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Google Cloud Skills Boost for Partners

Use Case: Vertex AI

school 3 activities
update Last updated over 1 year
person Managed by Google Cloud Partners
This learning path covers core elements of Vertex AI. These courses look at how Vertex AI combines data engineering, data science, and ML engineering workflows, to help you train and deploy ML models and AI applications, and customize large language models (LLMs) for use in your AI-powered applications. This course does not focus on Generative AI. You can find out about Generative AI in Vertex AI in the Generative AI learning paths.
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Activity Thumbnail for How Google Does Machine Learning
01 How Google Does Machine Learning
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access_time 24 hours
show_chart Introductory

This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models....

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Activity Thumbnail for Machine Learning in the Enterprise
02 Machine Learning in the Enterprise
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access_time 32 hours
show_chart Introductory

This course takes a real-world approach to the ML Workflow through a case study. An ML team faces several ML business requirements and use cases. The team must understand the tools required for data management and governance and consider the...

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Activity Thumbnail for Build and Deploy Machine Learning Solutions on Vertex AI
03 Build and Deploy Machine Learning Solutions on Vertex AI
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access_time 7 hours
show_chart Intermediate

Earn the intermediate skill badge by completing the Build and Deploy Machine Learning Solutions on Vertex AI course, where you will learn how to use Google Cloud's Vertex AI platform, AutoML, and custom training services to train, evaluate, tune, explain,...

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