Langchain Masterclass-Develop 7 Openai Llm Apps Using Python

Experience Hands-On learning-Acquire LangChain Skills, Deploy AI Applications with LLM Models such as ChatGPT-LangChain

What you'll learn

Helps you to create LLM powered applications usimg Langchain that will help you save time and increase efficiency

By the end of the course , you will be capable of working on langchain LLM real time projects

Explore useful concepts that can be used in your Langchain projects

You will gain a solid understanding of LangChain components like LLM wrappers, prompt templates, and Memory.

Additionally, we will delve into the concept of embeddings and vector data stores, learning how to utilize them effectively to enhance the performance of LangCh

Project 1: Construct a question-answering application powered by LLM using LangChain, OpenAI, and Hugging Face Spaces.

Project 2: Develop a conversational bot using LangChain,LLM and OpenAI.

Project 3: Build an AI-powered app for kids that helps them find similar classes of things.

Project 4: Create a marketing campaign app focused on increasing sales through well-crafted sales copy.

Project 5: Develop a ChatGPT clone with a summarization option, offering a useful chatbot experience.

Requirements

A little programming / coding knowledge is required

Description

Are you interested in harnessing the power of AI to create groundbreaking language-based applications? Look no further than LangChain - a comprehensive course that will take you from a novice to an expert in no time. By implementing AI applications powered with state-of-the-art LLM models like OpenAI and Hugging Face using Python, you will embark on an exciting project-based learning journey.With LangChain, you will gain the skills and knowledge necessary to develop innovative LLM solutions for a wide range of problems.Here are the projects we will work on:Project 1: Construct a question-answering application powered by LLM using LangChain, OpenAI, and Hugging Face Spaces.Project 2: Develop a conversational bot using LangChain and OpenAI.Project 3: Build an AI-powered app for kids that helps them find similar classes of things.Project 4: Create a marketing campaign app focused on increasing sales through well-crafted sales copy.Project 5: Develop a ChatGPT clone with a summarization option, offering a useful chatbot experience.This course is designed to provide you with a complete understanding of LangChain, starting from the basics and progressing towards creating practical LLM-powered applications.LangChain empowers programmers to fully utilize large language models, such as ChatGPT, and seamlessly integrate them with external data sources. This integration enhances the models' ability to comprehend and respond to human language.Built with Python, LangChain offers a user-friendly interface tailored specifically for beginners, making it accessible to aspiring developers.Course Overview:Aspiring to build sophisticated language-based applications?LangChain is the perfect library for you.Move beyond basic techniques like keyword matching or rule-based systems.Leverage the power of LLMs and combine them with cognitive or information sources.Unlock tremendous potential and explore new possibilities with LangChain.Course Contents:LangChainLLMsChat ModelsPromptsIndexesChainsAgentsMemoryBut this isn't just a theory-based course; it's a hands-on experience. You will engage in practical activities and real-world projects, reinforcing your understanding of these concepts and techniques. By the end of the course, you will be equipped with the skills to apply Langchain effectively, building robust, powerful, and scalable LLM applications for various purposes.Don't miss this opportunity to become a language model expert.Enroll in the LangChain course and embark on a transformative journey that will elevate your AI app development skills. LangChain, OpenAI, ChatGPT, LLM, Python - these are the tools that will empower you to create cutting-edge AI applications that push the boundaries of what's possible. Get ready to unlock your full potential and become a hero in the world of language-based AI development.You will do practical activities and real-world projects throughout the course to strengthen your understanding of the concepts and techniques. You will be competent in applying Langchain to build strong, effective, and scalable LLM applications for a variety of uses by the end of the course.OpenAIChatGPT

Overview

Section 1: LangChain Introduction

Lecture 1 What is LangChain?

Lecture 2 Let's understand the LangChain benefits

Section 2: OpenAI Introduction

Lecture 3 What is OpenAI?

Lecture 4 OpenAI API Key Generation

Section 3: Demo & Environment Setup

Lecture 5 A LangChain Example - Implementation Demo

Lecture 6 Anaconda Installation

Section 4: Models Module Concept

Lecture 7 LangChain's Modules Overview

Section 5: Project #1 - Simple Question & Answer App

Lecture 8 LLMs Walkthrough

Lecture 9 LLM Practical Implementation using Python

Lecture 10 Project Environment Setup

Lecture 11 Lets' Build Simple Question Answering Application

Section 6: Project #2 - Simple Conversational App

Lecture 12 Chat Model Walkthrough

Lecture 13 Chat Model Practical Implementation using Python

Lecture 14 Let's Build Simple Conversational Application

Section 7: Project #3 - Find Similar Things App For Kids

Lecture 15 Text Embedding Walkthrough

Lecture 16 Text Embeddings Practical Implementation using Python

Lecture 17 Embeddings Example using Python

Lecture 18 Let's build Similar Words Finder Application

Section 8: Prompt Module Concept & Implementation Using Python

Lecture 19 Prompts Module Introduction

Lecture 20 Prompt Template Walkthrough

Lecture 21 Example Selectors Walkthrough

Lecture 22 Adding More Examples To Input Prompt

Lecture 23 Output Parsers Walkthrough

Section 9: Project #4 - Marketing Campaign App

Lecture 24 Convert Jupyter Notebook to Python Script

Lecture 25 Building the App's frontend

Lecture 26 Integration of Frontend & Backend

Lecture 27 Modularization of Code

Lecture 28 Adding Examples - Kids, Adult & Senior Citizen

Lecture 29 Project Source Code

Section 10: Memory Module Concept

Lecture 30 Importance of Memory in LLM powered Apps

Lecture 31 Different Types of Memory

Section 11: Project #5 - ChatGPT Clone with Summarization Option

Lecture 32 ChatGPT Clone Demo

Lecture 33 Setting up the Project

Lecture 34 Implementing the Frontend

Lecture 35 Modularizing the Code

Lecture 36 Passing Dynamic Data

Lecture 37 Implementing Chatbot Conversational View

Lecture 38 Conversation Summarization & API key feature

Lecture 39 Source Code

Anyone who is excited to buil;d AI powered LLM apps using Langchain,Someone who is planning to start his a career as an LangChiain Professional and would like to explore the tool.