Switched videos

GraemeMalcolm · GraemeMalcolm · commit 03b30416b0ad · 2026-01-02T13:10:56.000-05:00
diff --git a/learn-pr/wwl-data-ai/get-started-ai-fundamentals/1-introduction.yml b/learn-pr/wwl-data-ai/get-started-ai-fundamentals/1-introduction.yml
@@ -4,7 +4,7 @@ title: Introduction to AI
 metadata:
   title: Introduction to AI
   description: "Introduction to AI"
-  ms.date: 12/19/2025
+  ms.date: 01/02/2026
   author: GraemeMalcolm
   ms.author: gmalc
   ms.topic: unit
diff --git a/learn-pr/wwl-data-ai/get-started-ai-fundamentals/2-generative-ai.yml b/learn-pr/wwl-data-ai/get-started-ai-fundamentals/2-generative-ai.yml
@@ -1,17 +1,17 @@
 ### YamlMime:ModuleUnit
 # uid: learn.wwl.get-started-ai-fundamentals.understand-machine-learn
 uid: learn.wwl.get-started-ai-fundamentals.generative-ai
-title: Generative AI
+title: Generative AI and agents
 metadata:
-  title: Generative AI
-  description: "Generative AI is a subset of AI that focuses on creating new content, such as text, images, and music, using algorithms and models."
-  ms.date: 12/19/2025
+  title: Generative AI and agents
+  description: "Generative AI enables apps and agents to interpret natural language prompts, and generate appropriate responses or take appropriate action."
+  ms.date: 01/02/2026
   author: GraemeMalcolm
   ms.author: gmalc
   ms.topic: unit
   ms.custom:
   - N/A
   zone_pivot_groups: video-or-text
-durationInMinutes: 4
+durationInMinutes: 3
 content: |
   [!include[](includes/2-generative-ai.md)]
diff --git a/learn-pr/wwl-data-ai/get-started-ai-fundamentals/3-computer-vision.yml b/learn-pr/wwl-data-ai/get-started-ai-fundamentals/3-computer-vision.yml
@@ -5,13 +5,13 @@ title: Computer vision
 metadata:
   title: Computer vision
   description: "Computer vision is a field of AI that enables machines to interpret and understand visual information from the world, such as images and videos."
-  ms.date: 12/19/2025
+  ms.date: 01/02/2026
   author: GraemeMalcolm
   ms.author: gmalc
   ms.topic: unit
   ms.custom:
   - N/A
   zone_pivot_groups: video-or-text
-durationInMinutes: 4
+durationInMinutes: 3
 content: |
   [!include[](includes/3-computer-vision.md)]
diff --git a/learn-pr/wwl-data-ai/get-started-ai-fundamentals/4-speech.yml b/learn-pr/wwl-data-ai/get-started-ai-fundamentals/4-speech.yml
@@ -5,13 +5,13 @@ title: Speech
 metadata:
   title: Speech
   description: "Speech recognition and synthesis are key components of AI that enable machines to understand and generate human speech."
-  ms.date: 12/19/2025
+  ms.date: 01/02/2026
   author: GraemeMalcolm
   ms.author: gmalc
   ms.topic: unit
   ms.custom:
   - N/A
   zone_pivot_groups: video-or-text
-durationInMinutes: 4
+durationInMinutes: 3
 content: |
   [!include[](includes/4-speech.md)]
diff --git a/learn-pr/wwl-data-ai/get-started-ai-fundamentals/5-natural-language-processing.yml b/learn-pr/wwl-data-ai/get-started-ai-fundamentals/5-natural-language-processing.yml
@@ -1,17 +1,17 @@
 ### YamlMime:ModuleUnit
 # uid: learn.wwl.get-started-ai-fundamentals.understand-document-intelligence
 uid: learn.wwl.get-started-ai-fundamentals.natural-language-processing
-title: Natural language processing for text analysis
+title: Text and natural language
 metadata:
-  title: Natural language processing for text analysis
+  title: Text and natural language
   description: "Natural language processing (NLP) is a field of AI that focuses on the interaction between computers and humans through natural language. It's often used to analyze and extract meaning from text."
-  ms.date: 12/19/2025
+  ms.date: 01/02/2026
   author: GraemeMalcolm
   ms.author: gmalc
   ms.topic: unit
   ms.custom:
   - N/A
   zone_pivot_groups: video-or-text
-durationInMinutes: 4
+durationInMinutes: 3
 content: |
   [!include[](includes/5-natural-language-processing.md)]
diff --git a/learn-pr/wwl-data-ai/get-started-ai-fundamentals/6-extract-insights.yml b/learn-pr/wwl-data-ai/get-started-ai-fundamentals/6-extract-insights.yml
