Skip to content
UdemySoftware DevelopmentPaid courseAll LevelsCertificate

Generative AI for NodeJs: OpenAI, LangChain - TypeScript (Udemy.com)

Hands-On Practice with OpenAI, ChatGPT and LangChain. Use Pinecone and Huggingface and integrate AI into your Node app

Created by: Alex Dan

Last updated August 2026

icon
What you will learn

  • Integrate OpenAI APIs in JavaScript and TypeScript applications. Use text, speech and Image modes
  • Use LangChain, Pinecone, and OpenAI to Build LLM-Powered Applications.
  • Translate and transcribe audio files using open source models in NodeJS apps
  • Learn the basics of AI with OpenAI and ChatGPT: build a console chat app with NodeJS
  • Integrate Tools and Functions into your OpenAI apps and chat with real-time data
  • Master crucial AI topics like Embeddings, similarity and Vector databases
  • Use ChromaDB as a local DB for your embeddings and run special queries
  • Use Pinecone as serverless DB and run special embeddings queries. Use indexes and run similarity searches
  • Learn about LangChain components, LLM wrappers, prompt templates, chains, and agents.

icon
Course Description

It's time to add AI to your JavaScript/TypeScript app!

AI for NodeJs devs with OpenAI and LangChain is an advanced course designed to empower developers with the knowledge and skills to integrate artificial intelligence (AI) capabilities into Node.js applications. This course is tailored for developers who are proficient in Node.js and wish to explore the fascinating realm of AI-driven solutions.

Throughout the course, participants will delve into various AI concepts, algorithms, and frameworks, focusing on their practical implementation within Node.js environments.

Key topics covered in this course include:

  • Introduction to AI and its applications in Node.js

  • OpenAI setup for basic apps

  • Understanding models, tokens and roles

  • OpenAI request parameters

Practice apps:

  • ChatGPT clone in the console

  • App features: history, context and token limit

  • OpenAI tools app

  • OpenAI tools parameters

  • Generative AI with tools

Key topics for AI development:

  • Embeddings - presentation, persistence, load

  • Similarity search using cosine or dot product

Vector databases:

  • Introduction and setup

  • ChromaDB setup

  • Building a ChromaDB server with Docker

  • Building a ChromaDB client with NodeJS

  • Pinecone Vector database setup

  • Pinecone indexes and index operations

  • Building apps backed by Pinecone

  • Generative AI with Pinecone

Dedicated section for LangChain, the most popular LLM apps wrapper:

  • LangChain introduction and setup

  • LangChain prompt templates

  • LangChain output parsers

  • Building RAG applications with LangChain

  • Web and file LangChain loaders

  • Generative AI with LangChain

What if you want to run the AI models yourself on your own machine? This is possible with open source models!

We will explore Hugging face and it's APIs and open source models for local LLM apps:

  • Local embeddings

  • Translation models

  • Text models

  • Voice models

  • Image models

Since all the used libraries are build with TypeScript and offer great TS support, the course also contains a TypeScript recap section:

  • TypeScript type aliases

  • The TypeScript compiler

  • Functions, special types, any and unknown

  • Enums and the never type

  • TypeScript generics

  • TypeScript classes

  • ...and many more features.

Course advantages:

  • Beyond the basics - after finish, you can directly use this knowledge into production code

  • Practical knowledge - presentations are kept to a minimum, we focus on what is really important

  • Logical and flexible structure - take the course at your own pace

  • Fast paced, concise, most typing cut out - focus on explanations - respect for your time

  • Big font, dark background, full HD content, this way it is readable even on a small screen or even tablet.

  • Lifetime access

  • Certificate of completion to present to your current or prospective employer

  • Q&A active instructor

Go beyond the theory and learn from an active instructor, aligned with today's programming demands!

Whether you're a seasoned NodeJs developer looking to expand your skill set or a newcomer interested in harnessing the power of AI, AI for NodeJS offers an exciting journey into the intersection of artificial intelligence and modern web development. Enroll and unlock the potential to create intelligent, cutting-edge applications with NodeJs!

icon
Udemy Discount

The discount is applied through our link. Open the course from here and Udemy's current promotional price is applied at checkout on most courses, no code to type.

Some courses are excluded from Udemy's promotions. If the price does not drop, clear your browser cookies and use the button again.

icon
Instructor Details

Alex Dan

Alex Dan — Cloud Architect, Developer & Instructor

With over a decade of hands-on software engineering experience, I've built my career at the intersection of cloud infrastructure, web development, and practical education.

