Tutorials > AI For JavaScript Developers (OpenAI, Embeddings, Vercel AI)

AI For JavaScript Developers (OpenAI, Embeddings, Vercel AI)


Date: 9 May 2025 | Posted by: AD-TEAM

AI For JavaScript Developers (OpenAI, Embeddings, Vercel AI)
AI For jаvascript Developers (OpenAI, Embeddings, Vercel AI)
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 22m | 1.2 GB
Instructor: Ariel Weinberger


Learn how to build AI agents and chat bots using TypeScript, OpenAI, Vector Store, Functions, LlamaIndex and more.

What you'll learn

  • Building AI-powered apps and chatbots using OpenAI, Node and jаvascript/TypeScript.
  • Building scalable AI apps that have a massive knowledge base, using Embeddings, Vector Stores and more.
  • Fundamental AI concepts such as Tools, Agents, RAG, Vector Stores, Embeddings, Function Calling, Tokens and more
  • Build AI-powered software that is able to fetch information from real-time data sources.
  • Build a real chat application with a user interface that is capable of answering questions based on any PDF document


Requirements

Prior jаvascript/TypeScript coding experience is needed.

Description

With Artificial Intelligence becoming more and more accessible, we developers have access to superpowers, just one API call away. AI allows you to analyze sentiment, recommend products, personalize communications, craft chat bots and much much more.

In this course, you'll learn how to take your experience as a jаvascript/TypeScript developer, and build real-world AI-powered applications. The goal is to turn you, a seasoned developer, into an AI engineer.

Here's what you'll learn:
  • What is Generative AI, LLM, and how it is different from traditional AI.
  • How to use the OpenAI API and SDK to easily create chat completions.
  • Build a real-world chat application that takes any PDF file and answers questions about it.
  • Basic AI concepts such as the anatomy of Chat Completions, Tokens, System Prompts, Prompt Engineering and more.
  • Advanced concepts such as OpenAI Functions, Hallucinations, and how to provide external knowledge to the AI.
  • How to utilize Vector Stores (Embeddings) to store large amounts of data and provide additional context to the AI.
  • How to fetch real-time information as needed (e.g. get stock from a database).
  • The Vercel AI SDK and how it helps us to easily build robust AI chatbots with Next.js.
  • Token limitation challenges and how to easily deal with them.

    Who this course is for:

    • jаvascript/TypeScript developers who want to learn more about the fundamentals of the Generative AI landscape
    • Developers looking to integrate AI into their side projects or work, and want to quickly get up to speed
    • Existing AI developers who want to learn important concepts such as Agents, RAG, Function Calling, real-time data access, Vector Stores and more.


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