AWS AI Practitioner: Training, Fine-Tuning, and Evaluating Foundation Models

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. Foundation models (FMs) are designed to be highly adaptable, capable of performing a wide range of tasks such as natural language processing and image classification. However, they must also be properly trained, fine-tuned, evaluated, and tested. In this course, examine the elements for training and methods for fine-tuning a foundation model. Learn how to prepare data for fine-tuning and evaluate foundation model performance using human evaluation, benchmark datasets, and various metrics. Finally, discover the process used to determine if a foundation model effectively meets business objectives. This course is part of a collection that prepares you for the AIF-C01: AWS Certified AI Practitioner exam.