Langchain- From Zero To Hero

Learn LangChain by building a real world generative ai application that uses LLM (Python)

What you'll learn

LangChain

Have an end to end working LangChain based generative AI application

Understand how LangChang was involved

Learn LLM theory such as Chain of Thought, ReAct, Few Shot prompting and then understand how LangChain is build under the hood

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, classes, testing

Description

Welcome to first LangChain Udemy course - Unleashing the Power of LLM!This comprehensive course is designed to teach you how to 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.In this course, you will embark on a journey from scratch to building a real-world LLM powered application using LangChain. The application you will build is designed to scrape the internet for information about a name you provide and generate a couple of personalized ice breakers to kick off a conversation with the person.The topics covered in this course include:LangChainHistoryLLMs: Few shots prompting, Chain of Thought, ReAct promptingChat ModelsPromptsPromptTemplatesOutput ParsersChainsAgentsToolsToolkitsThroughout 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.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.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 How to get the best out of Udemy

Lecture 3 What is LangChain?

Section 2: The GIST of LangChain- Get started by building E2E Generative AI Application

Lecture 4 Project Setup

Lecture 5 Your First LangChain application

Section 3: Ice Breaker Real World Generative AI application

Lecture 6 Integrating Linkedin Data Processing - Part 1

Lecture 7 Linkedin Data Processing - Part 2 - Agents Theory

Lecture 8 Linkedin Data Processing- Part 3: Tools, AgentType & initialize_agent

Section 4: Theory

Lecture 9 Chain of Thought Prompting

Lecture 10 ReAct

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