Oracle Cloud Infrastructure AI Foundations: ML Workflow & Recommendation Systems

After decades of use, machine learning (ML) has evolved into a discipline with clearly defined workflows for building, training, testing, and deploying models. This ML workflow offers a structured approach to developing solutions, with critical steps like hyperparameter tuning playing a key role in shaping model accuracy and overall performance.In this course, explore machine learning algorithm selection, feature extraction, and the role of feature engineering. Next, discover how hyperparameter tuning and validation guide model selection and distinguish between training and inference in real-world deployments. Finally, learn how to analyze recommendation systems and their importance in enabling discovery across various platforms.This course is part of a series that prepares learners for the Oracle Cloud Infrastructure 2025 AI Foundations Associate (1Z0-1122-25) certification.