This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some courses have accessibility limitations and are working to address. If you require accommodation, please contact AWS Training and Certification Customer Support.
Learners can gain a complete, repeatable workflow for fine-tuning Amazon Nova models using the Nova Forge SDK, covering environment setup, data preparation, training configuration with data mixing ratios, launching supervised fine-tuning jobs with LoRA on SageMaker HyperPod, and evaluating results. The course emphasizes data mixing -- blending domain-specific data with curated datasets -- to improve task performance without losing general model capabilities. Participants will learn practical skills they can adapt to their own use cases, building on foundational SDK knowledge from earlier parts in the series.
