Streamline and Scale: DevOps for Effortless Deployment & Monitoring of ML Models


Details
Join us for an engaging 1-hour session as we delve into the world of DevOps and its critical role in enabling seamless deployment and monitoring of ML models. In this captivating presentation, you will explore the complete flow of ML-enabled systems, from initial deployment to ongoing monitoring, and uncover the transformative power of DevOps practices in this context.
In this captivating session, we will dig deeper into handling the complete flow of ML-enabled system using DevOps going from its deployment to its monitoring. This session will include the following sections:
- What is DevOps and its need at all.
- How it affects the complete integration and delivery flow?
- How to setup pipeline for deployment and testing?
- How to use softwares like datadog, prometheus etc, to monitor the deployed system?
Whether you are a data scientist, developer, or operations professional, this session will equip you with the knowledge and tools necessary to integrate DevOps practices into your ML workflows. Unlock the potential of seamless deployment and robust monitoring, and empower your organization to scale its ML initiatives with confidence.

Streamline and Scale: DevOps for Effortless Deployment & Monitoring of ML Models