Description
LangGraph for Developers: From Zero to Hero is a course on how to build intelligent, graph-based applications using LangGraph, published by Udemy Online Academy. This is a hands-on, hands-on course that teaches you how to build intelligent, graph-based applications using LangGraph, guiding you from fundamental concepts to advanced real-world development. You will learn how LangGraph structures data for powerful contextual relationships, how to effectively model entities and relationships, and how to query and manipulate graph data to solve complex problems such as recommender systems, knowledge reasoning, and dynamic workflows. The course covers the core principles of graph theory in modern AI systems and backend systems, how to integrate LangGraph into your codebase, and how to combine it with external data sources and AI models for further insights.
In this comprehensive LangGraph course, you will learn how to design, build, and deploy production-ready agent-based AI systems using LangGraph, Large Language Models (LLM), MCP, and FastAPI. This course is specifically designed for developers who want to master graph-based LLM coordination and go beyond simple chatbot demos. By the end, you will be able to confidently design, build, and deliver complex graph-based solutions, with key topics including graph modeling, API integration, performance optimization, AI enhancement, and deployment workflows, all covered in a cohesive learning experience.
What you will learn in LangGraph for Developers: From Zero to Hero:
- Understand operating systems and clearly differentiate them from traditional LLM applications.
- Design AI agent architectures using modern agent patterns, memory, and tool-based reasoning.
- Build AI agents in production with LangGraph, MCP pipelines, and multi-agent collaboration.
- Secure, evaluate, and monitor AI agents using guardrails, Langfuse, observability, authentication, and performance metrics.
- Deploy scalable agent systems in the cloud using Docker, FastAPI, and real-world production workflows.
- Architect end-to-end AI agent APIs, from LLM integration and tooling to backend connectivity and real-world system deployment.
- And…
Course specifications
Publisher: Udemy
Instructors: Arnab Das
Language: English
Level: Intermediate
Number of Lessons: 33
Duration: 6 hours and 16 minutes
Course topics
LangGraph for Developers: From Zero to Hero Prerequisites
Basic Python programming knowledge (functions, classes, virtual environments)
Familiarity with REST APIs and JSON
Fundamental understanding of LLMs or prior experience using ChatGPT or similar tools
A laptop or desktop with internet access
Willingness to install Python, VS Code, Pycharm and required libraries
Pictures
LangGraph for Developers: From Zero to Hero introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Downloadly link
File password (s): www.downloadly.ir
Size
2.7 GB
