ai-edu is a comprehensive AI education curriculum and machine learning courseware collection. It provides theoretical tutorials, deep learning lab exercises, and project blueprints designed to teach artificial intelligence fundamentals through a combination of study and practical implementation.
The project focuses on a learning-by-doing approach, guiding users from Python programming and neural network basics to advanced topics. It includes specialized instructional content on distributed AI training, MLOps educational guides for model quantization and pruning, and detailed frameworks for implementing natural language processing, computer vision, and speech applications.
The curriculum covers a broad range of capabilities, including model optimization, hardware acceleration, and the development of practical AI projects such as time series prediction and image classification. It also provides resources for managing AI infrastructure, analyzing distributed training, and deploying trained models for inference.