@@ -5,13 +5,13 @@ title: Information extraction
 metadata:
   title: Information extraction
   description: "AI can analyze forms, documents, and other content to extract data and insights."
-  ms.date: 12/19/2025
+  ms.date: 01/02/2026
   author: GraemeMalcolm
   ms.author: gmalc
   ms.topic: unit
   ms.custom:
   - N/A
   zone_pivot_groups: video-or-text
-durationInMinutes: 4
+durationInMinutes: 3
 content: |
   [!include[](includes/6-extract-insights.md)]
diff --git a/learn-pr/wwl-data-ai/get-started-ai-fundamentals/7-responsible-ai.yml b/learn-pr/wwl-data-ai/get-started-ai-fundamentals/7-responsible-ai.yml
@@ -5,13 +5,13 @@ title: Responsible AI
 metadata:
   title: Responsible AI
   description: "AI is amazingly powerful, so we must learn to use it responsibly."
-  ms.date: 12/19/2025
+  ms.date: 01/02/2026
   author: GraemeMalcolm
   ms.author: gmalc
   ms.topic: unit
   ms.custom:
   - N/A
   zone_pivot_groups: video-or-text
-durationInMinutes: 4
+durationInMinutes: 3
 content: |
   [!include[](includes/7-responsible-ai.md)]
diff --git a/learn-pr/wwl-data-ai/get-started-ai-fundamentals/8-knowledge-check.yml b/learn-pr/wwl-data-ai/get-started-ai-fundamentals/8-knowledge-check.yml
@@ -4,7 +4,7 @@ title: Module assessment
 metadata:
   title: Module assessment
   description: "Knowledge check"
-  ms.date: 12/19/2025
+  ms.date: 01/02/2026
   author: GraemeMalcolm
   ms.author: gmalc
   ms.topic: unit
@@ -15,7 +15,7 @@ durationInMinutes: 3
 quiz:
   title: ""
   questions:
-  - content: "Which is the best description of generative AI?"
+  - content: "Which is the most accurate description of generative AI?"
     choices:
     - content: "Generative AI uses a language model to create original content in response to a prompt."
       isCorrect: true
@@ -26,17 +26,17 @@ quiz:
     - content: "Generative AI is a complex form of AI that can only be used by specialists such as data scientists."
       isCorrect: false
       explanation: "Incorrect. Generative AI is available in many user-friendly applications."
-  - content: "A wildlife conservation app uses AI to locate one or more animals in photos. Which computer vision capability is being used?"
+  - content: "What is an AI agent?"
     choices:
-    - content: "Image classification"
+    - content: "A technology professional who builds AI applications."
       isCorrect: false
-      explanation: "Incorrect. Image classification is used to identify the main subject of an image."
-    - content: "Object detection"
-      isCorrect: true
-      explanation: "Correct. Object detection is used to identify the location of one or more objects in an image."
-    - content: "Entity extraction"
+      explanation: "Incorrect. An AI agent is not a technologist."
+    - content: "Anyone who uses AI applications."
       isCorrect: false
-      explanation: "Incorrect. Entity extraction is used to identify and extract specific information from text."
+      explanation: "Incorrect. An AI agent is not just any user of AI applications."
+    - content: "An AI application that can perform tasks on behalf of a user."
+      isCorrect: true
+      explanation: "Correct. An AI agent is an AI application that can perform tasks on behalf of a user."
   - content: "An AI application reads email aloud to a user. Which AI speech capability is being used?"
     choices:
     - content: "Speech recognition"
diff --git a/learn-pr/wwl-data-ai/get-started-ai-fundamentals/9-summary.yml b/learn-pr/wwl-data-ai/get-started-ai-fundamentals/9-summary.yml
@@ -4,7 +4,7 @@ title: Summary
 metadata:
   title: Summary
   description: "Review what you've learned about AI and find resources to learn more."
-  ms.date: 12/19/2025
+  ms.date: 01/02/2026
   author: GraemeMalcolm
   ms.author: gmalc
   ms.topic: unit
diff --git a/learn-pr/wwl-data-ai/get-started-ai-fundamentals/includes/1-introduction.md b/learn-pr/wwl-data-ai/get-started-ai-fundamentals/includes/1-introduction.md
@@ -1,6 +1,6 @@
 ::: zone pivot="video"
 
