LangChain: Develop AI web-apps with JavaScript and LangChain

LangChain: Develop AI web-apps with JavaScript and LangChain, available at $89.99, has an average rating of 4.28, with 90 lectures, based on 277 reviews, and has 3011 subscribers.

You will learn about Chat With Anything – use AI to chat with books, videos, etc. Supercharge Your Work – create autonomous AI agents that can "think" through complex tasks Launch Your Product – display your AI projects for potential employers/customers to see Troubleshoot Anything – how to use AI tools beyond ChatGPT to become the "10x developer" This course is ideal for individuals who are Beginner to intermediate developers who are curious about OpenAI and Langchain or React developers who are interested in creating LangChain projects in NextJS It is particularly useful for Beginner to intermediate developers who are curious about OpenAI and Langchain or React developers who are interested in creating LangChain projects in NextJS.

Enroll now: LangChain: Develop AI web-apps with JavaScript and LangChain

Summary

Title: LangChain: Develop AI web-apps with JavaScript and LangChain

Price: $89.99

Average Rating: 4.28

Number of Lectures: 90

Number of Published Lectures: 86

Number of Curriculum Items: 90

Number of Published Curriculum Objects: 86

Original Price: $99.99

Quality Status: approved

Status: Live

What You Will Learn

Chat With Anything – use AI to chat with books, videos, etc.
Supercharge Your Work – create autonomous AI agents that can "think" through complex tasks
Launch Your Product – display your AI projects for potential employers/customers to see
Troubleshoot Anything – how to use AI tools beyond ChatGPT to become the "10x developer"

Who Should Attend

Beginner to intermediate developers who are curious about OpenAI and Langchain
React developers who are interested in creating LangChain projects in NextJS

Target Audiences

Beginner to intermediate developers who are curious about OpenAI and Langchain
React developers who are interested in creating LangChain projects in NextJS

Welcome to the LangChain AI JavaScript course!

As we stand here in 2023, AI is transforming our world at the speed of light. It’s not just a buzzword – it’s a reality shaping industries, from finance to healthcare, logistics, and entertainment. And you, as a developer, are in a prime position to ride the wave.

Dive into the innovative world of building Large Language Models (LLM) with LangChain, a groundbreaking tool for rapidly building AI powered applications.

In this course, we place an equal emphasis on theory and practice. We’ll start easy, and increase the complexity with each project. Additionally, you’ll have starter templates for each project, so that you spend most of your time learning about AI, and less time worrying about setting up your code environment.

In 2023 alone, we’ve seen a rise in AI products making hundreds to thousands of dollars a month built by solo developers. At the end of the course, you will have built SIX stunning full-stack AI applications that will give you the skills to build your own AI products from scratch.

The world is moving fast, and AI is leading the charge. Don’t be left behind, wishing you had started learning AI sooner. So secure your spot in the course, and take the first step towards your AI journey today.

In this course, we use cutting edge technologies to create a seamless developer experience:

LangChain, an AI framework for rapidly building LLM applications with OpenAI, HuggingFace, and more.
NextJS – Allows you to build the frontend and backend in one language, JavaScript.
Vercel–You’ll know how to deploy your LLM application to users, without pulling your hair out.
TailwindCSS – Each project comes with a pre-styled template, so you don’t need to worry about styling.

By the end of the course you will the skills to:

Chat With Anything – use AI to chat with books, videos, etc.
Supercharge Your Work – create autonomous AI agents that can “think” through complex tasks
Launch Your Product – display your AI projects for potential employers/customers to see
Troubleshoot Anything – how to use AI tools beyond ChatGPT to become the “10x developer”

Course Pre-Requisites:

Some experience in JavaScript (or a similar programming language) is helpful
Some experience in React is helpful
No experience in AI, NextJS, TailwindCSS necessary
A desire to build your own AI applications!

This is not just a course, it’s a community. Along with lifetime access to the course, you’ll get:

Dedicated 1 on 1 troubleshooting support with me
Notion Course Textbook with additional AI resources, FAQ, troubleshooting guides
Access to an exclusive Discord community to connect with other learners
No extra cost for continuous updates and improvements to the course

Course Curriculum

Chapter 1: Environment Setup & Quick Start to LangChain/NextJS

Lecture 1: 1.1 • Developer Environment Setup

Lecture 2: Note: Node Version

Lecture 3: 1.2 Cloning the Repository

Lecture 4: (Optional) Downloading the Course Materials Manually

Lecture 5: 1.3 • Extensions to Make Life Easier

Lecture 6: 1.4 • Extensions to Make Life Easier (Cont.)

Lecture 7: 1.5 • Troubleshooting Guide

Lecture 8: 1.6 • API Keys Needed

Lecture 9: 1.7 • Add API Keys to Environment (Cont.)

Lecture 10: 1.7 • Set API Usage Limits (Optional)

Lecture 11: IMPORTANT: 1.8 Setting API Keys In Terminal

Lecture 12: (OPTIONAL FOR WINDOWS USERS) Setting API keys in the Terminal

Lecture 13: 1.8 Course Resources

Lecture 14: 1.9 LangChain Quick Start Guide

Lecture 15: NPM Issues (npm install, npm run dev)? – TRY THIS!

