Udemy – Learn Large Language Models (LLMs) with Python and LangChain 2025-3

Learn Large Language Models (LLMs) with Python and LangChain is a course on the fundamentals, tools, and techniques of building applications using large language models, published by Udemy Online Academy. This is a hands-on course that introduces learners to the fundamentals, tools, and techniques of building applications using large language models. Designed for developers, data scientists, and AI enthusiasts, this course guides you through integrating LLMs into real-world solutions using Python and the LangChain framework.

This beginner-friendly yet comprehensive course takes you deep into the world of transformer-based models—from basic architectures like BERT and RoBERTa to generative giants like GPT and Meta’s LLaMA. You’ll learn how to use APIs like OpenAI, build context-aware applications, and implement advanced features like memory, chains, tools, and agents, while following best practices in agile engineering and performance optimization. Whether you’re a beginner Python developer or someone curious about how LLM really works, this course will give you the theory, practical skills, and real-world insights to work confidently with modern AI tools.

What you will learn in Learn Large Language Models (LLMs) with Python and LangChain:

• Fundamentals of Large Language Models (LLMs)
• Encoder-only transformer architecture (BERT, RoBERTa, etc.)
• Decoder-only transformer architecture (GPT, LLaMA, etc.)
• Transfer learning and fine-tuning
• Recovery Augmented Generation (RAG)
• And…

Course specifications

Publisher: Udemy
Instructors: Holczer Balazs
Language: English
Level: Intermediate
Number of Lessons: 91
Duration: 10 hours and 53 minutes

Course topics on 2025/4

Learn Large Language Models (LLMs) with Python and LangChain Prerequisites

machine learning fundamentals
Python programming fundamentals

Pictures

Learn Large Language Models (LLMs) with Python and LangChain introduction video

Installation guide

After Extract, watch with your favorite Player.

Subtitle: None

Quality: 720p

Download link

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 759 MB

Size

2.7 GB