Description
LangChain & LangGraph Mastery: RAG, Agents & AI Workflows is a course on using LangChain and LangGraph and mastering Agents published by Udemy Online Academy. This is a comprehensive and practical course that teaches you how to build advanced AI applications using LangChain and LangGraph and mastering Retrieval-Augmented Generation (RAG), intelligent agents, and end-to-end AI workflows. You will learn how to connect language models with external data sources, vector databases, and knowledge graphs to create applications that retrieve and reason about relevant information in real time. The course covers building and coordinating autonomous AI agents that can perform tasks, make decisions, and interact with APIs and tools, as well as designing scalable workflows that combine multiple AI components.
By the end, you will be able to confidently design and deploy powerful, data-driven AI solutions, covering key topics including RAG systems, vector search, agent frameworks, LangChain and LangGraph principles, workflow automation, and production-ready deployment strategies—all delivered in a single, cohesive learning experience.
What you will learn in LangChain & LangGraph Mastery : RAG, Agents & AI Workflows:
- Integrate multiple LLM providers such as OpenAI, Hugging Face, Gemini, and Anthropic into LangChain applications.
- Design reusable and maintainable prompts using PromptTemplate and ChatPromptTemplate.
- Generate reliable, machine-readable AI outputs using structured outputs and output parsers.
- Load, preprocess, and manage documents for real-world AI use cases using document loaders.
- Apply advanced text segmentation strategies to optimize context quality, retrieval, and embedding.
- Create and manage embeddings for semantic search and Retrieval Augmented Generation (RAG).
- And…
Course specifications
Publisher: Udemy
Instructors: EduVerse Academy
Language: English
Level: Introductory to Advanced
Number of Lessons: 13
Duration: 8 hours and 38 minutes
Course topics
LangChain & LangGraph Mastery : RAG, Agents & AI Workflows Prerequisites
Basic knowledge of Python programming is required.
Familiarity with fundamental programming concepts such as functions, variables, and classes.
Basic understanding of APIs is helpful but not mandatory.
A system with Python installed and internet access for LLM APIs.
Pictures
LangChain & LangGraph Mastery : RAG, Agents & AI Workflows introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
5.4 GB
