Mastering ML Workflows with AWS SageMaker and MLOps

Event Info

January 24, 2024

4:00 PM - 4:30 PM CET

Italian

About this webinar

Deploying machine learning models into production is a challenging endeavour that often leads to disappointment, with a staggering 87% of data science projects never reaching the production environment. To overcome this obstacle and harness the full potential of your machine learning workflows, efficient management of the entire ML lifecycle is crucial. MLOps emerges as the solution, revolutionising ML workflows by automating and standardising processes. In this engaging session, we delve into the power of MLOps, specifically leveraging AWS SageMaker, to streamline and accelerate your machine learning pipelines in the AWS Cloud environment. Discover how MLOps adopts the proven principles of DevOps, ensuring faster, more efficient, and predictable model deployments with enhanced traceability and control.

Why attend

The purpose of this session is to help you overcome the most common hurdles and challenges associated with a machine learning project. Following our session, which focuses on understanding the basic concepts of MLOps and gaining control over ML workflows, you will be able to broaden your knowledge on the topic and be better prepared to tackle real-world use cases.

Discover how MLOps, with a dedicated focus on AWS SageMaker, automates and standardises processes, making your ML pipelines more efficient and reliable. Whether you are a data scientist, data engineer, software developer, or a business leader seeking to leverage machine learning, this session is tailored to empower you. Gain valuable knowledge and tools to elevate your decision-making abilities through the power of MLOps. We'll help you re-evaluate your approach to deploying machine learning models in the AWS Cloud environment, ensuring streamlined workflows, increased control, and accelerated success.

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