My technical journey started in embedded automotive systems — developing Java-based navigation solutions for major car brands. From there, I moved into cloud engineering, building AWS-powered data pipelines for connected vehicles using Node.js, TypeScript, Lambda, DynamoDB, and a full suite of AWS services. I later worked as a Node.js developer at one of Eastern Europe's largest e-commerce platforms, before transitioning into independent cloud architecture consulting.

Today, as a freelance Cloud Architect, I design and implement scalable cloud solutions across industries — from automotive to enterprise — with a focus on infrastructure reliability, CI/CD automation, and modern serverless architectures.

Parallel to my engineering career, I've been teaching on Udemy since 2017, growing a community of over 300,000 students across 19 courses. My current focus is AI-assisted development — helping developers work smarter with tools like GitHub Copilot, VS Code AI extensions, and agentic coding workflows.

icon
More courses by Alex Dan

$19.99

$89.99

$84.99

$79.99

$19.99

$64.99

icon
More Software Development courses

$109.99

$19.99

$19.99

$84.99

$69.99

$19.99

icon
Reviews

4.5

844 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Harikrishnan V on 2/1/2026

This course has helped me a lot in understanding core concepts of integrating AI to web applications. Greatly detailed tutorial which has all the basic for us to further build complex solutions based on AI. Thanks a lot for making this awesome tutorial

By Facundo Brusa on 12/8/2025

The professor explained the different concepts in a way that seemed very easy to understand and provided examples for each section. I would say this is a basic AI course.

By Szymon Morawski on 9/8/2025

A nice, short catch-up course, that shows how and where you should start your adventure with AI. Couple of sections were outdated, but I fully understand that it is hard to keep it fresh, as the field is constantly growing and changing.

By Onur Değerli on 8/1/2025

The course content is good for beginners who want to gain experience in AI. Just apply every piece of the code, and you will get an understanding of the next step in your roadmap. For the outdated content, your answer is the Q/A section, ChatGPT, and Google.

By Artem Gilmanov on 7/18/2025

The course effectively covers the core functionalities of RAG (Retrieval-Augmented Generation) search within the LangGraph library while providing a solid overview of modern LLM API calls. The inclusion of a dedicated section on TypeScript was particularly helpful. As an introductory course, it accelerated my learning curve and gave me a strong foundation in the topic. To further reinforce the material, a small hands-on project applying the concepts would be a valuable addition.

By Mauro on 7/12/2025

!Excellent course! I was looking for a typescript course with langchain and I couldn't find it, until I came across this one and it didn't disappoint me, in fact, it surprised me and gave me the tools I was looking for, and being a Latin developer, it wasn't difficult for me to keep up with it and understand it, its modularity when speaking made it "easy" to follow the course, I recommend it

By Narayan maity on 7/4/2025

This is a very good introductory course for Generative AI. The reason I am not giving a 5-star rating is that in this course, some of the videos need to be updated. Although I added a question and answer where I feel that this lecture is too outdated, so other new learners don't face the same problem. One suggestion, Alex, please update the course.

By H d M on 10/12/2024

at first i didn't like that 2 hours of the course were dedicated to typescript, this topic seemed to me disconnected with the course content/purpose. but when i went through the course i really liked the examples and explanations the author gave. he demonstrated great knowledge on the topic and tried to explain as simple as possible the topics introduced in each lesson. after this course you will see the power of OpenAI API and the endless possibilities that you can create with it.

By Sumit Govil on 6/19/2024

The absolute go to course if you are overwhelmed with the AI buzzwords and want to understand what is chromaDB, pinecone, hugging face, langchain, embeddings, vector databases etc. However, this isn't a deep dive course by any means.

By Crock Saunders on 3/18/2024

This has been an good training. I've taken other courses on Langchain, but this one offers real context and thorough explanations. This is the only decent choice if you want to explore AI outside the world of Python and into JavaScript/Typescritp and Node. One difficulty is in the later sections with the more advanced app, but I guess that is how it is. Well structured and knowledgeable instructor. Thanks!

Showing all 10 reviews on CourseDuck

Read all 844 reviews on Udemy

icon
Quality Score

No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.

Content Quality
/
Video Quality
/
Qualified Instructor
/
Course Pace
/
Course Depth & Coverage
/

Overall Score : 90 / 100