Manning – Master and Build Large Language Models 2025-7

Manning – Master and Build Large Language Models 2025-7 Downloadly IRSpace

Aug 17, 2025 - 02:42 Updated: Aug 19, 2025 - 14:37

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Manning – Master and Build Large Language Models 2025-7

Master and Build Large Language Models. This course helps participants become a professional modeler by learning the concepts and building a large language model. This course teaches the best way to understand large language models (LLMs) by building them. Led by experienced AI researcher Sebastian Raschka, participants will learn the inner workings of these models. In this course, you will learn how to code all the parts of an LLM, prepare a suitable dataset, fine-tune the model for text classification, use human feedback, and load pre-trained weights. This course is designed for software engineers, data scientists, and machine learning researchers who plan to build or adapt LLMs. It also includes six prerequisite videos by AI expert Abhinav Kimothy that cover Python basics, vector mathematics, PyTorch essentials, neural networks, and deep learning building blocks. These videos cover setting up a Python environment, mastering basic concepts, understanding the mathematics of AI, learning PyTorch operations, and the basics of neural networks. This comprehensive course ensures that participants, regardless of their initial knowledge level, will succeed in building large language models.

What you will learn

Planning and coding all parts of an LLM.
Preparing a suitable dataset for LLM training.
Fine-tune LLMs for text classification with your own data.
Using human feedback to ensure LLM follows instructions.
Loading pre-trained weights into an LLM

This course is suitable for people who:

Software engineers who are ready to lead AI projects.
Data scientists and machine learning researchers who want to build or adapt their LLMs.

Master and Build Large Language Models Course Details

Publisher: Manning
Instructor: Sebastian Raschka , Abhinav Kimothi
Training level: Beginner to advanced
Training duration: 17 hours and 15 minutes
Number of lessons: 54

Course topics

Master and Build Large Language Models

Prerequisites for the Master and Build Large Language Models course

Python Environment Setup – Get your development environment perfect from day one
Python Fundamentals – Master loops, conditionals, variables, functions, methods, and classes
Vector Mathematics – Build intuitive understanding of the math behind AI
PyTorch Essentials – From basic tensors to advanced operations
Neural Network Foundations – Dot products, matrix multiplication, and activation functions
Deep Learning Building Blocks – Linear layers, loss functions, backpropagation, and gradient calculation