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- specialization prep
---

# Azure Specialization: AI and Machine Learning in Microsoft\
# Azure Specialization: AI and Machine Learning in Microsoft

Program Overview: [**AI and Machine Learning in Microsoft Azure
specialization**](https://partner.microsoft.com/en-us/partnership/specialization/ai-and-machine-learning)
Expand All @@ -29,119 +29,73 @@ Last update: 6/17/2024
Only a Partner Administrator of an organization\'s Microsoft account can
apply for the AI and Machine Learning in Microsoft Azure specialization
on behalf of the organization. If you have the appropriate role and
access, you can apply by signing into [Partner
Center](https://partner.microsoft.com/dashboard/v2/membership/advancedspecialization/BuildAndAIAppASP)
and navigating to your Partner Center dashboard \> Membership \>
Specializations.
access, you can apply by signing into [Partner Center](https://partner.microsoft.com/dashboard/v2/membership/advancedspecialization/BuildAndAIAppASP)
and navigating to your Partner Center dashboard \> Membership \> Specializations.

To learn more, see: [Apply for specializations - Partner Center \|
Microsoft
Learn](https://learn.microsoft.com/en-us/partner-center/specializations-apply#how-azure-consumption-revenue-acr-is-calculated-for-each-advanced-specialization)
To learn more, see: [Apply for specializations - Partner Center | Microsoft Learn](https://learn.microsoft.com/en-us/partner-center/specializations-apply#how-azure-consumption-revenue-acr-is-calculated-for-each-advanced-specialization)

## What are the requirements?

Eligible partners must meet the highest standards for service delivery
and support. All requirements will be verified by Microsoft and/or a
third-party vendor, either automatically or by manual review, and are
subject to change.
Eligible partners must meet the highest standards for service delivery and support. All requirements will be verified by Microsoft and/or a third-party vendor, either automatically or by manual review, and are subject to change.

### 1. Solution Partner Designation

> Your organization must have an active Solutions Partner for Data & AI
> (Azure) or Digital & App Innovation (Azure) designation.
>
> **How to attain a Solutions Partner designation**The partner
> capability score provides flexibility to demonstrate knowledge,
> skills, and experience across subcategories of performance, skilling,
> and customer success.
>
> A minimum of **70** points must be earned, with points in each
> category. There are **100** points possible in total across
> categories.
Your organization must have an active Solutions Partner for Data & AI (Azure) or Digital & App Innovation (Azure) designation.

- Performance - Measured by net customer adds
**How to attain a Solutions Partner designation**
The partner capability score provides flexibility to demonstrate knowledge, skills, and experience across subcategories of performance, skilling, and customer success.

- Skilling - Verifies and demonstrates your dedication to skilling and
training by intermediate and advanced certifications
A minimum of **70** points must be earned, with points in each category. There are **100** points possible in total across categories.

- Customer success - Measured by usage growth and the number of
solution deployments

> Admins can sign-in to [Partner
> Center](https://partner.microsoft.com/dashboard/mpn/overview) to see
> how your organization is progressing towards a Solutions Partner
> designation.
>
> ![]({{ site.baseurl }}/assets/aiml/SolutionPartnerDesignation.png){width="6.19375in" height="5.175in"}
>
> Make sure your organization is receiving the points you've earned by
> having the right associations in place. Associations are the sole
> mechanism by which customer success, performance, and skilling
> subcategory points are acknowledged and calculated towards achieving
> Solutions Partner designations
>
> There are two paths to earning points:
- Performance - Measured by net customer adds

- Partner associations recognize partners for performance and customer
success subcategories including net customer adds, usage growth, and
deployment
- Skilling - Verifies and demonstrates your dedication to skilling and training by intermediate and advanced certifications

- Customer success - Measured by usage growth and the number of solution deployments

- Certified professional associations provide visibility into the
certifications individuals in your company have earned
Admins can sign-in to [Partner Center](https://partner.microsoft.com/dashboard/mpn/overview) to see how your organization is progressing towards a Solutions Partner designation.

