Master and Build Large Language Models

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Code with Sebastian Raschka
Sebastian Raschka and Abhinav Kimothi
  • Course duration: 17h 15m
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catalog / Data Science / Machine Learning / Large Language Models
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The best way to understand LLMs is to build one yourself. This course gives you that power.

Master the inner workings of how large language models like GPT really work with hands-on coding sessions led by bestselling author Sebastian Raschka. These companion videos to Build a Large Language Model from Scratch walk you through real-world implementation, starting with pre-requisite videos to fill in any knowledge gaps.

This course is perfect for:
  • Software Engineers ready to lead AI initiatives
  • Data Scientists wanting deep LLM expertise
  • ML Researchers seeking implementation mastery
  • Technical Leaders who need to understand AI architecture
  • Ambitious Learners passionate about cutting-edge technology

prerequisites

We've added six essential prerequisite videos covering everything from Python fundamentals to advanced PyTorch operations, ensuring you can succeed regardless of your starting point.
  • 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

about the instructor

Sebastian Raschka, PhD, is an LLM Research Engineer with over a decade of experience in artificial intelligence. His work spans industry and academia, including implementing LLM solutions as a senior engineer at Lightning AI and teaching as a statistics professor at the University of Wisconsin–Madison. He is the author of the bestselling books Machine Learning with PyTorch and Scikit-Learn, and Machine Learning Q and AI.

Abhinav Kimothi is a seasoned data and AI professional. He has spent over 15 years in consulting and leadership roles in data science, machine learning and AI, and currently works as a Director of Data Science at Sigmoid.
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