Join us at the AWS Builder Loft in San Francisco for a hands-on workshop on model customization with AWS and NVIDIA. As companies move from AI prototypes to production, off-the-shelf models may not meet the accuracy, latency, and cost requirements. Whether it's an agent that drops tools, a chatbot that hallucinates, the model needs to learn your data, your rules, your domain. Fine-tuning a smaller open-weight model like Nemotron 3 on targeted tasks can match or exceed much larger proprietary models, delivering real cost savings while keeping your data inside your own secure infrastructure. This workshop gives you the hands-on experience to make that happen, and you'll leave with a customized model and a follow-up plan in hand.

What You'll Learn:

• Apply a customization framework to decide when to prompt-engineer vs. fine-tune
• Run a supervised fine-tuning (SFT) job on Nemotron 3 using Amazon Sagemaker AI
• Learn how model customization can improve agentic systems
• Understand when and how to use different types of fine-tuning techniques
• Evaluate your customized model against your baseline using custom metrics and benchmark evaluations
• Deploy your fine-tuned model to a SageMaker real-time endpoint

Who Should Attend

• ML engineers and data scientists building agentic or production AI workflows
• ML/AI leaders evaluating or deploying custom models in production
• Platform/infrastructure engineers responsible for training and inference at scale

Prerequisites
To get the most out of this session:
1) Bring a laptop (instructions provided upon registration)
2) Bring your hardest use case - we'll map it to a customization path during the workshop

Venue:
AWS Loft SF, 525 Market Street, 2nd Floor, San Francisco, CA 94105

• By registering for this event, you acknowledge that you are 18 years or older and agree to follow the AWS Code of Conduct and the AWS Event Terms and Conditions
• It is mandatory to bring valid physical government ID to enter the AWS Builder loft (No Digital IDs will be accepted).
• There is no scooter/bike parking available in the building. If you plan to bring one, you will need to find parking options nearby.
• All attendees must be 18 or older to attend this event at the space