Udemy – LangChain Mastery – Most Practical Course To Build AI Apps 2024-12

Udemy – LangChain Mastery – Most Practical Course To Build AI Apps 2024-12 Downloadly IRSpace

Apr 18, 2025 - 17:54 Updated: Aug 17, 2025 - 18:06

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Udemy – LangChain Mastery – Most Practical Course To Build AI Apps 2024-12

LangChain Mastery – Most Practical Course To Build AI Apps. A comprehensive and practical course that gives you a complete hands-on experience with LangChain, covering everything from basic concepts to advanced AI applications. This course is built with the latest version of LangChain (0.3) and also covers LangSmith. This course is designed to give you a comprehensive and practical experience with LangChain, covering everything from basic concepts to advanced AI applications.

Whether you’re looking to build AI-powered tools, automate data workflows, or leverage the latest LLM technologies, this course will guide you every step of the way. Prepare yourself for a hands-on, interactive experience that will transform your understanding of LangChain. With our simple three-step approach – why, what, how – you’ll learn to apply LangChain to solve real-world challenges.

What you will learn in LangChain Mastery – Most Practical Course To Build AI Apps

Understand the basics of Large Language Models (LLM) and LangChain to build a strong foundation for AI applications.
Master core concepts such as chains, memory, models, request patterns, and output parsers, explained with images and in simple language.
Proficiency in request engineering and output analysis to drive AI responses for diverse use cases.
Implement Retrieval Augmented Generation (RAG) to handle data, then explore advanced RAG techniques, including query translation, multi-query, indexing.
Build robust, state-based AI systems with LangGraph’s multi-agent workflow and real-time interaction capabilities.
Deploy and optimize AI applications with LangSmith, ensuring effective monitoring and debugging.
Create interactive AI applications using Streamlit, increasing engagement and user experience.

This course is suitable for people who:

New to LLM/GenAI but from the IT Industry
Career Transitioners
Learners with Some GenAI Experience
Experienced AI Developers

Note: This translation does not use the Persian equivalent of specialized terms such as “Large Language Model” or “Retrieval-Augmented Generation” in order to preserve specialized terms in English.