Auf dieser Seite erfahren Sie, wie Sie ein Google Cloud-Projekt erstellen, AML AI aktivieren, erstellen Authentifizierungsdaten und Ihrem Konto mindestens eine IAM-Rollen:
- Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.
- Install the Google Cloud CLI.
-
To initialize the gcloud CLI, run the following command:
gcloud init
-
Create or select a Google Cloud project.
-
Create a Google Cloud project:
gcloud projects create PROJECT_ID
Replace
PROJECT_ID
with a name for the Google Cloud project you are creating. -
Select the Google Cloud project that you created:
gcloud config set project PROJECT_ID
Replace
PROJECT_ID
with your Google Cloud project name.
-
-
Make sure that billing is enabled for your Google Cloud project.
-
Enable the required APIs:
gcloud services enable financialservices.googleapis.com
bigquery.googleapis.com cloudkms.googleapis.com -
If you're using a local shell, then create local authentication credentials for your user account:
gcloud auth application-default login
You don't need to do this if you're using Cloud Shell.
-
Grant roles to your user account. Run the following command once for each of the following IAM roles:
roles/financialservices.admin, roles/cloudkms.admin, roles/bigquery.admin
gcloud projects add-iam-policy-binding PROJECT_ID --member="USER_IDENTIFIER" --role=ROLE
- Replace
PROJECT_ID
with your project ID. -
Replace
USER_IDENTIFIER
with the identifier for your user account. For example,user:myemail@example.com
. - Replace
ROLE
with each individual role.
- Replace
- Install the Google Cloud CLI.
-
To initialize the gcloud CLI, run the following command:
gcloud init
-
Create or select a Google Cloud project.
-
Create a Google Cloud project:
gcloud projects create PROJECT_ID
Replace
PROJECT_ID
with a name for the Google Cloud project you are creating. -
Select the Google Cloud project that you created:
gcloud config set project PROJECT_ID
Replace
PROJECT_ID
with your Google Cloud project name.
-
-
Make sure that billing is enabled for your Google Cloud project.
-
Enable the required APIs:
gcloud services enable financialservices.googleapis.com
bigquery.googleapis.com cloudkms.googleapis.com -
If you're using a local shell, then create local authentication credentials for your user account:
gcloud auth application-default login
You don't need to do this if you're using Cloud Shell.
-
Grant roles to your user account. Run the following command once for each of the following IAM roles:
roles/financialservices.admin, roles/cloudkms.admin, roles/bigquery.admin
gcloud projects add-iam-policy-binding PROJECT_ID --member="USER_IDENTIFIER" --role=ROLE
- Replace
PROJECT_ID
with your project ID. -
Replace
USER_IDENTIFIER
with the identifier for your user account. For example,user:myemail@example.com
. - Replace
ROLE
with each individual role.
- Replace
Erforderliche Berechtigungen
Die folgenden Berechtigungen sind erforderlich, um den Kurzanleitung und werden für viele wichtige AML AI-Aktionen benötigt.
Berechtigung | Beschreibung |
---|---|
cloudkms.keyRings.create | Cloud KMS-Schlüsselbund erstellen |
cloudkms.cryptoKeys.create | Cloud KMS-Schlüssel erstellen |
financialservices.v1instances.create | AML AI-Instanz erstellen |
financialservices.operations.get | AML AI-Vorgang abrufen |
cloudkms.cryptoKeys.getIamPolicy | IAM-Richtlinie für einen Cloud KMS-Schlüssel abrufen |
cloudkms.cryptoKeys.setIamPolicy | IAM-Richtlinie für einen Cloud KMS-Schlüssel festlegen |
bigquery.datasets.create | BigQuery-Dataset erstellen |
bigquery.datasets.get | BigQuery-Dataset abrufen |
bigquery.transfers.get | BigQuery Data Transfer Service-Übertragung erhalten |
bigquery.transfers.update | BigQuery Data Transfer Service-Übertragung erstellen oder löschen |
bigquery.datasets.setIamPolicy | IAM-Richtlinie für ein BigQuery-Dataset festlegen |
bigquery.datasets.update | BigQuery-Dataset aktualisieren |
financialservices.v1datasets.create | AML AI-Dataset erstellen |
financialservices.v1engineconfigs.create | AML AI-Engine-Konfiguration erstellen |
financialservices.v1models.create | AML-KI-Modell erstellen |
financialservices.v1backtests.create | AML AI-Backtest-Ergebnis erstellen |
financialservices.v1backtests.exportMetadata | Metadaten aus einem AML-KI-Backtestergebnis exportieren |
financialservices.v1instances.importRegisteredParties | Registrierte Parteien in eine AML-KI-Instanz importieren |
financialservices.v1predictions.create | AML AI-Vorhersageergebnis erstellen |
bigquery.jobs.create | BigQuery-Job erstellen |
bigquery.tables.getData | Daten aus einer BigQuery-Tabelle abrufen |
financialservices.v1predictions.delete | AML-KI-Vorhersageergebnis löschen |
financialservices.v1backtests.delete | AML AI-Backtest-Ergebnis löschen |
financialservices.v1models.delete | AML AI-Modell löschen |
financialservices.v1engineconfigs.delete | AML AI-Engine-Konfiguration löschen |
financialservices.v1datasets.delete | AML AI-Dataset löschen |
financialservices.v1instances.delete | AML AI-Instanz löschen |
bigquery.datasets.delete | BigQuery-Dataset löschen |