Update README.md

README.md

@@ -40,14 +40,17 @@ These insights are used to serve as a basis to optimize paid media efforts and i
 | Customer Lifetime Value | Google Analytics 4 | Vertex AI Tabular Wokflows AutoML | Customer Lifetime Value | [maj_cltv_180_30](https://github.com/GoogleCloudPlatform/marketing-analytics-jumpstart/blob/main/templates/activation_type_configuration_template.tpl#L23) | [Custom Data Segments](https://support.google.com/google-ads/answer/2497941?sjid=12303667953034547771-NC#zippy=%2Cyour-data-segments-formerly-known-as-remarketing) |
 | Purchase Propensity | Google Analytics 4 | Vertex AI Tabular Wokflows AutoML | Propensity to Purchase | [maj_purchase_propensity_30_15](https://github.com/GoogleCloudPlatform/marketing-analytics-jumpstart/blob/main/templates/activation_type_configuration_template.tpl#L28) | [Custom Data Segments](https://support.google.com/google-ads/answer/2497941?sjid=12303667953034547771-NC#zippy=%2Cyour-data-segments-formerly-known-as-remarketing) |
 | Churn Propensity | Google Analytics 4 | Vertex AI Tabular Wokflows AutoML | Propensity to Churn | [maj_churn_propensity_30_15](https://github.com/GoogleCloudPlatform/marketing-analytics-jumpstart/blob/main/templates/activation_type_configuration_template.tpl#L43) | [Custom Data Segments](https://support.google.com/google-ads/answer/2497941?sjid=12303667953034547771-NC#zippy=%2Cyour-data-segments-formerly-known-as-remarketing) |
-| Aggregated Value Based Bidding | Google Analytics 4 | Vertex AI Tabular Wokflows AutoML | High Value Action | - | [Static Conversion Values](https://support.google.com/google-ads/answer/13064107?sjid=13060303839552593837-NA#zippy=%2Cset-a-conversion-value%2Cchange-a-conversion-value) <br><br> [Bid Adjustment](https://support.google.com/google-ads/answer/7068417?hl=en#zippy=%2Ctips-for-setting-up-data-segments-for-search-ads%2Csetting-bids-tailoring-ads-and-copying-campaigns) |
+| Aggregated Value Based Bidding | Google Analytics 4 | Vertex AI Tabular Wokflows AutoML | High Value Action | - | [Static Conversion Values](https://support.google.com/google-ads/answer/13064107?sjid=13060303839552593837-NA#zippy=%2Cset-a-conversion-value%2Cchange-a-conversion-value) <br><br> [Bid Adjustment[1](https://support.google.com/google-ads/answer/7068417?hl=en#zippy=%2Ctips-for-setting-up-data-segments-for-search-ads%2Csetting-bids-tailoring-ads-and-copying-campaigns) [2](https://support.google.com/google-ads/answer/2732132?sjid=8368074830549837931-NA#zippy=%2Cremarketing-lists-for-search-ads-advanced) |
 
 ## Repository Structure
 The solution's source code is written in Terraform, Python, SQL, YAML and JSON; and it is organized into five main folders:
 * `config/`: This folder contains the configuration file for the solution. This file define the parameters and settings used by the various components of the solution.
+* `docs/`: This folder contains the detailed architecture, design principles, deployment, basic operation and troubleshooting guides for all the solution components
 * `infrastructure/terraform/`: This folder contains the Terraform modules, variables and the installation guide to deploy the solution's infrastructure on GCP.
     * `infrastructure/terraform/modules/`: This folder contains the Terraform modules and their corresponding Terraform resources. These modules corresponds to the architectural components broken down in the next section.
+* `notebooks/`: Contains python notebooks to be used in Workshop sessions.
 * `python/`: This folder contains most of the Python code. This code implements the activation application, which sends model predictions to Google Analytics 4; and the custom Vertex AI pipelines, its components and the base component docker image used for feature engineering, training, prediction, and explanation pipelines. It also implements the cloud function that triggers the activation application, and the Google Analytics Admin SDK code that creates the custom dimensions on the GA4 property.
+* `scripts/`: Miscelaneous scripts to support installation and operation of the solution.
 * `sql/`: This folder contains the SQL code and table schemas specified in JSON files. This code implements the stored procedures used to transform and enrich the marketing data, as well as the queries used to invoke the stored procedures and retrieve the data for analysis.
 * `templates/`: This folder contains the templates for generating the Google Analytics 4 Measurement Protocol API payloads used to send model predictions to Google Analytics 4.