diff --git a/building-blocks/blocks/oml/oml-automl/oml-automl.md b/building-blocks/blocks/oml/oml-automl/oml-automl.md
index 7af13ad0..f1a634ad 100644
--- a/building-blocks/blocks/oml/oml-automl/oml-automl.md
+++ b/building-blocks/blocks/oml/oml-automl/oml-automl.md
@@ -32,7 +32,7 @@ This lab assumes you have:
 
 ## Task 1: Access Oracle Machine Learning AutoML UI
 
-To access AutoML UI, you must sign into the Oracle Machine Learning User Interface, which also includes Oracle Machine Learning notebooks, on Autonomous Database:
+To access AutoML UI, you must sign into the Oracle Machine Learning User Interface, which also includes Oracle Machine Learning notebooks, on Autonomous AI Database:
 
 1. Sign into Oracle Machine Learning user interface (following Lab1, Task 1 instructions).
 
@@ -93,7 +93,7 @@ To create an Experiment:
 	*  **High** level gives the greatest parallelism but significantly limits the number of concurrent jobs.
 	*  **Medium** level enables some parallelism but allows greater concurrency for job processing.
 
-	> **Note:** Changing the database service level setting on the Always Free Tier will have no effect since there is a 1 OCPU limit. However, if you increase the OCPUs allocated to your autonomous database, then you can increase the Database Service Level to Medium or High.
+	> **Note:** Changing the database service level setting on the Always Free Tier will have no effect since there is a 1 OCPU limit. However, if you increase the OCPUs allocated to your Autonomous AI Database, then you can increase the Database Service Level to Medium or High.
 
 13. Leave the default algorithms selected. 
 
@@ -331,6 +331,6 @@ You may now **proceed to the next lab**.
 
 ## Acknowledgements
 
-* **Author** - Moitreyee Hazarika, Principal User Assistance Developer, Database User Assistance Development
+* **Author** - Moitreyee Hazarika, Consulting User Assistance Developer, Database User Assistance Development
 * **Contributors** -  Mark Hornick, Senior Director, Data Science and Machine Learning; Marcos Arancibia, Senior Principal Product Manager, Machine Learning; Sherry LaMonica, Consulting Member of Tech Staff, Machine Learning
-* **Last Updated By/Date** - Moitreyee Hazarika, June 2025
+* **Last Updated By/Date** - Moitreyee Hazarika, October 2025
diff --git a/building-blocks/blocks/oml/oml-conda/oml-conda.md b/building-blocks/blocks/oml/oml-conda/oml-conda.md
index e816a465..e9e6ac60 100644
--- a/building-blocks/blocks/oml/oml-conda/oml-conda.md
+++ b/building-blocks/blocks/oml/oml-conda/oml-conda.md
@@ -159,12 +159,12 @@ To create a Conda environment named _myrenv_ with R-4.0.5 for OML4R compatibilit
 	![Command to view the R conda environment](images/view-myrenv.png)
 	Note that the _myrenv_ environment is now listed along with the _mypyenv_ in the output. Note that the asterisk (*) is against the _mypyenv_, indicating that this environment is active currently.
 
-## Task 3: Upload the Conda environments to an Object Storage bucket associated with the Autonomous Database
-In this task, you will upload the environments _mypyenv_ and _myrenv_ to the Object Storage bucket associated with the Autonomous Database instance using the `upload` command. You will provide environment descriptions and tags, one for the user name and one for the application name. You will also overwrite any environment with the same name if it exists.
+## Task 3: Upload the Conda environments to an Object Storage bucket associated with the Autonomous AI Database
+In this task, you will upload the environments _mypyenv_ and _myrenv_ to the Object Storage bucket associated with the Autonomous AI Database instance using the `upload` command. You will provide environment descriptions and tags, one for the user name and one for the application name. You will also overwrite any environment with the same name if it exists.
 
 The application tag is required for use with embedded execution. For example, OML4Py embedded Python execution works with Conda environments containing the OML4PY tag.
 
->*Note:* There is one Object Storage bucket for each data center region. The Conda environment is saved to a folder in Object Storage corresponding to the tenancy and database. The folder is managed by Autonomous Database and is only available to users through OML Notebooks. There is an 8G maximum size for a single Conda environment, and no size limit on Object Storage.
+>*Note:* There is one Object Storage bucket for each data center region. The Conda environment is saved to a folder in Object Storage corresponding to the tenancy and database. The folder is managed by Autonomous AI Database and is only available to users through OML Notebooks. There is an 8G maximum size for a single Conda environment, and no size limit on Object Storage.
 
