Udemy
LangChain- Agentic AI Engineering with LangChain & LangGraph
Artificial Intelligence · Data Science · Development
Library / Artificial Intelligence
On Udemy
Welcome to this brand new course on LangGraph, which allows us to build agentic LLM applications. Unleash the Full Potential of AI with LangGraph & LangChain!
By the end of this course, you will be equipped with the skills to seamlessly integrate LLM agents into your applications, opening up new possibilities and horizons.
We are witnessing a rapid ascent in AI capabilities, with groundbreaking advancements occurring annually. This swift progress has the potential to significantly reshape our world in the coming years.
Three pivotal advancements are poised to make a profound impact: Infinite Context Windows, Text to Action, and Agents.
Agents: The New Frontier in AIAgents are autonomous intelligent entities designed to perform tasks, process information, and interact within a language-based framework. These agents are significantly expanding the potential of AI across various domains.
Agentic AI is revolutionizing industries, offering enhanced applications in fields such as legal document analysis, medical diagnostics, and software development. Imagine an army of skilled programmers working around the clock to develop software solutions for you.
In this course, we will delve into LangGraph, an extension of LangChain specifically designed for agent and multi-agent workflows. LangGraph enables highly customizable and controllable agent flows, ideal for complex scenarios.
We will also explore LangSmith, a platform for tracing and debugging your production-grade LLM applications.
What You'll Learn:
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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