Oracle Cloud Infrastructure AI Foundations Associate: Autoencoders and Transfer Learning

Autoencoders and Transfer Learning are specialized deep learning techniques addressing critical challenges in machine learning. Autoencoders reduce high-dimensional data into efficient representations to tackle the curse of dimensionality. Transfer Learning reuses knowledge from one trained model to accelerate learning and boost performance on related tasks.In this course, explore how autoencoders perform dimensionality reduction, anomaly detection, and generative modeling while improving data efficiency. Next, discover how transfer learning architectures leverage pretrained models and innovative techniques to accelerate training and enhance performance on related tasks. Finally, learn about contrast deep learning approaches and evaluate their suitability across problem domains, with emphasis on certification relevance.This course is part of a series that prepares learners for the Oracle Cloud Infrastructure 2025 AI Foundations Associate (1Z0-1122-25) certification.