 
 1. Run the following command to upload the mypyenv to the Object Storage bucket associated with the ADB.
@@ -353,6 +353,6 @@ The steps in task 5 must be performed as the non-ADMIN OML user with the `OML_DE
 
 ## Acknowledgements
 
-* **Author** -  Moitreyee Hazarika, Principal User Assistance Developer, Database User Assistance Development
+* **Author** -  Moitreyee Hazarika, Consulting User Assistance Developer, Database User Assistance Development
 * **Contributors** -   Mark Hornick, Senior Director, Data Science and Machine Learning; Marcos Arancibia Coddou, Product Manager, Oracle Data Science; Sherry LaMonica, Consulting Member of Tech Staff, Machine Learning
-* **Last Updated By/Date** - Moitreyee Hazarika, June 2025
+* **Last Updated By/Date** - Moitreyee Hazarika, October 2025
diff --git a/building-blocks/blocks/oml/oml-monitoring/oml-monitoring.md b/building-blocks/blocks/oml/oml-monitoring/oml-monitoring.md
index 53568929..1a171f39 100644
--- a/building-blocks/blocks/oml/oml-monitoring/oml-monitoring.md
+++ b/building-blocks/blocks/oml/oml-monitoring/oml-monitoring.md
@@ -170,10 +170,10 @@ To create a data monitor:
 16. Click **Additional Settings** to expand this section and provide advanced settings for your data monitor:
     ![Data monitor - additional settings](images/dm-add-settings.png)
     * **Drift Threshold:** Drift captures the relative change in performance between the baseline data and the new data period. Based on your specific machine learning problem, set the threshold value for your data drift detection. This may require adjusting after you see how your specific data behaves. The default is 0.7. 
-    * **Database Service Level:** This is the Autonomous Database service levels - Low, Medium, High. The default is Low. Service level Medium provides more resources to the data monitor run compared to Low. Service level High provides more resources to the data monitor run compared to Medium.
+    * **Database Service Level:** This is the Autonomous AI Database service levels - Low, Medium, High. The default is Low. Service level Medium provides more resources to the data monitor run compared to Low. Service level High provides more resources to the data monitor run compared to Medium.
     * **Analysis Filter:** Enable this option if you want the data monitoring analysis for a specific time period. Move the slider to the right to enable it, and then select a date in From Date and To Date fields respectively. By default, this field is disabled.
     * **Maximum Number of Runs:** This is the maximum number of times the data monitor can be run according to this schedule. The default is 3. 
-17. The **Features** grid displays the list of features to monitor. Here, you can select or deselect features to include or exclude from monitoring. By default, all features are selected. Feature statistics are provided if the selected data is a table and has RDBMS statistics automatically gathered by Autonomous Database. Oracle Machine Learning Services calculates the statistics on the first run for both, tables and views, and the computations are displayed here after the first run. The statistics are updated by subsequent runs.
+17. The **Features** grid displays the list of features to monitor. Here, you can select or deselect features to include or exclude from monitoring. By default, all features are selected. Feature statistics are provided if the selected data is a table and has RDBMS statistics automatically gathered by Autonomous AI Database. Oracle Machine Learning Services calculates the statistics on the first run for both, tables and views, and the computations are displayed here after the first run. The statistics are updated by subsequent runs.
 ![Data monitor - Features](images/dm-features-grid.png)
 18.Now scroll up to the page and on the top right corner, click **Save.** This completes the task of creating a data monitor and takes you to the Data Monitors page. 
 
@@ -479,8 +479,8 @@ You may now **proceed to the next lab.**
 
 ## Acknowledgements
 
-* **Author** : Moitreyee Hazarika, Principal User Assistance Developer, Database User Assistance Development
+* **Author** : Moitreyee Hazarika, Consulting User Assistance Developer, Database User Assistance Development
 
 * **Contributors:** Mark Hornick, Sr. Director, Data Science / Machine Learning PM; Marcos Arancibia Coddou, Product Manager, Oracle Data Science; Sherry LaMonica, Consulting Member of Tech Staff, Machine Learning
 
