Supercomputers for training and inference
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.
8 units · 24 lessons · 8 projects · 16 quizzes
Welcome to the AI Training & Deployment Skill Path!
Learn about token embeddings, positional encodings, and vocabulary.
Implement self-attention, multi-head attention, and transformer blocks.
Learn about optimization techniques, learning rates, and training loops.
Understand GPU utilization, distributed training, and model parallelism.
Learn how to adapt pre-trained models for specific tasks.
Deploy models to production with inference optimization.
Explore RLHF, prompt engineering, and model evaluation.