Learn LangChain: AI & RAG
Learn LangChain: AI & RAG by Shahbaz Khan: rank, rating, keywords, reviews and trend on the Apple App Store.
- Publisher
- Shahbaz Khan
- Category
- Education
- Store
- Apple App Store
- Price
- ₩6,600
- Top paid rank
- #49
- Released
- 2026-08-03
- Last updated
- 2026-08-03
About Learn LangChain: AI & RAG
Learn LangChain and build modern AI applications with practical, structured lessons.Learn how large language model apps work—from prompt templates and chat models to chains, agents, retrieval-augmented generation, and production deployment. Whether you are beginning with LangChain or expanding your LLM engineering skills, Learn LangChain helps you study the concepts and patterns used to build real AI products. WHAT YOU’LL LEARN - LangChain fundamentals and setup - LLMs, chat models, prompts, and structured output - LCEL and composable application chains - Memory, conversation workflows, and state - Document loaders, text splitters, embeddings, and vector stores - Retrieval-augmented generation, or RAG - Advanced RAG patterns, including Graph RAG and Agentic RAG - AI agents, tools, ReAct workflows, and multi-agent systems - LangGraph concepts, nodes, state, and workflows - LangSmith, LangServe, templates, observability, and debugging - Vector databases, semantic search, and retrieval pipelines - AI evaluation, testing, quality measurement, and RAG evaluation - Streaming, caching, error handling, scaling, and production architecture - LoRA and efficient LLM fine-tuning - vLLM, model serving, inference, and deployment concepts - CrewAI and modern multi-agent application patterns - MCP concepts and connected AI workflows BUILD HANDS-ON PROJECTS Apply what you learn through practical projects, including: - Q&A bots with RAG - Multi-document research agents - AI customer supp
Keywords
rag, ai, langchain, learn, agents, workflows
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