-* **Last Updated By/Date**: Moitreyee Hazarika, June 2025
+* **Last Updated By/Date**: Moitreyee Hazarika, October 2025
diff --git a/building-blocks/blocks/oml/oml-nb-visualizations/oml-nb-visualizations.md b/building-blocks/blocks/oml/oml-nb-visualizations/oml-nb-visualizations.md
index 1328228d..4a997826 100644
--- a/building-blocks/blocks/oml/oml-nb-visualizations/oml-nb-visualizations.md
+++ b/building-blocks/blocks/oml/oml-nb-visualizations/oml-nb-visualizations.md
@@ -464,6 +464,6 @@ A box plot provides an overview of data distributions in numeric data. It provid
 
 ## Acknowledgements
 
-* **Author** -  Moitreyee Hazarika, Principal User Assistance Developer, Database User Assistance Development
+* **Author** -  Moitreyee Hazarika, Consulting User Assistance Developer, Database User Assistance Development
 * **Contributors** -   Mark Hornick, Senior Director, Data Science and Machine Learning; Marcos Arancibia Coddou, Product Manager, Oracle Data Science; Sherry LaMonica, Consulting Member of Tech Staff, Machine Learning
-* **Last Updated By/Date** - Moitreyee Hazarika, June 2025
+* **Last Updated By/Date** - Moitreyee Hazarika, October 2025
diff --git a/building-blocks/blocks/oml/oml-notebooks-ea/oml-notebooks-ea.md b/building-blocks/blocks/oml/oml-notebooks-ea/oml-notebooks-ea.md
index 4455bb15..d6721468 100644
--- a/building-blocks/blocks/oml/oml-notebooks-ea/oml-notebooks-ea.md
+++ b/building-blocks/blocks/oml/oml-notebooks-ea/oml-notebooks-ea.md
@@ -41,7 +41,7 @@ This lab assumes you have:
 
 <if type="freetier">
 
-You can access Oracle Machine Learning User Interface from Autonomous Database. Oracle Machine Learning User Interface provides you the following functionalities: 
+You can access Oracle Machine Learning User Interface from Autonomous AI Database. Oracle Machine Learning User Interface provides you the following functionalities: 
 
 * Notebooks - A web-based interface for data analysis, data discovery, data visualization, and collaboration
 * AutoML UI - An interface for no-code automated machine learning modeling and model deployment
@@ -51,7 +51,7 @@ You can access Oracle Machine Learning User Interface from Autonomous Database.
 * Jobs - An interface to create jobs to schedule your notebooks
 
 
-Sign in to Oracle Machine Learning User Interface. Follow the steps in *Task 3 Sign into Oracle Machine Learning User Interface* in the lab _Provision an Autonomous Database with OMLUSERS_ 
+Sign in to Oracle Machine Learning User Interface. Follow the steps in *Task 3 Sign into Oracle Machine Learning User Interface* in the lab _Provision an Autonomous AI Database with OMLUSERS_ 
 
 </if>
 
@@ -251,7 +251,7 @@ Let’s create another paragraph to call the Python interpreter and run Python s
 
 This completes the task of connecting to the Python interpreter and running Python commands in your notebook.
 ### Task 3.5: Use the R Interpreter and run R Statements
-Oracle Machine Learning for R (OML4R) makes the open source R scripting language and environment ready for the enterprise and big data. OML4R integrates R with Oracle Autonomous Database. It allows you to run R commands and scripts for statistical, machine learning, and visualization analyses on database tables and views using R syntax.
+Oracle Machine Learning for R (OML4R) makes the open source R scripting language and environment ready for the enterprise and big data. OML4R integrates R with Oracle Autonomous AI Database. It allows you to run R commands and scripts for statistical, machine learning, and visualization analyses on database tables and views using R syntax.
 
 In this task, you will use the R interpreter and run R statements:
 
@@ -528,6 +528,6 @@ You may now **proceed to the next lab**.
 
