Learn AI from the ground up
Skill Path
Learn the fundamentals of AI model training and deployment, from building GPT models to deploying them at scale.
Includes Neural Networks, Transformer Architecture, Model Optimization, and more.
AI model training has become increasingly powerful through the years. In this skill path, you'll learn how to build, train, and deploy transformer models like GPT-2. You'll work through fundamental concepts including tokenization, embeddings, attention mechanisms, and gain the skills necessary to develop and optimize large language models.
5 sections · 21 lessons · 596 steps
Build neural networks from scratch. Create an autograd engine, implement backpropagation, and develop character-level language models.
Master advanced neural network training techniques. Deep dive into batch normalization, initialization strategies, manual backpropagation, and hierarchical models.
Build a GPT from scratch. Understand self-attention, transformers, tokenization, and reproduce GPT-2 with production-grade training.
Demonstrate your mastery by studying the complete evolution of a GPT-2 training script, then building it yourself from scratch.
Based On
All lessons in this course are based on Andrej Karpathy's legendary "Neural Networks: Zero to Hero" YouTube series. His ability to explain complex AI concepts from first principles has inspired countless learners around the world.
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