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=808bd867-bed5-4d11-8feb-09bb1054a5fd]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=911fe0c7-14bc-44ea-b2e0-fd9bdbc6ef94]
 
 ::: zone-end
 
@@ -10,7 +10,7 @@ Welcome!
 
 You're presumably here because you want to learn more about artificial intelligence (AI). Maybe you've heard about AI in the media and want to know more; or maybe you're going to be adopting AI at work or in school, and want to know more about what to expect.
 
-This training module is designed to provide a high-level overview of some core capabilities of artificial intelligence (AI) and give you an *intuition* of how they work. It's not a deeply technical module, and we won't be writing any code or getting into the mathematical details of machine learning models. Instead, we'll focus on understanding the kinds of things that AI can do, and the basic principles on which it's based.
+This training module is designed to provide a high-level overview of some core capabilities of artificial intelligence (AI) and give you an *intuition* of how they work. It's not a deeply technical module, and we won't be writing any code or getting into the mathematical details of the machine learning models on which AI is built. Instead, we'll focus on understanding the kinds of things that AI can do, and the basic principles on which it's based.
 
 So, let's go! Move on to the next unit and we'll start our exploration of AI.
 
diff --git a/learn-pr/wwl-data-ai/get-started-ai-fundamentals/includes/2-generative-ai.md b/learn-pr/wwl-data-ai/get-started-ai-fundamentals/includes/2-generative-ai.md
@@ -1,6 +1,6 @@
 ::: zone pivot="video"
 
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=cd9ab7d4-725d-42ba-a0b1-07c09a9a1014]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=7284116f-533c-47f7-8d0f-7a3328df7ea8]
 
 > [!NOTE]
 > See the **Text and images** tab for more details!
@@ -17,13 +17,13 @@ Users interact with generative AI language models through *prompts* - natural la
 
 Generative AI models encapsulate *semantic* relationships between language elements (that's a fancy way of saying that the models "know" how words relate to one another), and that's what enables them to generate a meaningful sequence of text.
 
-There are *large language models* (LLMs) and *small language models* (SLMs) - the difference is based on the volume of data and the number of variables in the model. LLMs are powerful and generalize well, but can be more costly to train and use. SLMs tend to work well in scenarios that are more focused on specific topic areas, and usually cost less.
+There are *large language models* (LLMs) and *small language models* (SLMs) - the difference is based on the volume of data and the number of variables in the model. LLMs are powerful and generalize well, but can be more costly to train and use. SLMs tend to work well in scenarios that are more focused on specific topic areas or that require easily deployed small models for local applications and agents on devices.
 
 ## Generative AI scenarios
 
 Common uses of generative AI include:
 
-- Implementing chatbots and AI agents that assist human users.
+- Implementing AI *agents* that assist human users by providing information or automating tasks.
 - Creating new documents or other content (often as a starting point for further iterative development)
 - Automated translation of text between languages.
 - Summarizing or explaining complex documents.
diff --git a/learn-pr/wwl-data-ai/get-started-ai-fundamentals/includes/3-computer-vision.md b/learn-pr/wwl-data-ai/get-started-ai-fundamentals/includes/3-computer-vision.md
@@ -1,6 +1,6 @@
 ::: zone pivot="video"
 
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=5b47c1d9-50c0-4e69-80af-8f1393fe34ea]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=6bddab82-350b-4420-a1f3-741b9741c7b1]
 
 > [!NOTE]
 > See the **Text and images** tab for more details!
@@ -24,6 +24,7 @@ There are multiple types of computer vision model.
 
 Common uses of computer vision include:
 
+- Ai agents that can interpret visual input.
 - Auto-captioning or tag-generation for photographs.
 - Visual search.
 - Monitoring stock levels or identifying items for checkout in retail scenarios.
diff --git a/learn-pr/wwl-data-ai/get-started-ai-fundamentals/includes/4-speech.md b/learn-pr/wwl-data-ai/get-started-ai-fundamentals/includes/4-speech.md
@@ -1,6 +1,6 @@
 ::: zone pivot="video"
 
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=fa93cff9-4977-4c1f-b48e-9310a1c71191]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=dfce25be-30a1-4695-a805-45d139d1d133]
 
 > [!NOTE]
 > See the **Text and images** tab for more details!
@@ -29,7 +29,6 @@ AI speech technology is evolving rapidly to handle challenges like ignoring back
 
 Common uses of AI speech technologies include:
 
-- Personal AI assistants in phones, computers, or household devices with which you interact by talking.
 - AI agents that understand spoken input, perform tasks, and respond with spoken results.
 - Automated transcription of calls or meetings.
 - Automating audio descriptions of video or text.
diff --git a/learn-pr/wwl-data-ai/get-started-ai-fundamentals/includes/5-natural-language-processing.md b/learn-pr/wwl-data-ai/get-started-ai-fundamentals/includes/5-natural-language-processing.md
@@ -1,6 +1,6 @@
 ::: zone pivot="video"
 
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=ddcbd833-f5aa-49bb-97dd-1108e4b6c95e]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=b0aec446-97a1-4d66-a0ae-a67014e40937]
 
 > [!NOTE]
 > See the **Text and images** tab for more details!
diff --git a/learn-pr/wwl-data-ai/get-started-ai-fundamentals/includes/6-extract-insights.md b/learn-pr/wwl-data-ai/get-started-ai-fundamentals/includes/6-extract-insights.md
@@ -1,6 +1,6 @@
 ::: zone pivot="video"
 