> **Which option should I choose?**
>
> If these activities describe the work that you do, consider
> **Solutions Partner for Data & AI (Azure)**:
![]({{ site.baseurl }}/assets/aiml/SolutionPartnerDesignation.png){width="6.19375in" height="5.175in"}

- Analyzing existing workloads, generating schema models, and
performing extract, transform, load (ETL) operations to migrate data
to cloud-based data warehouses and enable cloud-based analytics
solutions.
Make sure your organization is receiving the points you've earned by having the right associations in place. Associations are the sole mechanism by which customer success, performance, and skilling subcategory points are acknowledged and calculated towards achieving Solutions Partner designations

There are two paths to earning points:

- Planning and delivering tailored Microsoft analytics solutions using
Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, and
Azure Databricks.
- Partner associations recognize partners for performance and customer success subcategories including net customer adds, usage growth, and deployment

- Enabling customer adoption of Al and implementing Azure solutions
for Alpowered apps and machine learning life cycles.
- Certified professional associations provide visibility into the certifications individuals in your company have earned

**Which option should I choose?**

If these activities describe the work that you do, consider **Solutions Partner for Data & AI (Azure)**:

- Analyzing existing workloads, generating schema models, and performing extract, transform, load (ETL) operations to migrate data to cloud-based data warehouses and enable cloud-based analytics solutions.

> If these activities describe the work that you do, consider **Solutions Partner for Digital & App Innovation (Azure)**:
- Planning and delivering tailored Microsoft analytics solutions using Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, and
Azure Databricks.

- Enabling customer adoption of Al and implementing Azure solutions for Alpowered apps and machine learning life cycles.

If these activities describe the work that you do, consider **Solutions Partner for Digital & App Innovation (Azure)**:

- Migrating and deploying production web application workloads,
applying DevOps, and managing app services in Azure
- Migrating and deploying production web application workloads, applying DevOps, and managing app services in Azure

- Managing production workloads in the cloud using containers and
managing hosted Kubernetes environments in Azure
- Managing production workloads in the cloud using containers and managing hosted Kubernetes environments in Azure

- Implementing secure DevOps practices and driving DevOps adoption
while using Azure and GitHub
- Implementing secure DevOps practices and driving DevOps adoption while using Azure and GitHub

> **How to Prepare**
**How to Prepare**

- [Overview Deck: Solution Partner for **Azure Data & AI
(Azure)**](https://assetsprod.microsoft.com/mpn/en-us/overview-solutions-partner-for-data-and-ai-azure.pdf)
-- Deep dive into the Solution Partner Designation and product
benefits \[7/18/2023\]
- [Overview Deck: Solution Partner for **Azure Data & AI (Azure)**](https://assetsprod.microsoft.com/mpn/en-us/overview-solutions-partner-for-data-and-ai-azure.pdf) -- Deep dive into the Solution Partner Designation and product benefits \[7/18/2023\]

- [Overview Deck: Solution Partner for **Digital & App Innovation
(Azure)**](https://assetsprod.microsoft.com/mpn/en-us/overview-solutions-partner-for-digital-and-app-innovation-azure.pdf)
-- Deep dive into \[7/18/2023\]
- [Overview Deck: Solution Partner for **Digital & App Innovation (Azure)**](https://assetsprod.microsoft.com/mpn/en-us/overview-solutions-partner-for-digital-and-app-innovation-azure.pdf) -- Deep dive into \[7/18/2023\]

- [Technical Requirements: Solutions Partner for Data & AI (Azure),
Infrastructure (Azure), and Digital & App Innovation (Azure) -
Partner Center \| Microsoft
Learn](https://learn.microsoft.com/en-us/partner-center/solutions-partner-azure)
-- Detailed requirements for Solutions Partner designation
\[10/3/2022\]
- [Technical Requirements: Solutions Partner for Data & AI (Azure), Infrastructure (Azure), and Digital & App Innovation (Azure) - Partner Center \| Microsoft
Learn](https://learn.microsoft.com/en-us/partner-center/solutions-partner-azure) -- Detailed requirements for Solutions Partner designation \[10/3/2022\]

- Explore the [Partner Associations
Playbook](https://assetsprod.microsoft.com/mpn/en-us/solutions-partner-associations-playbook.pdf)
for more information on which associations are right for you and
additional steps to maximize your partner capability score.
- Explore the [Partner Associations Playbook](https://assetsprod.microsoft.com/mpn/en-us/solutions-partner-associations-playbook.pdf) for more information on which associations are right for you and additional steps to maximize your partner capability score.