 ## Acknowledgements
 
-* **Author** -  Moitreyee Hazarika, Principal User Assistance Developer, Database User Assistance Development
+* **Author** -  Moitreyee Hazarika, Consulting User Assistance Developer, Database User Assistance Development
 * **Contributors** -   Mark Hornick, Senior Director, Data Science and Machine Learning; Marcos Arancibia Coddou, Product Manager, Oracle Data Science; Sherry LaMonica, Consulting Member of Tech Staff, Machine Learning
-* **Last Updated By/Date** - Moitreyee Hazarika, June 2025
+* **Last Updated By/Date** - Moitreyee Hazarika, October 2025
diff --git a/building-blocks/tasks/oml/access-notebook-ea.md b/building-blocks/tasks/oml/access-notebook-ea.md
index b00cc99b..1827e79e 100644
--- a/building-blocks/tasks/oml/access-notebook-ea.md
+++ b/building-blocks/tasks/oml/access-notebook-ea.md
@@ -5,7 +5,7 @@
     }
 -->
 
-A notebook is a web-based interface for data analysis, data discovery, data visualization, and collaboration. You create and run notebooks in Oracle Machine Learning user interface. You can access Oracle Machine Learning user interface from Autonomous Database.
+A notebook is a web-based interface for data analysis, data discovery, data visualization, and collaboration. You create and run notebooks in Oracle Machine Learning user interface. You can access Oracle Machine Learning user interface from Autonomous AI Database.
 
 1. On your Oracle ADW instance, click **Database Actions**.
 
diff --git a/building-blocks/tasks/oml/create-oml-user.md b/building-blocks/tasks/oml/create-oml-user.md
index aaa3de13..f6a011be 100644
--- a/building-blocks/tasks/oml/create-oml-user.md
+++ b/building-blocks/tasks/oml/create-oml-user.md
@@ -11,15 +11,15 @@ An administrator creates a new user account and user credentials for Oracle Mach
 
 To create a user account:
 
-1. If you are not already signed in, sign into your OCI account, click the cloud menu on the left to open the left navigation pane, and click **Oracle Database**. On the right, click **Autonomous Database**.
+1. If you are not already signed in, sign into your OCI account, click the cloud menu on the left to open the left navigation pane, and click **Oracle Database**. On the right, click **Autonomous AI Database**.
 
-	![Autonomous Database under Oracle Database](images/database-adw-rw.png " ")
+	![Autonomous AI Database under Oracle Database](images/database-adw-rw.png " ")
 
-2. The Autonomous Databases dashboard lists all the databases that are provisioned in the tenancy. Click the Oracle Autonomous Database that you have provisioned for this workshop. Here, click the instance **OMLLABS**.
+2. The Autonomous AI Databases dashboard lists all the databases that are provisioned in the tenancy. Click the Oracle Autonomous AI Database that you have provisioned for this workshop. Here, click the instance **OMLLABS**.
 
 	![Oracle Autonomous Data Warehouse](images/adw-omllabs-listed-rw.png " ")
 
-3. On the Autonomous Database details page, click **Database Actions**, and then select the **Database Users** option.
+3. On the Autonomous AI Database details page, click **Database Actions**, and then select the **Database Users** option.
 
 	![Database Actions button in ADB Console](images/database-actions-dbusers-rw.png " ")
 
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diff --git a/building-blocks/tasks/oml/notebook-features.md b/building-blocks/tasks/oml/notebook-features.md
index b00cc99b..1827e79e 100644
--- a/building-blocks/tasks/oml/notebook-features.md
+++ b/building-blocks/tasks/oml/notebook-features.md
@@ -5,7 +5,7 @@
     }
 -->
 
-A notebook is a web-based interface for data analysis, data discovery, data visualization, and collaboration. You create and run notebooks in Oracle Machine Learning user interface. You can access Oracle Machine Learning user interface from Autonomous Database.
+A notebook is a web-based interface for data analysis, data discovery, data visualization, and collaboration. You create and run notebooks in Oracle Machine Learning user interface. You can access Oracle Machine Learning user interface from Autonomous AI Database.
 
 1. On your Oracle ADW instance, click **Database Actions**.
 
diff --git a/building-blocks/tasks/oml/prov-an-adb.md b/building-blocks/tasks/oml/prov-an-adb.md
index b7d0212d..e2b42315 100644
--- a/building-blocks/tasks/oml/prov-an-adb.md
+++ b/building-blocks/tasks/oml/prov-an-adb.md
@@ -5,52 +5,52 @@
     }
 -->
 
-To provision an Oracle Autonomous Database:
+To provision an Oracle Autonomous AI Database:
 
-1. Sign into your OCI account, and under the Build section, click **Create an ADW database**.
+1. Sign into your OCI account, and under the Build section, click **Create an LH database**.
 
