YoVDO

From Notebook to Kubernetes: Scaling GenAI Pipelines with ZenML

Offered By: MLOps.community via YouTube

Tags

MLOps Courses Cloud Computing Courses Kubernetes Courses Jupyter Notebooks Courses Generative AI Courses Data Processing Courses Scalability Courses Model Training Courses Machine Learning Pipelines Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a lightning talk demonstrating how ZenML, an open-source MLOps framework, facilitates the seamless transition from local development to cloud-scale deployment of generative AI pipelines. Follow a workflow that begins in a Jupyter notebook with local data processing steps and scales up by offloading intensive training to Kubernetes. Discover ZenML's Kubernetes integration and caching features, which streamline the development-to-production pipeline for generative AI projects. Learn from Alex Strick van Linschoten, an ML engineer at ZenML, as he shares insights on scaling GenAI pipelines efficiently. Gain valuable knowledge on optimizing your MLOps workflow in just 13 minutes, courtesy of the MLOps.community.

Syllabus

From Notebook to Kubernetes: Scaling GenAI Pipelines with ZenML // Alex Strick van Linschoten


Taught by

MLOps.community

Related Courses

Introduction to Data Science in Python
University of Michigan via Coursera
Julia Scientific Programming
University of Cape Town via Coursera
Python for Data Science
University of California, San Diego via edX
Probability and Statistics in Data Science using Python
University of California, San Diego via edX
Introduction to Python: Fundamentals
Microsoft via edX