Orchestrate ML Workflows with Vertex AI Pipelines
Enroll now →
About this course
Discover how to orchestrate ML workflows on Google Cloud. Explore the business drivers for orchestration and the technical architecture of Vertex AI Pipelines. Learn to create MLOps pipelines using a flexible, hybrid approach: utilize the no-code Template Gallery or construct custom workflows with the Kubeflow Pipelines (KFP) SDK and Google's pre-built components. Finally, accelerate your workflows using the Data Science Agent—an AI-powered collaborator that automates pipeline code generation.
What you'll learn
- understand the business drivers for ML workflow orchestration
- navigate the technical architecture of Vertex AI Pipelines
- create MLOps pipelines using various approaches
- utilize the AI-powered Data Science Agent for pipeline code generation
Course objectives
- explore the benefits of orchestrating ML workflows
- demonstrate the use of no-code templates for ML pipelines
- build custom workflows using the KFP SDK
Skills you'll gain
Related courses
Machine Learning for Trading
USD 49
Data Science Foundations
USD 49
Virtualization, Docker, and Kubernetes for Data Engineering
USD 49
Cloud Computing Law: Data Protection and Cybersecurity
USD 49
DataPrep for H2O Driverless AI
USD 49
The Complete Quantum Computing Course
USD 199.99
Internet of Things and AI Cloud
USD 49
Applied Natural Language Processing in Engineering Part 2
USD 49
Course details are provided by the platform and may change — always confirm on the provider's site. Links may be affiliate links.