-	![Create ADW Database](images/adw-database-rw.png " ")
+	![Create ADW Database](images/adw-database-lh.png " ")
 
-	 Alternatively, you may click the Cloud menu icon on the upper left corner. This opens the left nagivation menu. Click **Oracle Database** and then click **Autonomous Database**.
+	 Alternatively, you may click the Cloud menu icon on the upper left corner. This opens the left navigation menu. Click **Oracle AI Database** and then click **Autonomous AI Database**.
 
-	![Autonomous Database under Oracle Database](images/database-adw-rw.png " ")
+	![Autonomous AI Database under Oracle Database](images/database-adw-rw.png " ")
 
-2. On the Autonomous Databases page, click **Compartment** to select a compartment. By default, it will show the root compartment. Click **Create Autonomous Database**. This opens the _Create Autonomous Database Serverless_ page.
+2. On the Autonomous AI Databases page, click **Compartment** to select a compartment. By default, it will show the root compartment. Click **Create Autonomous AI Database**. This opens the _Create Autonomous AI Database Serverless_ page.
 
-   ![Create Autonomous Database option](images/create-autonomous-db-rw.png " ")
+   ![Create Autonomous AI Database option](images/create-autonomous-db-rw.png " ")
 
-    > **Note:** You must select your **OCI Home Region** if you intend to create an Always-Free Autonomous Database.
+    > **Note:** You must select your **OCI Home Region** if you intend to create an Always-Free Autonomous AI Database.
 
-     ![Create Autonomous Database option](images/create-adb-home-region-rw.png " ")
+     ![Create Autonomous AI Database option](images/create-adb-home-region-rw.png " ")
 
 
-3. On the *Create Autonomous Database Serverless* page, provide the basic information about the database. By default, a database name and a display name for the database are provided. You can modify these names to enter a user-friendly display name for the ADB instance to easily identify the resource. The display name does not have to be unique.    
+3. On the *Create Autonomous AI Database Serverless* page, provide the basic information about the database. By default, a database name and a display name for the database are provided. You can modify these names to enter a user-friendly display name for the ADB instance to easily identify the resource. The display name does not have to be unique.    
 
    > **Note:** We will choose the Display Name *OMLLABS* and the Database Name *OMLLABS* for our example.  You can use the same or create your own, but neither supports blank spaces in the name
 
-   ![Autonomous Database information](images/adb-basic-info-rw.png " ")
+   ![Autonomous AI Database information](images/adb-basic-info-rw.png " ")
 
-4. For Workload Type, select **Data Warehouse**.
+4. For Workload Type, select **Lakehouse**.
 
-   ![Autonomous Database Workload type](images/workload-type-rw.png " ")
+   ![Autonomous AI Database Workload type](images/workload-type-rw.png " ")
 
 5. For Database Configuration, select **Always Free**. 
 
-    * For the Always Free option, both releases 19c and 23ai are available.  Let’s use the default **23ai**.  You can create **Always Free** resources both in Free Tier and Paid accounts, with the requirement of it being created in your **OCI Home Region** as mentioned above in Task 2.
+    * For the Always Free option, both releases 19c and 26ai are available.  Let’s use the default **26ai**.  You can create **Always Free** resources both in Free Tier and Paid accounts, with the requirement of it being created in your **OCI Home Region** as mentioned above in Task 2.
 
-        ![Autonomous Database always free](images/db-config-always-free-rw.png " ")
+        ![Autonomous AI Database always free](images/db-config-always-free-rw.png " ")
    
     * If you are using a standard **Paid Account** and decide to provision a **paid database** instead of an **Always Free**, you will see more options available that include ECPU count, Compute auto scaling and Storage auto scaling. For this workshop **the minimum compute unit of 2 ECPUs with auto scaling is sufficient**.  If you decide to use a **Developer Database** option, it already has the configuration necessary for this workshop.
 
-        > ![Configure Database](images/db-configuration-ecpu-rw.png " ")
+        > ![Configure Database](images/db-configuration-ecpu-26ai.png " ")
 
-	    > You will also be offered an **Immutable Backup Retention** plan billed separately. This option is not available in the Always Free Autonomous Database. We will not be using backups in this workshop, so you can easily put it to a minimum of 1 day without issues.
+	    > You will also be offered an **Immutable Backup Retention** plan billed separately. This option is not available in the Always Free Autonomous AI Database. We will not be using backups in this workshop, so you can easily put it to a minimum of 1 day without issues.
 
