Update with fixes.

Sherry Yang · Sherry Yang · commit 63589f6f9d51 · 2025-05-28T17:49:05.000-07:00
diff --git a/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/1-introduction.yml b/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/1-introduction.yml
@@ -1,18 +1,18 @@
-### YamlMime:ModuleUnit
-uid: learn.wwl.design-machine-learning-model-training-solution.introduction
-title: Introduction
-metadata:
-  title: Introduction
-  description: Introduction
-  author: wwlpublish
-  ms.author: madiepev
-  ms.date: 01/20/2025
-  ms.topic: unit
-  ms.collection:
-    - wwl-ai-copilot
-azureSandbox: false
-labModal: false
-durationInMinutes: 3
-content: |
-  [!include[](includes/1-introduction.md)]
-
+### YamlMime:ModuleUnit
+uid: learn.wwl.design-machine-learning-model-training-solution.introduction
+title: Introduction
+metadata:
+  title: Introduction
+  description: Introduction
+  author: wwlpublish
+  ms.author: madiepev
+  ms.date: 05/28/2025
+  ms.topic: unit
+  ms.collection:
+    - wwl-ai-copilot
+azureSandbox: false
+labModal: false
+durationInMinutes: 3
+content: |
+  [!include[](includes/1-introduction.md)]
+
diff --git a/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/2-identify-tasks.yml b/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/2-identify-tasks.yml
@@ -1,18 +1,18 @@
-### YamlMime:ModuleUnit
-uid: learn.wwl.design-machine-learning-model-training-solution.identify-tasks
-title: Define the problem
-metadata:
-  title: Define the problem
-  description: Define the problem
-  author: wwlpublish
-  ms.author: madiepev
-  ms.date: 01/20/2025
-  ms.topic: unit
-  ms.collection:
-    - wwl-ai-copilot
-azureSandbox: false
-labModal: false
-durationInMinutes: 4
-content: |
-  [!include[](includes/2-identify-tasks.md)]
-
+### YamlMime:ModuleUnit
+uid: learn.wwl.design-machine-learning-model-training-solution.identify-tasks
+title: Define the problem
+metadata:
+  title: Define the problem
+  description: Define the problem
+  author: wwlpublish
+  ms.author: madiepev
+  ms.date: 05/28/2025
+  ms.topic: unit
+  ms.collection:
+    - wwl-ai-copilot
+azureSandbox: false
+labModal: false
+durationInMinutes: 4
+content: |
+  [!include[](includes/2-identify-tasks.md)]
+
diff --git a/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/2a-prepare-data.yml b/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/2a-prepare-data.yml
@@ -1,18 +1,18 @@
-### YamlMime:ModuleUnit
-uid: learn.wwl.design-machine-learning-model-training-solution.prepare-data
-title: Get and prepare data
-metadata:
-  title: Get and prepare data
-  description: Get and prepare data
-  author: wwlpublish
-  ms.author: madiepev
-  ms.date: 01/20/2025
-  ms.topic: unit
-  ms.collection:
-    - wwl-ai-copilot
-azureSandbox: false
-labModal: false
-durationInMinutes: 5
-content: |
-  [!include[](includes/2a-prepare-data.md)]
-
+### YamlMime:ModuleUnit
+uid: learn.wwl.design-machine-learning-model-training-solution.prepare-data
+title: Get and prepare data
+metadata:
+  title: Get and prepare data
+  description: Get and prepare data
+  author: wwlpublish
+  ms.author: madiepev
+  ms.date: 05/28/2025
+  ms.topic: unit
+  ms.collection:
+    - wwl-ai-copilot
+azureSandbox: false
+labModal: false
+durationInMinutes: 5
+content: |
+  [!include[](includes/2a-prepare-data.md)]
+
diff --git a/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/3-choose-service-train.yml b/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/3-choose-service-train.yml
@@ -1,18 +1,18 @@
-### YamlMime:ModuleUnit
-uid: learn.wwl.design-machine-learning-model-training-solution.choose-service-train
-title: Train the model
-metadata:
-  title: Train the model
-  description: Train the model
-  author: wwlpublish
-  ms.author: madiepev
-  ms.date: 01/20/2025
-  ms.topic: unit
-  ms.collection:
-    - wwl-ai-copilot
-azureSandbox: false
-labModal: false
-durationInMinutes: 7
-content: |
-  [!include[](includes/3-choose-service-train.md)]
-
+### YamlMime:ModuleUnit
+uid: learn.wwl.design-machine-learning-model-training-solution.choose-service-train
+title: Train the model
+metadata:
+  title: Train the model
+  description: Train the model
+  author: wwlpublish
+  ms.author: madiepev
+  ms.date: 05/28/2025
+  ms.topic: unit
+  ms.collection:
+    - wwl-ai-copilot
+azureSandbox: false
+labModal: false
+durationInMinutes: 5
+content: |
+  [!include[](includes/3-choose-service-train.md)]
+
diff --git a/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/3b-use-automated-machine-learning.yml b/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/3b-use-automated-machine-learning.yml
@@ -1,9 +1,9 @@
 ### YamlMime:ModuleUnit
 uid: learn.wwl.design-machine-learning-model-training-solution.use-automated-machine-learning
-title: Use Azure Machine Learning Studio
+title: Use Azure Machine Learning studio
 metadata:
-  title: Use Azure Machine Learning Studio
-  description: Use Azure Machine Learning Studio
