AWS and the AI Innovation Center are bringing to you a Hands-on Workshop to enable you and your organisation to leverage the power of Machine Learning.

About the event
MLOps (Machine Learning Operations) is a relatively new topic defined by a set of practices that aim to deploy, maintain and automate machine learning models in production reliably, efficiently and securely.

Amazon SageMaker provides purpose-built tools for MLOps to help you automate and standardize processes across the ML lifecycle.

Using SageMaker MLOps tools, you can easily train, test, troubleshoot, deploy, and govern ML models at scale to boost the productivity of data scientists and ML engineers whilst maintaining model performance in production.

In this workshop you’ll hear about the current state of AI/ML, what is MLOps, and why its adoption is so important for success in your ML Journey (benefits and challenges).

We’ll introduce the AWS MLOps foundations, strategy and roadmap, and you’ll get hands-on with Amazon Sagemaker’s main components for MLOps like Pipelines.

We will work on an Amazon SageMaker Project template that contains the resources required to deploy the MLOps Foundation.

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.

Requirements
– Basic knowledge of Amazon SageMaker; basic knowledge of AWS cloud
– Good knowledge of ML workflows

Agenda
3:00 pm: Welcome and agenda introduction – 30 min
3:30 pm:
* Introduction into MLOps – 30 min
* MLOps with Amazon SageMaker – 30 min
* Hands-on lab: SageMaker Pipelines – 30 min
* Hands-on lab: SageMaker Projects – 45 min
* Q&A – 15 min
6:00 pm: Network and drinks

Featured Speakers
– Felipe Augusto Chies – Sr. Specialist – Biz Dev AI/ML
– Davide Gallitelli – Specialist SA AI/ML