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### If your content is related to a product or service, apply one value from the either the ms.prod allowlist
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### or the ms.service allowlist. You can’t use both ms.prod and ms.service.
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###
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### If your content isn't about a product or service, you can omit both ms.prod and ms.service.
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###
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### The list of approved ms.prod values is here: https://review.learn.microsoft.com/help/platform/metadata-taxonomies?branch=main#msprod
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### The list of approved ms.service values is here: https://review.learn.microsoft.com/help/platform/metadata-taxonomies?branch=main#msservice
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### If you need to request new values, follow the process here: https://review.learn.microsoft.com/en-us/help/platform/metadata-allowlist-requests?branch=main
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ms.service: azure
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title: Challenge project - Add image analysis and generation capabilities to your application
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summary: |
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Demonstrate your ability to develop a smart web application that integrates computer vision capabilities, leveraging Azure AI Vision and Azure OpenAI cognitive services.
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> [!NOTE]
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> This is a **_Challenge Project_** module where you complete an end-to-end project using high-level guidance; there are no step-by-step instructions.
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abstract: |
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In this module, you'll demonstrate your ability to:
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- Integrate the newest Image Analysis 4.0 capabilities - powered by Microsoft Florence large foundation model - into your application.
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- Enrich your solution with generative AI capabilities.
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- Build a CI/CD pipeline with GitHub actions to deploy your application to the Cloud as an Azure Static Web App.
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prerequisites: |
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- Experience using JavaScript and React or similar frameworks.
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- Experience using GitHub and Visual Studio Code.
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- Familiarity with REST APIs.
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iconUrl: /learn/achievements/generic-badge.svg
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levels: # see level taxonomy https://review.learn.microsoft.com/help/contribute/metadata-taxonomies?branch=main#level
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- beginner
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-
roles: # see role taxonomy https://review.learn.microsoft.com/help/contribute/metadata-taxonomies?branch=main#role
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- developer
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- ai-engineer
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- startup-founder
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- student
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- higher-ed-educator
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products: # see product taxonomy https://review.learn.microsoft.com/help/contribute/metadata-taxonomies?branch=main#product
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- vs-code
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-
- static-web-apps
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-
- ai-services
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-
- azure-openai
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-
subjects: # see subject taxonomy https://review.learn.microsoft.com/help/contribute/metadata-taxonomies?branch=main#subject
### If your content is related to a product or service, apply one value from the either the ms.prod allowlist
14
+
### or the ms.service allowlist. You can’t use both ms.prod and ms.service.
15
+
###
16
+
### If your content isn't about a product or service, you can omit both ms.prod and ms.service.
17
+
###
18
+
### The list of approved ms.prod values is here: https://review.learn.microsoft.com/help/platform/metadata-taxonomies?branch=main#msprod
19
+
### The list of approved ms.service values is here: https://review.learn.microsoft.com/help/platform/metadata-taxonomies?branch=main#msservice
20
+
### If you need to request new values, follow the process here: https://review.learn.microsoft.com/en-us/help/platform/metadata-allowlist-requests?branch=main
21
+
ms.service: azure
22
+
title: Challenge project - Add image analysis and generation capabilities to your application
23
+
summary: |
24
+
Demonstrate your ability to develop a smart web application that integrates computer vision capabilities, leveraging Azure AI Vision and Azure OpenAI cognitive services.
25
+
> [!NOTE]
26
+
> This is a **_Challenge Project_** module where you complete an end-to-end project using high-level guidance; there are no step-by-step instructions.
27
+
abstract: |
28
+
In this module, you'll demonstrate your ability to:
29
+
- Integrate the newest Image Analysis 4.0 capabilities - powered by Microsoft Florence large foundation model - into your application.
30
+
- Enrich your solution with generative AI capabilities.
31
+
- Build a CI/CD pipeline with GitHub actions to deploy your application to the Cloud as an Azure Static Web App.
32
+
prerequisites: |
33
+
- Experience using JavaScript and React or similar frameworks.
34
+
- Experience using GitHub and Visual Studio Code.
35
+
- Familiarity with REST APIs.
36
+
iconUrl: /learn/achievements/generic-badge.svg
37
+
levels: # see level taxonomy https://review.learn.microsoft.com/help/contribute/metadata-taxonomies?branch=main#level
38
+
- beginner
39
+
roles: # see role taxonomy https://review.learn.microsoft.com/help/contribute/metadata-taxonomies?branch=main#role
40
+
- developer
41
+
- ai-engineer
42
+
- startup-founder
43
+
- student
44
+
- higher-ed-educator
45
+
products: # see product taxonomy https://review.learn.microsoft.com/help/contribute/metadata-taxonomies?branch=main#product
46
+
- vs-code
47
+
- static-web-apps
48
+
- foundry-tools
49
+
- azure-openai
50
+
subjects: # see subject taxonomy https://review.learn.microsoft.com/help/contribute/metadata-taxonomies?branch=main#subject
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