+  title: Use Azure Machine Learning studio
+  description: Use Azure Machine Learning studio
   author: wwlpublish
   ms.author: sheryang
   ms.date: 05/28/2025
diff --git a/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/4-decide-between-compute-options.yml b/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/4-decide-between-compute-options.yml
@@ -1,18 +1,18 @@
-### YamlMime:ModuleUnit
-uid: learn.wwl.design-machine-learning-model-training-solution.decide-between-compute-options
-title: Integrate a model
-metadata:
-  title: Integrate a model
-  description: Integrate a model
-  author: wwlpublish
-  ms.author: madiepev
-  ms.date: 01/20/2025
-  ms.topic: unit
-  ms.collection:
-    - wwl-ai-copilot
-azureSandbox: false
-labModal: false
-durationInMinutes: 7
-content: |
-  [!include[](includes/4-decide-between-compute-options.md)]
-
+### YamlMime:ModuleUnit
+uid: learn.wwl.design-machine-learning-model-training-solution.decide-between-compute-options
+title: Integrate a model
+metadata:
+  title: Integrate a model
+  description: Integrate a model
+  author: wwlpublish
+  ms.author: madiepev
+  ms.date: 05/28/2025
+  ms.topic: unit
+  ms.collection:
+    - wwl-ai-copilot
+azureSandbox: false
+labModal: false
+durationInMinutes: 7
+content: |
+  [!include[](includes/4-decide-between-compute-options.md)]
+
diff --git a/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/6-knowledge-check.yml b/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/6-knowledge-check.yml
@@ -10,10 +10,10 @@ metadata:
   ms.topic: unit
   ms.custom:
   - N/A
-durationInMinutes: 1
+durationInMinutes: 3
 quiz:
   questions:
-  - content: "What does automated machine learning in Azure Machine Learning enable you to do?"
+  - content: "What does Automated machine learning in Azure Machine Learning enable you to do?"
     choices:
     - content: "Automatically deploy new versions of a model as they're trained"
       isCorrect: false
@@ -23,4 +23,26 @@ quiz:
       explanation: "Incorrect. Automated machine learning does not automate workspace provisioning."
     - content: "Automatically run multiple training jobs using different algorithms and parameters to find the best model"
       isCorrect: true
-      explanation: "Correct. Automated machine learning runs multiple training jobs, varying algorithms and parameters, to find the best model for your data."
+      explanation: "Correct. Automated machine learning runs multiple training jobs, varying algorithms and parameters, to find the best model for your data."
+  - content: "Which of the following factors should you consider when choosing a service to train a machine learning model?"
+    choices:
+    - content: "The number of users in your organization."
+      isCorrect: false
+      explanation: "Incorrect."
+    - content: "How much time you want to invest in model training."
+      isCorrect: true
+      explanation: "Correct."
+    - content: "The approximate number of predictions the model needs to make in a month."
+      isCorrect: false
+      explanation: "Incorrect."
+  - content: "What is a key feature of Azure Machine Learning that supports end-to-end machine learning workflows?"
+    choices:
+    - content: "It provides ready-to-use models for image classification."
+      isCorrect: false
+      explanation: "Incorrect."
+    - content: "It requires integration with Microsoft Fabric to deploy models."
+      isCorrect: false
+      explanation: "Incorrect."
+    - content: " It offers centralized dataset management and automated machine learning."
+      isCorrect: true
+      explanation: "Correct."
diff --git a/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/7-summary.yml b/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/7-summary.yml
@@ -1,18 +1,18 @@
-### YamlMime:ModuleUnit
-uid: learn.wwl.design-machine-learning-model-training-solution.summary
-title: Summary
-metadata:
-  title: Summary
-  description: Summary
-  author: wwlpublish
-  ms.author: madiepev
-  ms.date: 01/20/2025
-  ms.topic: unit
-  ms.collection:
-    - wwl-ai-copilot
-azureSandbox: false
-labModal: false
-durationInMinutes: 1
-content: |
-  [!include[](includes/7-summary.md)]
-
+### YamlMime:ModuleUnit
+uid: learn.wwl.design-machine-learning-model-training-solution.summary
+title: Summary
+metadata:
+  title: Summary
+  description: Summary
+  author: wwlpublish
+  ms.author: sheryang
+  ms.date: 05/28/2025
+  ms.topic: unit
+  ms.collection:
+    - wwl-ai-copilot
+azureSandbox: false
+labModal: false
+durationInMinutes: 1
+content: |
+  [!include[](includes/7-summary.md)]
+
diff --git a/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/includes/1-introduction.md b/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/includes/1-introduction.md
@@ -14,4 +14,6 @@ In this module, you learn how to design an end-to-end machine learning solution
 1. **Monitor the model**: Track the model's performance.
 