         > ![Configure Database](images/db-configuration-backup-rw.png " ")
 
         The Advanced options - **Compute Model** and **Bring your own license** are available only for a paid version.
 
-6. Create your Autonomous Database administrator credentials by providing a password. You will need these credentials to sign into this Autonomous Database instance.   
+6. Create your Autonomous AI Database administrator credentials by providing a password. You will need these credentials to sign into this Autonomous AI Database instance.   
 
 	> **Note:** The default administrator username is ADMIN. The ADMIN password must be 12 to 30 characters and contain at least one uppercase letter, one lowercase letter, and one number. The password cannot contain the double quote (") character or the username "admin".
 
@@ -64,14 +64,18 @@ To provision an Oracle Autonomous Database:
 
 	 ![Contact details](images/contact-details-rw.png " ")
 
-9. Under **Advanced Options**, let's retain the default for this workshop. 
+9.  Under **Advanced Options**, let's retain the default for this workshop.
 
-10. Click **Create**.  The Oracle Autonomous Database instance starts provisioning. It will show the status **Provisioning**. .
+10. Click **Create**.  
+
+    ![ADB Create](images/adw-create.png " ")
+
+    The Oracle Autonomous AI Database instance starts provisioning. It will show the status **Provisioning**. .
     ![ADB listed](images/adw-starts-provisioning-rw.png " ")
 
     Once the provisioning is complete, the database details are listed with the status Available.
 
 	  ![ADB details](images/adw-details-rw.png " ")
 
-This completes the task of provisioning an Oracle Autonomous Database.
+This completes the task of provisioning an Oracle Autonomous AI Database.
 
diff --git a/building-blocks/tasks/oml/sign-into-oml-livelabs.md b/building-blocks/tasks/oml/sign-into-oml-livelabs.md
index 2b61f199..39ea7757 100644
--- a/building-blocks/tasks/oml/sign-into-oml-livelabs.md
+++ b/building-blocks/tasks/oml/sign-into-oml-livelabs.md
@@ -5,7 +5,7 @@
     }
 -->
 
-You can access Oracle Machine Learning User Interface from Autonomous Database. Oracle Machine Learning User Interface provides you the following functionalities: 
+You can access Oracle Machine Learning User Interface from Autonomous AI Database. Oracle Machine Learning User Interface provides you the following functionalities: 
 
 * Notebooks - A web-based interface for data analysis, data discovery, data visualization, and collaboration
 * AutoML UI - An interface for no-code automated machine learning modeling and model deployment
diff --git a/building-blocks/tasks/oml/sign-into-oml.md b/building-blocks/tasks/oml/sign-into-oml.md
index be1c2e5d..3b529da4 100644
--- a/building-blocks/tasks/oml/sign-into-oml.md
+++ b/building-blocks/tasks/oml/sign-into-oml.md
@@ -5,7 +5,7 @@
     }
 -->
 
-You can access Oracle Machine Learning User Interface from Autonomous Database. Oracle Machine Learning User Interface provides you the following functionalities: 
+You can access Oracle Machine Learning User Interface from Autonomous AI Database. Oracle Machine Learning User Interface provides you the following functionalities: 
 
 * Notebooks - A web-based interface for data analysis, data discovery, data visualization, and collaboration
 * AutoML UI - An interface for no-code automated machine learning modeling and model deployment
@@ -16,7 +16,7 @@ You can access Oracle Machine Learning User Interface from Autonomous Database.
 
 To access Oracle Machine Learning User Interface:
 
-1. On your Oracle Autonomous Database console, click **Database actions**, and then select the option **View all database actions**.
+1. On your Oracle Autonomous AI Database console, click **Database actions**, and then select the option **View all database actions**.
 
 	![Database Actions in ADW](images/dbactions-view-all-dbusers-rw.png)
 
@@ -42,7 +42,7 @@ To access Oracle Machine Learning User Interface:
 
 To access the URL for the Oracle Machine Learning sign in page directly from the ADB Console **Tool configuration** tab:
 
-1. Go to your Autonomous Database details page and click **Tool configuration**. 
+1. Go to your Autonomous AI Database details page and click **Tool configuration**. 
 
