What is the role of an Azure AI Engineer?

An Azure AI Engineer collaborates with solution architects to translate their vision and works with Data engineers IoT specialists AI developers Data scientists to build end-to-end AI solutions.

What Azure AI services will I specialize in after completing the AI-102 exam?

You can implement AI solutions with Azure AI services such as Azure Cognitive Services, Microsoft Bot Framework, and Azure Cognitive Search.

What other recommended certifications can I look for after completing the AI Engineer Associate Certification?

You can upgrade your skills by earning the Microsoft Certified Azure Data Scientist Associate Certification

What job roles can I look for after completing the Microsoft Azure AI Engineer Certification?

Completing the Azure AI Engineer Associate Certification can lead you to job roles, such as: AI Engineer AI Developer Data Scientist Lead AI Developer

How can I pass the Azure AI Engineer Associate exam?

NetCom Learning offers Instructor-led training conducted by Microsoft Certified Trainers for the AI-102T00: Designing & Implementing an Azure AI Solution course , which will help you prepare for the AI-102 exam.

I already have the Azure AI Engineer Associate certification by completing the AI-100 exam. Can I renew it by clearing the updated AI-102 exam?

To renew your Azure AI Engineer certification, you must pass a free renewal assessment on Microsoft Learn within six months before your certification expires. Upon passing this renewal assessment, your certification validity will be extended by an additional year from the current expiration date.

How can obtaining the Microsoft Certified Azure AI Engineer Associate certification benefit our organization?

Obtaining the Microsoft Certified Azure AI Engineer Associate certification ensures that your team has the skills to build, manage, and deploy AI solutions effectively using Azure AI. Certified professionals can enhance productivity, improve AI solution integration, and ensure the use of responsible AI principles, leading to more efficient and secure AI implementations within your organization.

What experience is recommended before taking the Microsoft Certified Azure AI Engineer Associate certification exam?

It is recommended to have experience in developing AI solutions using languages such as Python or C#. Familiarity with REST APIs and SDKs for building secure AI solutions on Azure, as well as understanding Azure AI portfolio components and data storage options, is also beneficial. Hands-on experience in applying responsible AI principles will further enhance your preparation.

. Can we ensure compliance and security in our AI projects with Microsoft Certified Azure AI Engineers?

Yes, Microsoft Certified Azure AI Engineers are trained to use Azure AI tools and services securely. They understand responsible AI principles and can ensure that AI solutions comply with relevant regulations and security standards. This helps in mitigating risks and protecting sensitive data within your AI projects.

Microsoft Certified Azure AI Engineer Associate

About the Certification

As a Microsoft Azure AI engineer, you build, manage, and deploy AI solutions that leverage Azure AI.

Your responsibilities include participating in all phases of AI solutions development, including:

Requirements definition and design
Development
Deployment
Integration
Maintenance
Performance tuning
Monitoring

You work with solution architects to translate their vision. You also work with data scientists, data engineers, Internet of Things (IoT) specialists, infrastructure administrators, and other software developers to:

Build complete and secure end-to-end AI solutions.
Integrate AI capabilities in other applications and solutions.

As an Azure AI engineer, you have experience developing solutions that use languages such as:

Python
C#

You should be able to use Representational State Transfer (REST) APIs and SDKs to build secure image processing, video processing, natural language processing, knowledge mining, and generative AI solutions on Azure. You should:

Understand the components that make up the Azure AI portfolio and the available data storage options.
Be able to apply responsible AI principles.

Skills Measured:

Plan and manage an Azure AI solution (15–20%)
Implement decision support solutions (10–15%)
Implement computer vision solutions (15–20%)
Implement natural language processing solutions (30–35%)
Implement knowledge mining and document intelligence solutions (10–15%)
Implement generative AI solutions (10–15%)

Passing Criteria:

A passing score is 700 or greater.

Exam Duration:

120 Minutes

Recertification:

Previously, Microsoft role-based and specialty certifications were valid for two years.
Starting June 2021, certifications are valid for one year, but they can be renewed online for free at Microsoft Learn.
The renewal window begins six months before the certification expires. During this window, before the cert expires, you can take a free online assessment and get the certification extended by one additional year from the current expiration date.
Want the best of both worlds, old and new? Certifications earned before June 2021 will be valid for two years and eligible for the new renewal process.

Frequently Asked Questions

An Azure AI Engineer collaborates with solution architects to translate their vision and works with

Data engineers
IoT specialists
AI developers
Data scientists to build end-to-end AI solutions.