certificationNationally Recognized

Microsoft Certified: Azure AI Engineer Associate

The Azure AI Engineer Associate certification validates a candidate's ability to build, manage, and deploy AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. It involves demonstrating capabilities in implementing AI solutions using Azure tools and technologies.

Total Cost

Estimated Budget

$165$3,165

Median Salary

Annual Earnings

$124,910

Job Growth

10-Year Outlook

28.5%

Training Hours

Total Program Duration

Varies based on prior knowledge and experience

Who Needs This Credential?

This certification is ideal for professionals who design and implement AI apps and agents that use Microsoft Azure tools. It is particularly valuable for AI engineers, data scientists, and developers seeking to validate their skills in AI solution development on the Azure platform.

Not applicable, as this is a globally recognized certification without specific state or national licensure requirements.

MicrosoftInformation Technology And ServicesNationally Recognized

Requirements

To earn the Azure AI Engineer Associate credential, candidates must pass an exam that tests their knowledge and skills in designing and implementing AI solutions using Azure services. No specific educational background is required, but familiarity with AI concepts and Microsoft Azure is necessary.

Minimum Age
18
Minimum Education
None
Training Hours
Varies based on prior knowledge and experience

Other Requirements

Pass the AI-102: Designing and Implementing an Azure AI Solution exam

How to Become Azure AI Engineer Associate Certified

The Azure AI Engineer Associate certification involves several steps, typically completed over a few months. The process includes training, studying, passing an exam, and maintaining credentials.

1

Understand the Role and Requirements

Review the skills and knowledge required for an Azure AI Engineer. This includes understanding Azure AI solution requirements, designing AI solutions, integrating AI models into solutions, and deploying and maintaining AI solutions.

1-2 weeks Free

Visit the official Microsoft Certification page for the most current requirements and role descriptions.

2

Enroll in Learning Paths and Training Courses

Microsoft offers specific learning paths for Azure AI Engineers. These include online courses and training sessions that cover the necessary skills, such as using Azure Machine Learning, Cognitive Services, and Knowledge Mining.

1-3 months Varies (Some resources are free, others may cost depending on provider)

Utilize free resources on Microsoft Learn and consider paid courses for deeper instruction.

3

Hands-On Practice

Gain practical experience by working on projects that involve Azure AI services. This could include personal projects, internships, or job-related tasks.

Ongoing Free to $300 (cost of setting up Azure services if not covered by an employer or educational institution)

Set up a free Azure account to practice if you do not have access through work or school.

4

Study for the Exam

Prepare for the AI-102: Designing and Implementing an Azure AI Solution exam. Use study guides, practice tests, and review all learning materials thoroughly.

2-3 months Free to $100 (cost of study materials and practice exams)

Regularly test your knowledge with practice exams to identify areas needing improvement.

5

Schedule and Take the Exam

Register for the AI-102 exam through Microsoft or an authorized testing center. Ensure you are well-prepared and rested before taking the exam.

1 day $165 (exam fee)

Choose a quiet, comfortable location for the exam if taking it online.

6

Maintain Certification

Keep your certification up to date by completing continuing education and renewing your certification every year as required by Microsoft.

Annually Free to $100 (renewal exam or continuing education courses if required)

Stay informed about changes in Azure technologies and certification requirements.

Cost Breakdown

The total cost for obtaining the Azure AI Engineer Associate certification varies based on training expenses and exam fees. Training costs can fluctuate depending on the choice between self-study and formal courses. No financial aid is typically available, but some employers may cover costs.

Training Program$0$3,000
Exam Fee$165
Application Fee$0
Background Check$0
Total Estimated Cost$165$3,165

💰 Financial Aid Available

Some employers offer sponsorship for certification costs as part of professional development programs.

Salary & Career Outlook

Entry Level

$85,000

Median Salary

$124,910

Experienced

$160,000

Job Outlook: 28.5%

The demand for Azure AI Engineers is driven by the increasing adoption of AI technologies across various industries. Companies are investing in AI to enhance efficiency and innovation, leading to a robust job market for skilled professionals. The growth is further fueled by advancements in cloud computing and machine learning.

