YoVDO

Real-Time Event Processing for AI/ML with Numaflow

Offered By: MLOps.community via YouTube

Tags

Machine Learning Courses Kubernetes Courses MLOps Courses Data Engineering Courses Inference Courses Scalability Courses Streaming Data Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore real-time event processing for AI/ML with Numaflow in this 23-minute conference talk by Sri Harsha Yayi from Intuit. Learn how Numaflow, an open-source Kubernetes-native platform, addresses challenges in event processing and running inference on streaming data. Discover how this solution simplifies integration with various messaging systems, enables intermediate processing before inference, and scales event processing to handle fluctuating volumes. Gain insights into streamlining workflows for ML engineers, data engineers, and application developers working with streaming data. Understand how Numaflow overcomes complexities in event processing and inference, making it accessible without a steep learning curve.

Syllabus

Real-Time Event Processing for AI/ML with Numaflow // Sri Harsha Yayi // DE4AI


Taught by

MLOps.community

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent