Production-grade AI agents with LangChain.js, LangGraph.js, RAG, Next.js, LangSmith & real JS/TS projects
Sub Category
- Data Science
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Objectives
- Design, build and ship production-grade AI agents using LangChain.js, LangGraph.js and modern TypeScript/JavaScript.
- Implement real projects: web search agent, docs chat (RAG), code-driven tools and agentic workflows with clean, testable APIs.
- Master JSON-first patterns, Zod schemas, tool calling and structured outputs to make agents reliable, debuggable and observable.
- Deploy and monitor agents using LangSmith & LangGraph Cloud, integrate with Next.js UIs, and prepare for real-world production use.
Pre Requisites
- JavaScript/TypeScript and Node.js basics (functions, async/await, npm).
- Familiarity with Git, REST APIs, JSON, environment variables and VS Code (or similar).
- Basic React/Next.js knowledge is helpful but not mandatory; we walk through the integrations.
- No prior ML/AI required.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. 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!
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