

• Publisher : Udemy
• Teacher : Eden Marco
• Language: English
• Level : All Levels
• Lectures : 189
• Duration : 19 hours and 51 minutes

Course Content

Requirements

• This is not a beginner course. Basic software engineering concepts are needed
• I assume students will be familiar software engineering subjects such as: git, python, pipenv, environment variables, classes, testing and debugging
• No Machine Learning experience is needed.

Pictures

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle: English

Quality: 1080p

Previous title:

LangChain – Develop LLM powered applications with LangChain

LangChain – Develop AI Agents with LangChain & LangGraph

Changes:

The 2025/10 version has increased the number of lessons by 26 and the duration increased by 3 hours 9 minutes compared to 2025/8.

The 2025/11 version has decreased the number of lessons by 9 and the duration decreased by 1 hours 29 minutes compared to 2025/10.

The 2026/2 version has increased the number of lessons by 8 and the duration increased by 2 hours compared to 2025/11.

Version 2026/6 compared to 2026/2 has increased by 13 lessons and decreased by 1 minute in duration.

The 2026/8 version has increased by 10 lessons and a duration of 43 minutes compared to 2026/6.

Download Links

Download Part 1 – 3 GB

Download Part 2 – 3 GB

Download Part 3 – 3 GB

Download Part 4 – 3 GB

Download Part 5 – 3 GB

Download Part 6 – 2.74 GB

Password file(s): www.downloadly.ir

File size

17.7 GB