Description

Agentic AI Masterclass: OpenAI Claude LangGraph & Vercel 2026-10 is a Udemy course taught by Hitesh Choudhary, Suraj Kumar Jha. Language: English; Duration: 24 hours and 52 minutes; 90 lessons.

This course follows the process of building AI applications with TypeScript and Next.js. Its project list includes a terminal coding agent, a GitHub code review tool, retrieval based assistants and applications with streaming AI responses. The examples bring model APIs, application data and user interfaces together in complete projects.

The curriculum covers OpenAI Agents SDK, Claude Agent SDK, LangGraph and Vercel AI SDK. It also introduces embeddings and vector search for retrieval, Inngest for background work, and authentication and database tools used in the sample applications. Review the course content image below for the individual projects and their listed lesson lengths.

What you will learn

Build ten AI application projects with TypeScript and Next.js.
Use OpenAI Agents SDK for tool calls, agent handoffs and input and output checks.
Create coding and code review tools with Claude Agent SDK.
Combine embeddings and Pinecone vector search to build assistants that cite their sources.
Model agent workflows with LangGraph and run background work with Inngest.
Build streaming AI interfaces with Vercel AI SDK.
Implement an agent SDK with tools, memory, planning and tracing.
Connect authentication and database tools including Clerk, Better Auth, Prisma and Drizzle.

Course specifications

Publisher: Udemy
Instructors: Hitesh Choudhary, Suraj Kumar Jha
Language: English
Level: Beginner to Advanced
Duration: 24 hours and 52 minutes
Lecture count: 90
Quality: 2160
Edition: 2026-10

Course topics

AI & Data Video Tutorial Artificial intelligence AI agents LangGraph

View course topics

Course topics · Udemy — Agentic AI Masterclass: OpenAI Claude LangGraph & Vercel 2026-10

Prerequisites

Working knowledge of JavaScript or TypeScript, including async programming and basic object oriented concepts.
Familiarity with React and Next.js is helpful; the course lists it as optional.
A computer with Node.js and a code editor such as VS Code.
Access to the model services used in the projects, including OpenAI and Anthropic.

Pictures

Introduction video

How to open the files

Download all fifteen parts of the selected edition into the same folder, then start extraction from Part 1. Use the copy button below if an archive password is requested.

After extraction, play the course videos with a compatible player. The listed video quality is 2160p and English subtitles are included.