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=136ff83e-05c4-4e39-bd40-be0f4a4bdd67]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=2100ee4d-ebfc-45fe-8602-94ca9d29a580]
 
 > [!NOTE]
 > See the **Text and images** tab for more details!
diff --git a/learn-pr/wwl-data-ai/get-started-ai-fundamentals/includes/7-responsible-ai.md b/learn-pr/wwl-data-ai/get-started-ai-fundamentals/includes/7-responsible-ai.md
@@ -1,6 +1,6 @@
 ::: zone pivot="video"
 
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=0b09c5c0-62df-4bc9-b7b1-fe8ee3a9a9ad]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=373e395b-a17e-4b40-ae2b-e1977ff6859f]
 
 > [!NOTE]
 > See the **Text and images** tab for more details!
@@ -27,7 +27,7 @@ Some example of scenarios where responsible AI practices should be applied inclu
 - An AI-powered college admissions system should be tested to ensure it evaluates all applications fairly, taking into account relevant academic criteria but avoiding unfounded discrimination based on irrelevant demographic factors.
 - An AI-powered robotic solution that uses computer vision to detect objects should avoid unintentional harm or damage. One way to accomplish this goal is to use probability values to determine "confidence" in object identification before interacting with physical objects, and avoid any action if the confidence level is below a specific threshold.
 - A facial identification system used in an airport or other secure area should delete personal images that are used for temporary access as soon as they're no longer required. Additionally, safeguards should prevent the images being made accessible to operators or users who have no need to view them.
-- A web-based chatbot that offers speech-based interaction should also generate text captions to avoid making the system unusable for users with a hearing impairment.
+- An AI agent that offers speech-based interaction should also generate text captions to avoid making the system unusable for users with a hearing impairment.
 - A bank that uses an AI-based loan-approval application should disclose the use of AI, and describe features of the data on which it was trained (without revealing confidential information).
 
 ::: zone-end
diff --git a/learn-pr/wwl-data-ai/get-started-ai-fundamentals/includes/9-summary.md b/learn-pr/wwl-data-ai/get-started-ai-fundamentals/includes/9-summary.md
@@ -1,6 +1,6 @@
 ::: zone pivot="video"
 
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=bb56bcc7-5903-41c3-b823-8659af6217c1]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=ba24beec-3ffb-4884-8903-b256a3f4650e]
 
 > [!NOTE]
 > See the **Text and images** tab for more details!
@@ -11,10 +11,10 @@
 
 Hopefully, this module gave you an insight into some of the core capabilities of AI, and an intuition into how they work. We explored many areas of AI, including:
 
-- Generative AI
-- Computer vision
-- Speech
+- Generative AI and agents
 - Natural language processing (NLP) and text analytics
+- Speech
+- Computer vision
 - Information extraction
 - Responsible AI
 
diff --git a/learn-pr/wwl-data-ai/get-started-ai-fundamentals/index.yml b/learn-pr/wwl-data-ai/get-started-ai-fundamentals/index.yml
@@ -31,9 +31,9 @@ products:
 units:
 - learn.wwl.get-started-ai-fundamentals.introduction-ai
 - learn.wwl.get-started-ai-fundamentals.generative-ai
-- learn.wwl.get-started-ai-fundamentals.computer-vision
-- learn.wwl.get-started-ai-fundamentals.speech
 - learn.wwl.get-started-ai-fundamentals.natural-language-processing
+- learn.wwl.get-started-ai-fundamentals.speech
+- learn.wwl.get-started-ai-fundamentals.computer-vision
 - learn.wwl.get-started-ai-fundamentals.extract-insights
 - learn.wwl.get-started-ai-fundamentals.responsible-ai
 - learn.wwl.get-started-ai-fundamentals.knowledge-check
diff --git a/learn-pr/wwl-data-ai/get-started-ai-fundamentals/media/computer-vision.png b/learn-pr/wwl-data-ai/get-started-ai-fundamentals/media/computer-vision.png
diff --git a/learn-pr/wwl-data-ai/get-started-ai-fundamentals/media/information-extraction.png b/learn-pr/wwl-data-ai/get-started-ai-fundamentals/media/information-extraction.png
diff --git a/learn-pr/wwl-data-ai/get-started-ai-fundamentals/media/speech-recognition.png b/learn-pr/wwl-data-ai/get-started-ai-fundamentals/media/speech-recognition.png
diff --git a/learn-pr/wwl-data-ai/get-started-ai-fundamentals/media/speech-synthesis.png b/learn-pr/wwl-data-ai/get-started-ai-fundamentals/media/speech-synthesis.png
