Generative AI for NodeJs: OpenAI, LangChain – TypeScript

It’s time to add AI to your JavaScript/TypeScriptapp!

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

• OpenAIsetup for basic apps

• Understanding models, tokens and roles

• OpenAIrequest parameters

Practice apps:

• ChatGPTclone in the console

• App features: history, context and token limit

• OpenAItools app

• OpenAItools 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

• ChromaDBsetup

• Building a ChromaDBserver with Docker

• Building a ChromaDBclient with NodeJS

• PineconeVector database setup

• Pineconeindexes and index operations

• Building apps backed by Pinecone

• Generative AI with Pinecone

Dedicated section for LangChain, the most popular LLMapps wrapper:

• LangChainintroduction and setup

• LangChainprompt templates

• LangChainoutput parsers

• Building RAGapplications with LangChain

• Web and file LangChainloaders

• 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 LLMapps:

• Local embeddings

• Translationmodels

• Textmodels

• Voicemodels

• Imagemodels

Since all the used libraries are build with TypeScriptand offer great TS support, the course also contains a TypeScriptrecap section:

• TypeScripttype aliases

• The TypeScriptcompiler

• Functions, special types, any and unknown

• Enumsand the never type

• TypeScriptgenerics

• TypeScriptclasses

• …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 NodeJsdeveloper looking to expand your skill set or a newcomer interested in harnessing the power of AI, AI for NodeJSoffers 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!

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• 4 stars: 34 votes
• 5 stars: 93 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!