Join the informative workshop by ML6 and AWS to gain insights into the current landscape of AI/ML, the importance of MLOps, and how its adoption can enhance success in your ML journey. Learn about the latest developments, benefits, and challenges in the Generative AI landscape, and explore possible strategies and roadmaps. Additionally, the ML6 team will explain how Fondant can help you create high-quality datasets to train or fine-tune foundation models.

Get hands-on experience with Amazon SageMaker’s key MLOps components, such as Pipelines, and dive into an Amazon SageMaker Project template that contains all the resources needed to deploy the MLOps Foundation.

‍Don’t miss this opportunity to elevate your ML productivity and maintain optimal model performance in production. Sign up now and embark on a transformative journey with ML6 and Amazon!

WHO SHOULD ATTEND

Chief Data Officers, Heads of Data Science or Analytics, Data Scientists, Data Engineers, Data Platform and Cloud Architects, and anyone else interested in improving their approach to MLOps.

KEY CONCEPTS COVERED IN THE WORKSHOP

• ‍MLOps Foundations: Strategy, Challenges, Benefits Maturity Model and Considerations for Platform Standardisation (business-focused)
• SageMaker Overview for MLOps
• Customer Panel & Roundtable
• Model Development and Experimentation
• Implementing Repeatable Mechanisms to Automate, Govern Your Model Build, and Model Deployment Tasks
• Implementing Reliable Mechanisms to Deliver, Monitor, and Manage Models

PROGRAM

01:15 – 01:30 PM: Registration and check-in

01:30-02:00 PM: From MLOps to FMOps by Jan Van Looy

02:00-02:30 PM: Fondant Explained by ML6: “Fondant makes datasets; datasets make models”

02:30-02:50 PM: Break

02:50-03:20 PM: FMOps on Sagemaker by Mathias Leys (ML6) & AWS

03:20-04:40 PM: Customer case study by Pieterjan Criel (Showpad)

05:00-05:30 PM: Closing and networking