LangChain: Develop AI web-apps with JavaScript and LangChain

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Shawn Esquivel

4:25:07

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1. Environment Setup

1.1 Notion Course Texbook.html

1. 1.1 Developer Environment Setup.mp4

03:24

2. 1.2 Cloning the Repository.mp4

04:04

3. 1.3 Extensions to Make Life Easier.mp4

05:49

4. 1.4 Extensions to Make Life Easier (Cont.).mp4

01:02

5. 1.5 Troubleshooting Guide.mp4

04:32

6. 1.6 API Keys Needed.mp4

00:33

7. 1.7 Add API Keys to Environment (Cont.).mp4

01:31

8. 1.7 Set API Usage Limits (Optional).mp4

01:04

9. 1.8 Quick Start Guide.mp4

30:03

2. Memory (Project)

1. 2.0 Memory Demo.mp4

00:46

2. 2.1 Theory Intro.mp4

00:30

3. 2.2 Styling the Frontend with React (Optional).mp4

06:45

4. 2.3 Connecting the FrontendBackend in NextJS.mp4

05:10

5. 2.4 Setting up the Backend.mp4

10:38

6. 2.6 Memory Summary.mp4

06:46

7. 2.5 Handling the Response in the Frontend.mp4

03:03

8. 2.7 Conclusion.mp4

02:02

3. Streaming (Project)

1. 3.0 Streaming Demo.mp4

00:32

2. 3.1 Set up the Frontend.mp4

09:42

3. 3.2 Stream Responses from Backend.mp4

05:36

4. 3.3 Streaming Conclusion.mp4

00:16

4. PDF Chatbot (Project)

1. 4.0 PDF Chatbot Demo.mp4

01:02

2. 4.1 Set Up Pinecone.mp4

02:31

3. 4.2 Quick Review of Frontend.mp4

01:15

4. 4.3 Using PDFLoader (pdf-upload.js).mp4

04:00

5. 4.4 Character Text Splitter (pdf-upload.js).mp4

06:24

6. 4.5 How do Embeddings Work (pdf-upload.js).mp4

05:29

7. 4.6 Initialize Pinecone (pdf-query.js).mp4

00:55

8. 4.7 Vector Database Question Answer Chain (pdf-query.js).mp4

05:47

9. 4.8 Conclusion.mp4

02:19

5. YouTube Chatbot (Project)

1. 5.0 YouTube Chatbot Demo.mp4

03:07

2. 5.1 Frontend Setup.mp4

02:08

3. 5.2 YouTube Transcript API.mp4

07:09

4. 5.3 Initialize ChatOpenAI.mp4

01:47

5. 5.4 Configure HNSWLib and ConversationalRetrievalQAChain.mp4

07:01

6. 5.5 Handling Follow Up Questions to the Chain.mp4

04:04

7. 5.6 Conclusion.mp4

04:36

6. AI Content Generator (Project)

1. 6.0 AI Content Generator Demo.mp4

00:32

2. 6.1 Overview of Project.mp4

04:02

3. 6.2 Transcript API.mp4

08:51

4. 6.3 Video Metadata.mp4

10:11

5. 6.4.1 SerpAPI Tool.mp4

05:25

6. 6.4.2 Web Browser Tool and Prompt Template.mp4

04:01

7. 6.4.3 Zero Shot Agent.mp4

03:53

8. 6.4.4 Connecting it to the Handler.mp4

05:29

9. 6.5.1 Summary.mp4

02:07

10. 6.5.2 LLM Chain Prompt Template.mp4

06:30

11. 6.6.1 Follow Up Questions.mp4

02:32

12. 6.6.2 Conclusion.mp4

02:37

7. RoboHR (Project)

1. 7.0 RoboHR Demo.mp4

01:45

2. 7.1 High Level Overview.mp4

01:36

3. 7.2 File Overview.mp4

02:58

4. 7.3 Convert Resumes to Embeddings.mp4

03:37

5. 7.4 Resume Upload Section.mp4

03:37

6. 7.7 Load Summary Chain.mp4

10:03

7. 7.8 Upload to Pinecone.mp4

09:29

8. 7.9 Vector Database Question Answer Chain.mp4

10:59

9. 7.10 Conclusion.mp4

01:31

Description

Create LLM applications with LangChain, OpenAI API, NextJS, and TailwindCSS

What You'll 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 is this for?

Beginner to intermediate developers who are curious about OpenAI and Langchain

React developers who are interested in creating LangChain projects in NextJS

What You Need to Know?

Some experience in JavaScript (or a similar programming language) is helpful

No experience in AI, NextJS, TailwindCSS necessary

A desire to build your own AI applications!

Some experience in React is helpful

More details

Description
Welcome to the LangChain AIÂ 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 AIÂ powered applications.

In this course, we place an equal emphasis on theory and practice. Weâ€™ll start easy, and increase the complexity with each project.Â 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, weâ€™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 AIÂ 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 AIÂ 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 AIÂ to chat with books, videos, etc.
Supercharge Your Work - create autonomousÂ AI agents that can "think" through complex tasks
Launch Your Product - display yourÂ AI projects for potential employers/customers to see
Troubleshoot Anything - how to use AI tools beyondÂ ChatGPTÂ to become the "10x developer"

Course Pre-Requisites:
Some experience in JavaScript (or a similar programming language)Â is helpful
Some experience in React is helpful
No experience in AI, NextJS, TailwindCSS necessary
A desire to build your own AIÂ 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,Â 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
Who this course is for:
Beginner to intermediate developers who are curious about OpenAI and Langchain
React developers who are interested in creating LangChain projects in NextJS

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I am a Full Stack Developer at Ekona Power. I've developed full stack applications using NextJS, React, Django, and the MERN stack. I have a diploma in Web Development from BrainStation and a degree in Chemical Engineering from the University of British Columbia. I have experience as a Teaching Assistant and personal tutor at the University of British Columbia.

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