Google Vertex AI
Google Vertex AI is Google Cloud’s managed platform for developing, training, deploying, and managing machine-learning models and AI applications.
Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI
Vertex AI is Google Cloud's managed machine-learning platform for developing, training, deploying, and managing machine-learning models.
- How it is used
- Deploys trained models behind cloud endpoints and connects them to web applications.
- How deep it goes
- Traces project setup, artifact import, endpoint deployment, console testing, and Flask integration without detailing platform internals.
- Examples
- Uses a Kuala Lumpur real-estate classifier, console JSON prediction, and a Flask application adapted from local model serving.
- What you can do after
- Operate/configure a Vertex AI endpoint and invoke it from a Flask application using the Python SDK.
Starting Data Analytics with Generative AI and Python
Google Cloud's managed platform for developing, deploying, and using machine-learning and generative AI models.
- How it is used
- Provides programmatic access to Google’s generative models for text, multimodal requests, code generation, and image generation.
- How deep it goes
- Demonstrates package installation and a Python completion call, but does not detail deployment or broader platform operations.
- Examples
- Uses pip installation and Python code to call gemini-1.0-pro with generation and harmful-content blocking settings.
- What you can do after
- Apply it via Python to generate responses from a selected Google model with configurable output and safety behavior.
Read how Starting Data Analytics with Generative AI and Python explains Google Vertex AI →
Related concepts
- contractuses · An API contract is a specification of the operations, data, and behavioral expectations that govern interactions between software components.
- service accountused by · A service account is a non-human identity or account used by software, services, or automated processes to authenticate and access authorized resources.
- cloud-agnostic architecturecontrasts with · An architecture designed to operate across cloud providers without depending on provider-specific infrastructure, services, or capabilities.
- Google Cloudpart of · Google Cloud is Google's public cloud computing platform, providing infrastructure, platform, and managed services for building and operating applications.
- pipelineused by · A pipeline is an ordered or coordinated sequence of connected processing stages or tasks that passes data, work, or results toward an outcome.
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