AI Engineering Bootcamp: Build, Train & Deploy Models with AWS SageMaker

Learn to build end-to-end AI applications using AWS SageMaker & Hugging Face: prepare your own datasets, train and modify your own models, then deploy and scale your AI applications into the real world.

• Section 0: Introduction
• Section 1: Introduction to AWS, Environment Setup, and Best Practices
• Section 2: A Gentle Introduction to HuggingFace in SageMaker
• Section 3: Gathering a Dataset for Our Multiclass Text Classification Project
• Section 4: Exploratory Data Analysis
• Section 5: Setting Up Our Training Notebook
• Section 6: Introduction to Tokenizations and Encodings
• Section 7: Setting Up Data Loading with PyTorch
• Section 8: Choose Your Path
• Section 9: Mathematics Behind Large Language Models and Transformers