AI For JavaScript Developers (OpenAI, Embeddings, Vercel AI) Course
Learn how to build AI agents and chat bots using TypeScript, OpenAI, Vector Store, Functions, LlamaIndex and more.
The AI For JavaScript Developers (OpenAI, Embeddings, Vercel AI) Course is designed to help you build AI agents and chatbots using TypeScript, OpenAI, Vector Store, Functions, LlamaIndex, and more. It is taught by Ariel Weinberger, a seasoned developer and engineering manager with experience in back-end, front-end, infrastructure, and cloud technologies.
The AI For JavaScript Developers Course covers fundamental AI concepts such as Tools, Agents, RAG, Vector Stores, Embeddings, Function Calling, Tokens, and more. You will learn how to build scalable AI apps that have a massive knowledge base using Embeddings and Vector Stores. You will also learn how to build AI-powered software that can fetch information from real-time data sources.
The AI For JavaScript Developers (OpenAI, Embeddings, Vercel AI) Course is structured to help you take your experience as a JavaScript/TypeScript developer and build real-world AI-powered applications. You will learn how to analyze sentiment, recommend products, personalize communications, craft chatbots and much more.
The course is ideal for JavaScript/TypeScript developers who want to learn more about the fundamentals of the Generative AI landscape. It is also suitable for developers looking to integrate AI into their side projects or work and want to quickly get up to speed.
What you’ll learn in AI For JavaScript Developers Course
- Building AI-powered apps and chatbots using OpenAI, Node and JavaScript/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
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