Learning Complete Vercel AI Masterclass

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Complete Vercel AI Masterclass
Published 6/2026
Created by Telusko Edutech, Naman Pahariya
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 42 Lectures ( 4h 3m ) | Size: 4.2 GB
Build AI-powered applications using the Vercel AI SDK, RAG, Tool Calling, Embeddings, and Next.js.

What you'll learn
Build production-ready AI applications using the Vercel AI SDK and Next.js.
Implement AI features such as streaming responses, structured outputs, and tool calling.
Understand and build Retrieval-Augmented Generation (RAG) applications using vector embeddings.
Deploy AI applications to production using Vercel and a production database.
Build a complete AI-powered knowledge base project from scratch.
Use v0 to rapidly build modern AI application interfaces.
Requirements
Basic knowledge of JavaScript is recommended.
No prior experience with AI, LLMs, or the Vercel AI SDK is required.
Description
Build Modern AI Applications with the Vercel AI SDK
Artificial Intelligence is changing the way we build applications, and the Vercel AI SDK makes it easier than ever to create fast, scalable, and production-ready AI experiences.
In this course, you'll learn how to build modern AI applications from scratch using the Vercel AI SDK. Whether you're a React developer, full-stack developer, or someone interested in AI development, this course will help you understand both the fundamentals and practical implementation of AI-powered applications.
We'll begin by covering the core concepts behind Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Vector Embeddings so you understand how modern AI systems work before writing any code.
Next, you'll dive deep into the Vercel AI SDK, learning how to generate streaming responses, create structured outputs, work with embeddings, implement tool calling, handle multi-step tool execution, and build AI workflows.
You'll also learn how Retrieval-Augmented Generation (RAG) works by building a complete knowledge base application. Along the way, you'll implement document chunking, generate embeddings, store vectors, perform semantic search, and integrate AI chat capabilities into a real-world project.
In addition, you'll explore v0 to accelerate UI development and finally deploy your application to production using Vercel and a production database.
What you'll learn
Understand Large Language Models (LLMs)
Learn Retrieval-Augmented Generation (RAG)
Master Vector Embeddings and Similarity Search
Use the Vercel AI SDK effectively
Build streaming AI chat applications
Generate structured AI responses
Implement Tool Calling and Multi-Step Tool Calling
Create AI-powered Next.js applications
Build a complete RAG Knowledge Base project
Use v0 to generate UI components
Deploy production-ready AI applications on Vercel
Who this course is for
React and Next.js developers who want to build AI-powered applications.
Full-stack JavaScript developers interested in modern AI development.
Developers who want to learn the Vercel AI SDK, RAG, embeddings, and tool calling.
Anyone looking to build real-world AI projects for their portfolio or production use.
Homepage

https://www.udemy.com/course/complete-vercel-ai-masterclass

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