diff --git a/courses/machine_learning/deepdive2/mlops_vertexai_manage_features/labs/feature_store_streaming_ingestion_sdk.ipynb b/courses/machine_learning/deepdive2/mlops_vertexai_manage_features/labs/feature_store_streaming_ingestion_sdk.ipynb index 2e6f706c73..2025002cfa 100644 --- a/courses/machine_learning/deepdive2/mlops_vertexai_manage_features/labs/feature_store_streaming_ingestion_sdk.ipynb +++ b/courses/machine_learning/deepdive2/mlops_vertexai_manage_features/labs/feature_store_streaming_ingestion_sdk.ipynb @@ -28,9 +28,9 @@ "source": [ "## Overview\n", "\n", - "This notebook demonstrates how to use Vertex AI Feature Store's streaming ingestion at the SDK layer.\n", + "This notebook demonstrates how to use Agent Platform Feature Store's streaming ingestion at the SDK layer.\n", "\n", - "Learn more about [Vertex AI Feature Store](https://cloud.google.com/vertex-ai/docs/featurestore)." + "Learn more about [Agent Platform Feature Store](https://cloud.google.com/vertex-ai/docs/featurestore)." ] }, { @@ -41,11 +41,11 @@ "source": [ "### Objective\n", "\n", - "In this tutorial, you learn how to ingest features from a `Pandas DataFrame` into your Vertex AI Feature Store using `write_feature_values` method from the Vertex AI SDK.\n", + "In this tutorial, you learn how to ingest features from a `Pandas DataFrame` into your Agent Platform Feature Store using `write_feature_values` method from the Agent Platform SDK.\n", "\n", "This tutorial uses the following Google Cloud ML services and resources:\n", "\n", - "- Vertex AI Feature Store\n", + "- Agent Platform Feature Store\n", "\n", "\n", "The steps performed include:\n", @@ -76,10 +76,10 @@ "\n", "This tutorial uses billable components of Google Cloud:\n", "\n", - "* Vertex AI\n", + "* Agent Platform\n", "\n", - "Learn about [Vertex AI\n", - "pricing](https://cloud.google.com/vertex-ai/pricing) and use the [Pricing\n", + "Learn about [Agent Platform\n", + "pricing](https://cloud.google.com/products/gemini-enterprise-agent-platform/pricing) and use the [Pricing\n", "Calculator](https://cloud.google.com/products/calculator/)\n", "to generate a cost estimate based on your projected usage.\n" ] @@ -160,7 +160,7 @@ "\n", "2. [Make sure that billing is enabled for your project](https://cloud.google.com/billing/docs/how-to/modify-project).\n", "\n", - "3. [Enable the Vertex AI API](https://console.cloud.google.com/flows/enableapi?apiid=aiplatform.googleapis.com).\n", + "3. [Enable the Agent Platform API](https://console.cloud.google.com/flows/enableapi?apiid=aiplatform.googleapis.com).\n", "\n", "4. If you are running this notebook locally, you need to install the [Cloud SDK](https://cloud.google.com/sdk)." ] @@ -201,7 +201,7 @@ "source": [ "#### Region\n", "\n", - "You can also change the `REGION` variable used by Vertex AI. Learn more about [Vertex AI regions](https://cloud.google.com/vertex-ai/docs/general/locations)." + "You can also change the `REGION` variable used by Agent Platform. Learn more about [Agent Platform regions](https://docs.cloud.google.com/gemini-enterprise-agent-platform/machine-learning/general/locations)." ] }, { @@ -274,9 +274,9 @@ "id": "init_aip:mbsdk,all" }, "source": [ - "### Initialize Vertex AI SDK for Python\n", + "### Initialize Agent Platform SDK for Python\n", "\n", - "Initialize the Vertex AI SDK for Python for your project." + "Initialize the Agent Platform SDK for Python for your project." ] }, { @@ -387,13 +387,13 @@ "source": [ "## Create Feature Store and define schemas\n", "\n", - "Vertex AI Feature Store organizes resources hierarchically in the following order:\n", + "Agent Platform Feature Store organizes resources hierarchically in the following order:\n", "\n", "`Featurestore -> EntityType -> Feature`\n", "\n", - "You must create these resources before you can ingest data into Vertex AI Feature Store.\n", + "You must create these resources before you can ingest data into Agent Platform Feature Store.\n", "\n", - "Learn more about [Vertex AI Feature Store](https://cloud.google.com/vertex-ai/docs/featurestore)" + "Learn more about [Agent Platform Feature Store](https://cloud.google.com/vertex-ai/docs/featurestore)" ] }, { @@ -589,7 +589,7 @@ "\n", "* `instances`: Feature values to be written to the Feature Store that can take the form of a list of WriteFeatureValuesPayload objects, a Python dict, or a pandas Dataframe.\n", "\n", - "This streaming ingestion feature has been introduced to the Vertex AI SDK under the **preview** namespace. Here, you pass the pandas `Dataframe` you created from penguins dataset as `instances` parameter.\n", + "This streaming ingestion feature has been introduced to the Agent Platform SDK under the **preview** namespace. Here, you pass the pandas `Dataframe` you created from penguins dataset as `instances` parameter.\n", "\n", "Learn more about [Streaming ingestion API](https://github.com/googleapis/python-aiplatform/blob/e6933503d2d3a0f8a8f7ef8c178ed50a69ac2268/google/cloud/aiplatform/preview/featurestore/entity_type.py#L36)" ] @@ -632,7 +632,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Note: The newly created feature store will be only be visible in the Console when \"Vertex AI Feature Store (Legacy)\" is selected from the top right menu. " + "Note: The newly created feature store will be only be visible in the Console when \"Agent Platform Feature Store (Legacy)\" is selected from the top right menu. " ] }, {