 > [!Note]
-> The diagram is a simplified representation of the machine learning process. Typically, the process is iterative and continuous. For example, when monitoring the model you may decide to go back and retrain the model.
+> The diagram is a simplified representation of the machine learning process. Typically, the process is iterative and continuous. For example, when monitoring the model you may decide to go back and retrain the model.
+
+Next, let's look at how we can get started on a machine learning solution by defining the problem.
diff --git a/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/includes/2-identify-tasks.md b/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/includes/2-identify-tasks.md
@@ -34,4 +34,4 @@ Understanding the entire process before you start gives you an opportunity to ma
 1. **Score model**: Generate predictions on test data.
 1. **Evaluate**: Calculate performance metrics.
 
-Training a machine learning model is often an iterative process, where you go through each of these steps multiple times to find the best performing model.
+Training a machine learning model is often an iterative process, where you go through each of these steps multiple times to find the best performing model. Next, let's examine the data preparation process for developing a machine learning solution.
diff --git a/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/includes/2a-prepare-data.md b/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/includes/2a-prepare-data.md
@@ -45,3 +45,5 @@ For example, to create a dataset you can use to train the forecasting model, you
 1. Extract data measurements as JSON objects from the IoT devices.
 1. Convert the JSON objects to a table.
 1. Transform the data to get the temperature per machine per minute.
+
+Next, let's explore the services we can use to train machine learning models.
diff --git a/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/includes/3-choose-service-train.md b/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/includes/3-choose-service-train.md
@@ -36,4 +36,4 @@ Azure Machine Learning provides the following features and capabilities to suppo
 - Integration with common machine learning frameworks such as MLflow, which make it easier to manage model training, evaluation, and deployment at scale.
 - Built-in support for visualizing and evaluating metrics for responsible AI, including model explainability, fairness assessment, and others.
 