Lecture 16: (Optional) NextJS/React/Tailwind Crash Course Part 1

Lecture 17: (Optional) NextJS/React/Tailwind Crash Course Part 2

Lecture 18: (Optional) NextJS/React/Tailwind Crash Course Part 3

Lecture 19: (Optional) NextJS/React/Tailwind Crash Course Part 4

Chapter 2: Memory (Project) + NextJS Intro

Lecture 1: 2.0 • Memory Demo

Lecture 2: 2.1 • Theory Intro

Lecture 3: 2.2 • Styling the Frontend with React (Optional)

Lecture 4: 2.3 • Connecting the Frontend/Backend in NextJS

Lecture 5: 2.4 • Setting up the Backend

Lecture 6: 2.5 • Handling the Response in the Frontend

Lecture 7: 2.6 • Memory Summary

Lecture 8: 2.7 • Conclusion

Chapter 3: Streaming (Project)

Lecture 1: 3.0 • Streaming Demo

Lecture 2: 3.1 • Set up the Frontend

Lecture 3: 3.2 • Stream Responses from Backend

Lecture 4: 3.3 • Streaming Conclusion

Chapter 4: PDF Chatbot (Project)

Lecture 1: DISCLAIMER

Lecture 2: 4.0 • PDF Chatbot Demo

Lecture 3: 4.1 • Set Up Pinecone

Lecture 4: 4.2 • Quick Review of Frontend

Lecture 5: 4.3 • Using PDFLoader (pdf-upload.js)

Lecture 6: 4.4 • Character Text Splitter (pdf-upload.js)

Lecture 7: 4.5 • How do Embeddings Work? (pdf-upload.js)

Lecture 8: 4.6 • Initialize Pinecone (pdf-query.js)

Lecture 9: 4.7 • Vector Database Question Answer Chain (pdf-query.js)

Lecture 10: 4.8 • Conclusion

Lecture 11: Review

Lecture 12: Lecture 40A (Optional): Namespaces in Pinecone Part 1

Lecture 13: Lecture 40B (Optional): Namespaces in Pinecone Part 2

Lecture 14: Lecture 40C (Optional): Namespaces in Pinecone Part 3: Upload

Lecture 15: Lecture 40D (Optional): Namespaces in Pinecone Part 4: Query

Lecture 16: Lecture 40E (Optional): Namespaces in Pinecone Part 5: Demo

Chapter 5: YouTube Chatbot (Project)

Lecture 1: 5.0 • YouTube Chatbot Demo

Lecture 2: 5.1 • Frontend Setup

Lecture 3: 5.2 • YouTube Transcript API

Lecture 4: 5.3 • Initialize ChatOpenAI

Lecture 5: 5.4 • Configure HNSWLib and ConversationalRetrievalQAChain

Lecture 6: 5.5 • Handling Follow Up Questions to the Chain

Lecture 7: 5.6 • Conclusion

Chapter 6: AI Content Generator (Project)

Lecture 1: 6.0 • AI Content Generator Demo

Lecture 2: 6.1 • Overview of Project

Lecture 3: 6.2 • Transcript API

Lecture 4: 6.3 • Video Metadata

Lecture 5: 6.4.1 • SerpAPI Tool

Lecture 6: 6.4.2 • Web Browser Tool and Prompt Template

Lecture 7: 6.4.3 • Zero Shot Agent

Lecture 8: 6.4.4 • Connecting it to the Handler

Lecture 9: 6.5.1 Summary

Lecture 10: 6.5.2 LLM Chain Prompt Template

Lecture 11: 6.6.1 Follow Up Questions

Lecture 12: 6.6.2 Conclusion

Chapter 7: RoboHR (Project)

Lecture 1: 7.0 • RoboHR Demo

Lecture 2: 7.1 • High Level Overview

Lecture 3: 7.2 • File Overview

Lecture 4: 7.3 • Convert Resumes to Embeddings

Lecture 5: 7.4 • Resume Upload Section

Lecture 6: 7.7 • Load Summary Chain

Lecture 7: 7.8 • Upload to Pinecone (recommended)

Lecture 8: 7.8.1 Supabase Part 1: Uploading (alternative, if waitlisted on Pinecone)

Lecture 9: 7.8.2 Supabase Part 2: Querying (alternative, if waitlisted on Pinecone)

Lecture 10: 7.8.3 If you're enjoying, please consider leaving a review!

Lecture 11: 7.9 • Vector Database Question Answer Chain

Lecture 12: 7.10 • Conclusion

Chapter 8: Deployment (Optional)

Lecture 1: 8.0 Upload to GitHub and Vercel

Lecture 2: 8.1 Fixing Deployment Issues

Lecture 3: 8.2 Summary

Chapter 9: PDF Chatbot V2

Lecture 1: Changes to ChatPDF

Lecture 2: ⚠️ Upgrade To LangChain 0.2!

Lecture 3: 4.0 ChatPDF Demo

Lecture 4: 4.1 Setup Pinecone Index (.env)

Lecture 5: 4.2 Review Frontend (app/pdf/page.jsx)

Instructors

Shawn Esquivel
Software Developer at Ekona Power

Rating Distribution

1 stars: 12 votes
2 stars: 12 votes
3 stars: 24 votes
4 stars: 71 votes
5 stars: 158 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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