Vertex AI - bobbae/gcp GitHub Wiki
Google's Vertex AI is a unified AI platform that brings Google AutoML and Google AI Platform together into a unified API, client library, and user interface.
General Concepts
https://cloud.google.com/vertex-ai/docs/general/general-concepts
Getting started
https://cloud.google.com/blog/products/ai-machine-learning/getting-started-with-vertex-ai
Going from notebook to a production ML model
Datasets
https://cloud.google.com/vertex-ai/docs/datasets/datasets
AutoML Models
https://cloud.google.com/vertex-ai/docs/training/training
Custom training
https://cloud.google.com/vertex-ai/docs/training/custom-training
Importing models
https://cloud.google.com/vertex-ai/docs/general/import
Model co-hosting
https://cloud.google.com/vertex-ai/docs/predictions/model-co-hosting
Configure models and get predictions
https://cloud.google.com/vertex-ai/docs/predictions/getting-predictions
Vertex AI Model Registry
Predictive Analytics
https://cloud.google.com/learn/what-is-predictive-analytics
Prediction market
Explainable AI
https://cloud.google.com/vertex-ai/docs/explainable-ai
https://medium.com/google-cloud/explainable-ai-with-google-cloud-vertex-ai-3b5cef44cbae
Model quality monitoring
https://cloud.google.com/vertex-ai/docs/model-monitoring
Serving AI models
https://cloud.google.com/ai-platform/prediction/docs/deploying-models
Vertex AI Pipelines
Orchestration of ML workflow using Vertex AI pipelines
https://cloud.google.com/vertex-ai/docs/pipelines
Building reusable ML workflows using pipeline templates
Serverless Spark components for Vertex AI Pipelines
https://cloud.google.com/vertex-ai/docs/pipelines/dataproc-component
Vertex AI Pipelines vs. Cloud Composer
https://medium.com/google-cloud/vertex-ai-pipelines-vs-cloud-composer-for-orchestration-4bba129759de
Feature Store
https://medium.com/hacking-talent/vertexais-feature-store-for-dummies-3d798b45ece4
Track ML metadata
https://cloud.google.com/vertex-ai/docs/ml-metadata
Vertex AI Workbench
https://cloud.google.com/vertex-ai/docs/workbench
Protecting confidential data in Vertex AI Workbench user-managed notebooks
https://cloud.google.com/architecture/protecting-confidential-data-in-ai-platform-notebooks
AI workbench with GKE
https://medium.com/@gogasca_/ai-workbench-with-gke-b3b204c81328
Experiments
https://cloud.google.com/vertex-ai/docs/experiments
Optimize with Vertex AI Vizier
https://cloud.google.com/vertex-ai/docs/vizier
Manage features using AI Features store
https://cloud.google.com/vertex-ai/docs/featurestore
https://towardsdatascience.com/do-you-really-need-a-feature-store-e59e3cc666d3
Vertex AI Matching Engine
https://cloud.google.com/vertex-ai/docs/matching-engine/overview
Perform vector similarity searches using Vertex AI Matching Engine
https://cloud.google.com/vertex-ai/docs/matching-engine
Monitor and secure
https://cloud.google.com/vertex-ai/docs/general/monitoring-security
Vertex AI Neural Architecture Search
https://research.google/pubs/pub45826/
Examples
automl vertex ai pipeline
Custom Training using Titanic survivor data
https://codelabs.developers.google.com/codelabs/vertex-ai-custom-code-training?hl=en#3
AutoML forecasting
https://codelabs.developers.google.com/codelabs/automl-forecasting-with-vertex-ai
Time Series Forecasting with Vertex AI and BigQuery ML
https://codelabs.developers.google.com/codelabs/time-series-forecasting-with-cloud-ai-platform#0
Running dbt on Vertex AI Pipelines
https://medium.com/datatonic/running-dbt-on-google-clouds-vertex-ai-pipelines-d85fa59aa15
Helpdesk Chatbot with Dialogflow CX, TFX and Vertex AI
Vertex AI articles
https://cloud.google.com/blog/products/ai-machine-learning/google-cloud-ai-2021-highlights
Creating Custom Vertex AI Pipelines
https://medium.com/@anna.bildea/how-to-set-up-custom-vertex-ai-pipelines-step-by-step-467487f81cad
Vertex AI custom containers
https://blog.searce.com/vertex-ai-custom-containers-for-the-deployment-of-ml-models-c02bfcdf3b30
Vertex AI Vizier
Vertex AI Vizier is a black-box optimization service that helps you tune hyperparameters.
Enabling network reachability of Vertex AI Pipelines
Alphafold
https://markryan-69718.medium.com/alphafold-for-everybody-c73d40d4b56d
Rapid model prototyping and deployment
Scalable ML Workflows using PyTorch on Kubeflow Pipelines and Vertex Pipelines
How To train and tune PyTorch models on Vertex AI
How to develop with PyTorch at lightning speed
Add preprocessing functions to Tensorflow models and deploy on Vertex AI
Price optimization notebook
Serving a Spark ML model on Vertex AI using a CI/CD Pipeline with Cloud Build and Cloud Function
Creating A Machine Learning Model For An NFT Horse Racing Game Using Vertex AI
Predict cab fare using pub/sub, dataflow, BigQuery and AI Platform
https://medium.com/@psvishnu/online-prediction-using-gcps-vertex-ai-e5fbc089906d
BigQuery, Vision AI, and Vertex AI SDK for Python to train a text entity extraction model
Measuring climate and land changes with AI
https://cloud.google.com/blog/topics/developers-practitioners/measuring-climate-and-land-changes-ai
Accelerate the deployment of ML
Vertex AI model training with custom containers
https://medium.com/google-cloud/how-to-train-ml-models-with-vertex-ai-training-f9046bfbcfab
Building a pipeline for data analytics and machine learning
Use Kubeflow pipelines for propensity modeling
https://cloud.google.com/architecture/use-kubeflow-pipelines-for-propensity-modeling
Qwiklabs
Qwik start
https://www.cloudskillsboost.google/focuses/18940?parent=catalog