-
+Next, let's see how we can get started with Azure Machine Learning in a user interface.
diff --git a/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/includes/3b-use-automated-machine-learning.md b/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/includes/3b-use-automated-machine-learning.md
@@ -1,4 +1,4 @@
-Let's see how we can get started with Azure Machine Learning in a user interface. You can use **Azure Machine Learning studio**, a browser-based portal for managing your machine learning resources and jobs, to access many types of machine learning capabilities. 
+You can use **Azure Machine Learning studio**, a browser-based portal for managing your machine learning resources and jobs, to access many types of machine learning capabilities. 
 
 In Azure Machine Learning studio, you can (among other things):
 
@@ -32,8 +32,8 @@ Which compute options best fit your needs is often a case of trial and error. Wh
 
 ## Azure Automated Machine Learning 
 
-When you use Azure Machine Learning's Automated Machine Learning capabilities, you are automatically assigned compute. **Azure Automated Machine Learning**, also referred to as automated ML or AutoML, is the process of automating the time-consuming, iterative tasks of machine learning model development.
+When you use Azure Machine Learning's Automated machine learning capabilities, you are automatically assigned compute. **Azure Automated machine learning** automates the time-consuming, iterative tasks of machine learning model development.
 
-In Azure Machine Learning Studio, you can use AutoML to design and run your automated ML training experiments with the same steps described in this module, without needing to write code. Azure AutoML provides a step-by-step wizard that helps you run machine learning training jobs. The automated training can be used for many machine learning tasks, including regression, time-series forecasting, classification, computer vision, and natural language processing tasks. Within AutoML, you have access to your own datasets. Your trained machine learning models can be deployed as services. 
+In Azure Machine Learning studio, you can use Automated machine learning to design and run your training experiments with the same steps described in this module, without needing to write code. Azure Automated machine learning provides a step-by-step wizard that helps you run machine learning training jobs. The automated training can be used for many machine learning tasks, including regression, time-series forecasting, classification, computer vision, and natural language processing tasks. Within AutoML, you have access to your own datasets. Your trained machine learning models can be deployed as services. 
 
 Next, let's look at model deployment options.
diff --git a/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/includes/5-exercise.md b/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/includes/5-exercise.md
@@ -1,4 +1,4 @@
-If you have an Azure subscription, you can use the [Azure Machine Learning Studio](https://ml.azure.com?azure-portal=true) to try out Automated Machine Learning.
+If you have an Azure subscription, you can use the [Azure Machine Learning studio](https://ml.azure.com?azure-portal=true) to try out Automated machine learning.
 
 > [!NOTE]
 > If you don't already have one, you can [sign up for an Azure subscription](https://azure.microsoft.com/free?azure-portal=true), which includes free credits for the first 30 days.
diff --git a/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/includes/7-summary.md b/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/includes/7-summary.md
@@ -1,5 +1,2 @@
-In this module, you've learned how to:
+In this module you learned about considerations for machine learning solutions. Machine learning forms the backbone of modern AI applications, enabling systems to generate insights from data for tasks like predictive analytics and personalized recommendations. Designing an effective ML solution involves a structured, iterative process: defining the problem, acquiring and preparing data, training the model, integrating it into applications, and monitoring its performance. Microsoft Azure supports this lifecycle through Azure Machine Learning studio, a browser-based platform where users can manage data, run experiments, deploy models, and monitor results using both code-first and no-code tools like Automated machine learning.
 
-- Identify machine learning tasks.
-- Choose a service to train a model.
-- Choose between compute options.
diff --git a/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/index.yml b/learn-pr/wwl-data-ai/design-machine-learning-model-training-solution/index.yml
@@ -5,7 +5,7 @@ metadata:
   description: Design a machine learning model training solution with Azure Machine Learning.
   author: wwlpublish
   ms.author: madiepev
-  ms.date: 01/20/2025
+  ms.date: 05/28/2025
   ms.service: azure-machine-learning
   ms.topic: module
   ms.collection:
