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Developing Kubeflow Pipeline Components for Vertex AI

Offered By: NashKnolX via YouTube

Tags

Kubeflow Courses Machine Learning Courses Cloud Computing Courses TensorFlow Courses Docker Courses Google Cloud Platform (GCP) Courses MLOps Courses Vertex AI Courses Containerization Courses

Course Description

Overview

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Learn to develop and deploy components of Kubeflow pipelines in Vertex AI, Google's cloud-based machine learning platform. Explore pipeline components, stateful and service components, pipeline annotations, and visualizations. Discover how Vertex AI integrates various aspects of production machine learning projects, including TensorFlow, and understand its use cases for executing ML jobs efficiently.

Syllabus

Introduction
Pipeline Components
Additional Features
Use Cases
Stateful vs Service
Components
Pipeline Annotation
Pipeline Visualization
Component List
Vertex AI
Tensorflow


Taught by

NashKnolX

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