 	![ADB console Tool configuration tab](images/adb-console-tool.png)
 
diff --git a/building-blocks/tasks/oml/use-md-interpreter.md b/building-blocks/tasks/oml/use-md-interpreter.md
index b00cc99b..1827e79e 100644
--- a/building-blocks/tasks/oml/use-md-interpreter.md
+++ b/building-blocks/tasks/oml/use-md-interpreter.md
@@ -5,7 +5,7 @@
     }
 -->
 
-A notebook is a web-based interface for data analysis, data discovery, data visualization, and collaboration. You create and run notebooks in Oracle Machine Learning user interface. You can access Oracle Machine Learning user interface from Autonomous Database.
+A notebook is a web-based interface for data analysis, data discovery, data visualization, and collaboration. You create and run notebooks in Oracle Machine Learning user interface. You can access Oracle Machine Learning user interface from Autonomous AI Database.
 
 1. On your Oracle ADW instance, click **Database Actions**.
 
diff --git a/building-blocks/tasks/oml/use-plsql-interpreter.md b/building-blocks/tasks/oml/use-plsql-interpreter.md
index b00cc99b..1827e79e 100644
--- a/building-blocks/tasks/oml/use-plsql-interpreter.md
+++ b/building-blocks/tasks/oml/use-plsql-interpreter.md
@@ -5,7 +5,7 @@
     }
 -->
 
-A notebook is a web-based interface for data analysis, data discovery, data visualization, and collaboration. You create and run notebooks in Oracle Machine Learning user interface. You can access Oracle Machine Learning user interface from Autonomous Database.
+A notebook is a web-based interface for data analysis, data discovery, data visualization, and collaboration. You create and run notebooks in Oracle Machine Learning user interface. You can access Oracle Machine Learning user interface from Autonomous AI Database.
 
 1. On your Oracle ADW instance, click **Database Actions**.
 
diff --git a/building-blocks/tasks/oml/use-py-interpreter.md b/building-blocks/tasks/oml/use-py-interpreter.md
index b00cc99b..1827e79e 100644
--- a/building-blocks/tasks/oml/use-py-interpreter.md
+++ b/building-blocks/tasks/oml/use-py-interpreter.md
@@ -5,7 +5,7 @@
     }
 -->
 
-A notebook is a web-based interface for data analysis, data discovery, data visualization, and collaboration. You create and run notebooks in Oracle Machine Learning user interface. You can access Oracle Machine Learning user interface from Autonomous Database.
+A notebook is a web-based interface for data analysis, data discovery, data visualization, and collaboration. You create and run notebooks in Oracle Machine Learning user interface. You can access Oracle Machine Learning user interface from Autonomous AI Database.
 
 1. On your Oracle ADW instance, click **Database Actions**.
 
diff --git a/building-blocks/tasks/oml/use-r-interpreter.md b/building-blocks/tasks/oml/use-r-interpreter.md
index b00cc99b..1827e79e 100644
--- a/building-blocks/tasks/oml/use-r-interpreter.md
+++ b/building-blocks/tasks/oml/use-r-interpreter.md
@@ -5,7 +5,7 @@
     }
 -->
 
-A notebook is a web-based interface for data analysis, data discovery, data visualization, and collaboration. You create and run notebooks in Oracle Machine Learning user interface. You can access Oracle Machine Learning user interface from Autonomous Database.
+A notebook is a web-based interface for data analysis, data discovery, data visualization, and collaboration. You create and run notebooks in Oracle Machine Learning user interface. You can access Oracle Machine Learning user interface from Autonomous AI Database.
 
 1. On your Oracle ADW instance, click **Database Actions**.
 
diff --git a/building-blocks/tasks/oml/use-sql-interpreter.md b/building-blocks/tasks/oml/use-sql-interpreter.md
index b00cc99b..1827e79e 100644
--- a/building-blocks/tasks/oml/use-sql-interpreter.md
+++ b/building-blocks/tasks/oml/use-sql-interpreter.md
@@ -5,7 +5,7 @@
     }
 -->
 
-A notebook is a web-based interface for data analysis, data discovery, data visualization, and collaboration. You create and run notebooks in Oracle Machine Learning user interface. You can access Oracle Machine Learning user interface from Autonomous Database.
+A notebook is a web-based interface for data analysis, data discovery, data visualization, and collaboration. You create and run notebooks in Oracle Machine Learning user interface. You can access Oracle Machine Learning user interface from Autonomous AI Database.
 
 1. On your Oracle ADW instance, click **Database Actions**.