Tech CompaniesConsulting Firms

Exam Information

The Azure AI Engineer Associate exam assesses the ability to implement AI solutions using Azure services. Candidates should expect a written test covering AI solution requirements, design, and implementation. Preparation involves studying Azure AI concepts and hands-on practice.

AI-102: Designing and Implementing an Azure AI Solution

Administered by Microsoft • Fee: $165 USD

Written test
62-85 questions180 minutesPassing: 700 on a scale of 1000
Retake policy: If failed, the candidate can retake the exam after 24 hours for the first retake. Subsequent retakes require a 14-day waiting period.

Industry Insights

Data from Bureau of Labor Statistics & O*NET

Azure AI Engineer Associates Poised for Growth Amid Tech Evolution

Current Employment

Projected

Growth Rate

+3.1%

New Positions

What's Driving Demand

The growth in Azure AI Engineer positions is driven by the widespread adoption of cloud technologies and the increasing reliance on AI-powered solutions to drive business efficiencies.

Technological advancementsIncreased adoption of cloud servicesGrowing demand for AI solutions

Over the next decade, the Azure AI Engineer Associate profession is expected to witness a significant transformation, shaped by advances in AI and changing demographics. With a moderate projected growth rate of 3.1% from 2024 to 2034, the sector will see an addition of over 5 million jobs. This growth, while modest, highlights the increasing reliance on technology across industries. As AI becomes more integrated into everyday business processes, Azure AI Engineers will find their roles evolving, demanding a deeper engagement with AI tools to remain competitive. Demographic shifts and policy changes will further influence the demand for skilled AI professionals, making this a critical time for individuals considering this career path.

Long-Term Outlook

AI & Automation

medium disruption risk

While AI presents a risk of automating certain routine tasks traditionally performed by Azure AI Engineers, it also offers significant opportunities. Engineers who master AI tools for predictive analytics and automation can enhance their productivity and value. Embracing these changes is essential for career longevity.

Many of these changes are already in progress and will continue to evolve over the next decade.

Demographics

An aging global population and shifts towards digital solutions in developing economies are increasing the demand for advanced AI solutions, which in turn boosts the need for skilled AI engineers.

Key factor: Global digital transformation

Policy & Regulation

Government policies promoting digital transformation and privacy regulations like GDPR are reshaping the landscape, requiring Azure AI Engineers to stay updated with compliance and data handling standards.

Digital transformation incentivesData privacy regulations

Industry Shifts

The industries employing Azure AI Engineers are witnessing rapid consolidation and an increasing shift towards SaaS models, which amplifies the demand for cloud-integrated AI solutions.

SaaS integration servicesCompliance automation tools

Top Skills

Machine Learning

85/100

Natural Language Processing

80/100

Predictive Analytics

78/100

Bottom Line

For those interested in a career at the forefront of technology, becoming an Azure AI Engineer Associate offers a promising path. However, continuous learning and adaptation to new AI tools and regulations are essential to thrive in this evolving field.

State-by-State Variations

Azure AI Engineer Associate requirements do not vary by state, as they are standardized globally by Microsoft.

Most Strict

Most Accessible

Reciprocity: Reciprocity does not apply as the certification process is uniform worldwide.

Renewal Requirements

The Azure AI Engineer Associate certification requires renewal to ensure professionals stay current with the latest Azure AI technologies and practices. Renewal is mandatory every two years, emphasizing the importance of up-to-date skills in a rapidly evolving tech environment.

Renewal Period

every 2 years

Renewal Cost

Free

CE Hours

Not specified

CE Topics: Azure AI solutions, Machine Learning on Azure

Late renewal may result in having to retake the certification exam.

Get Started

Ready to pursue Azure AI Engineer Associate? Find programs, connect with counselors, and explore your options.

Talk to a Counselor

Get personalized guidance on your certification path

Want to Talk to a Career Counselor?

Get personalized guidance on training programs, licensing requirements, and career opportunities.

No spam. Your information is secure.

Are You a Training Provider?

List your programs on CredentialGuide and connect with students actively researching training options in your area.

List Your Program