Descriptions
LangChain & LangGraph Masterclass: Build Production AI App, Master LangChain, LangGraph, RAG, and AI agent architectures to build, test, and deploy production-grade AI applications. In this comprehensive course, you will learn to build enterprise Retrieval-Augmented Generation systems using vector databases, stateful agentic workflows, secure FastAPI backends, and multimodal applications. The curriculum covers observability, evaluation, and tracing with LangSmith, as well as production infrastructure, caching, and deployment with Docker.
Through hands-on projects and real-world case studies, you will design autonomous multi-step agent pipelines, implement robust security patterns for AI systems, and engineer high-quality AI software solutions. By the end of this course, you will possess the end-to-end expertise required to architect, develop, evaluate, and deploy scalable enterprise AI systems from scratch.
What you’ll learn
- Build production-grade AI applications using LangChain, LangGraph, and modern LLM architectures
- Design and implement enterprise Retrieval-Augmented Generation (RAG) systems with vector databases
- Create stateful AI workflows, multi-step orchestration pipelines, and autonomous agent systems
- Build secure FastAPI backends with authentication, streaming responses, and production APIs
- Implement observability, tracing, evaluation, and debugging using LangSmith
- Develop multimodal AI applications that process text, images, PDFs, and audio
- Deploy scalable AI systems using Docker, cloud infrastructure, caching, and production engineering practices
- Build and deploy a complete enterprise AI application from architecture and development to testing and deployment
Who this course is for
- Python developers who want to transition into AI Engineering
- Backend engineers building production AI and LLM-powered applications
- Software architects designing enterprise AI platforms and intelligent systems
- AI and ML engineers looking to learn modern production deployment practices
- Technical founders and consultants building AI products and client solutions
- Developers who want hands-on experience with LangChain, LangGraph, RAG, and LangSmith
- Engineers interested in enterprise-grade AI architecture, security, observability, and deployment
Specificatoin of LangChain & LangGraph Masterclass: Build Production AI App
- Publisher : Udemy
- Teacher : Sudip Bhattacharyya
- Language : English
- Level : Intermediate
- Number of Course : 16
- Duration : 13 hours and 18 minutes
Content of LangChain & LangGraph Masterclass: Build Production AI App
Requirements
- Intermediate Python programming knowledge
- Basic understanding of APIs, HTTP requests, and backend development concepts
- Familiarity with Git and command-line tools
- A computer running Windows, macOS, or Linux with Python 3.11+ installed
- An OpenAI API key for hands-on exercises
- No prior experience with LangChain, LangGraph, or AI frameworks is required
Pictures
Sample Clip
Installation Guide
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Quality: 1080p
Download Links
Password file(s): www.downloadly.ir
File size
9.13 GB