- Ensure your partner associations are connected as you prep to attain
Solutions Partner designations.
- Ensure your partner associations are connected as you prep to attain Solutions Partner designations.


### 2. Performance
Expand Down Expand Up @@ -261,56 +215,29 @@ B**: AI and Machine Learning on Microsoft Azure workload.
To pass the audit, you must complete all [audit
checklist](https://assetsprod.microsoft.com/en-us/microsoft-azure-ai-audit-checklist.pdf)
items. Below are a few key notes from the audit checklist document.

**Please reference the audit checklist document directly for the latest
information**.

+-----------------------------------------------------------------------+
| **Module A: Cloud Foundation is required for multiple Azure |
| specializations** |
| |
| - The partner may present evidence of a previous pass result from |
| Module A or from another Azure specialization audit conducted on |
| V2.0 or later. |
| |
| - Partners who have passed an Azure specialization audit before |
| July 1, 2021 and for the Analytics on Microsoft Azure |
| specialization audit before Oct 1, 2021, have likely not passed |
| the Module A audit and will need to do so to qualify for the |
| Module B workload audits. |
| |
| **Module B: AI and Machine Learning on Microsoft Azure workload** |
| |
| - Each control has one (1) or more requirements and required |
| evidence the partner must provide for the auditor. |
| |
| - Both the requirements and the required evidence are defined in |
| the [audit checklist |
| tables](https://as |
| setsprod.microsoft.com/en-us/microsoft-azure-ai-audit-checklist.pdf). |
| |
| - For some controls, a reference customer or customer evidence is |
| the documentation requested. |
| |
| - Unless otherwise stated, the partner must show at least three (3) |
| unique customers with deployments completed within the last |
| twelve (12) months. |
| |
| - Please note some checklists call for four (4) customer examples. |
| |
| - The partner can use the same customer across audit checklist |
| controls, or they can use a different customer. For audit |
| evidence relating to customer engagements, the partner can use a |
| customer case study and reference it multiple times. The same or |
| different customers can be used for Modules A & B if they |
| demonstrate requirements. |
| |
| You can use the same customer across audit checklist controls, or you |
| can use a different customer. For audit evidence relating to customer |
| engagements, you can use a customer case study and reference it |
| multiple times. The same or different customers can be used for |
| Modules A & B if they demonstrate requirements. |
+=======================================================================+
+-----------------------------------------------------------------------+
**Module A: Cloud Foundation is required for multiple Azure Specializations**
- The partner may present evidence of a previous pass result from Module A or from another Azure specialization audit conducted on V2.0 or later.

- Partners who have passed an Azure specialization audit before July 1, 2021 and for the Analytics on Microsoft Azure specialization audit before Oct 1, 2021, have likely not passed the Module A audit and will need to do so to qualify for the Module B workload audits. |

**Module B: AI and Machine Learning on Microsoft Azure workload**
- Each control has one (1) or more requirements and required evidence the partner must provide for the auditor.

- Both the requirements and the required evidence are defined in the [audit checklist tables](https://assetsprod.microsoft.com/en-us/microsoft-azure-ai-audit-checklist.pdf).

- For some controls, a reference customer or customer evidence is the documentation requested.

- Unless otherwise stated, the partner must show at least three (3) unique customers with deployments completed within the last twelve (12) months.

- Please note some checklists call for four (4) customer examples.

- The partner can use the same customer across audit checklist controls, or they can use a different customer. For audit evidence relating to customer engagements, the partner can use a customer case study and reference it multiple times. The same or different customers can be used for Modules A & B if they demonstrate requirements.

You can use the same customer across audit checklist controls, or you can use a different customer. For audit evidence relating to customer engagements, you can use a customer case study and reference it multiple times. The same or different customers can be used for Modules A & B if they demonstrate requirements.

> **How to Prepare**
Expand Down

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