Master and Build Large Language Models

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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.