Microsoft Azure AI Engineer Associate

C
By Certalyze Editorial Team Research & Analysis
Reviewed by Certalyze Review Board Updated 2025-01-15
data-analytics Associate Updated: 2025-01-15 Methodology

The Microsoft Azure AI Engineer Associate (AI-102) validates expertise in designing and implementing AI solutions using Azure Cognitive Services, Azure Bot Service, and Azure Machine Learning. It covers planning and managing AI solutions, implementing computer vision and NLP solutions, building conversational AI, and integrating knowledge mining capabilities into real-world applications.

$130K
Avg Salary
65%
Pass Rate
18.0K
Job Listings
80h
Study Time
$165
Exam Cost

Is the Microsoft Azure AI Engineer Associate Worth It?

Strengths

  • Strong earning potential with an average salary of $130,000
  • Good job market demand with 18.0K active listings

Considerations

  • Moderate difficulty (7/10) — plan for focused study time
  • Has prerequisites — not suitable for complete beginners

Bottom line: At $165 exam cost with an average salary of $130,000, the Microsoft Azure AI Engineer Associate offers a strong return on investment for data-analytics professionals.

Who Should Get the Microsoft Azure AI Engineer Associate?

This certification is a good fit if you are:

  • Professionals with 1-3 years of data-analytics experience looking to advance
  • IT practitioners seeking vendor-specific validation of their skills
  • Anyone targeting roles that list Microsoft Azure AI Engineer Associate as preferred or required

This certification is a key step on the Machine Learning Engineer career path.

Exam Details

Exam CodeAI-102
Exam Cost$165 USD
Duration120 minutes
Questions40-60
Passing Score700/1000
ProviderMicrosoft
Difficulty7/10

Salary Data

Professionals holding the Microsoft Azure AI Engineer Associate certification earn between $105,000 and $160,000 annually, with an average of $130,000. For context, the Google Cloud Professional Machine Learning Engineer averages $150,000.

Job market demand trend: Growing

Prerequisites

  • Experience with Azure services
  • Python or C# knowledge
  • Understanding of ML concepts

Skills Covered

Azure Cognitive ServicesAzure Bot ServiceAzure Machine LearningComputer VisionNatural Language ProcessingKnowledge MiningResponsible AI

Best Study Resources

Official

Microsoft Learn — AI-102 Learning Path (Official)

 Course

Pluralsight — Azure AI Engineer Path

 Practice Exams

MeasureUp Practice Exams — AI-102

 Documentation

Azure AI Services Documentation

Career Paths With Microsoft Azure AI Engineer Associate

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Frequently Asked Questions

Is the Azure AI Engineer Associate certification worth it?
Yes. With 18,000+ job listings and an average salary of $130,000, it's a strong credential for professionals building AI solutions on Azure. As enterprises increasingly adopt Azure AI services, demand for certified engineers continues to grow.
How hard is the AI-102 exam?
It's moderately challenging with an estimated pass rate of 65%. The exam requires hands-on knowledge of Azure Cognitive Services, Bot Framework, and practical implementation of AI solutions. Candidates with Azure experience typically find it manageable with 80 hours of focused study.
What programming languages do I need for AI-102?
The exam primarily tests Python and C# for implementing Azure AI solutions. You should be comfortable writing code that interacts with Azure Cognitive Services APIs, builds bot dialogs, and processes AI model outputs.
What's the difference between AI-102 and AI-900?
AI-900 (Azure AI Fundamentals) is an entry-level certification covering basic AI concepts and Azure AI services. AI-102 is the associate-level engineering certification requiring hands-on implementation skills. AI-900 is a good starting point but not a prerequisite for AI-102.
How much does the Microsoft Azure AI Engineer Associate exam cost?
The Microsoft Azure AI Engineer Associate exam costs $165 USD. Additional costs may include study materials and practice exams, typically $50-$300. Some employers offer certification reimbursement programs that can offset this cost.

Explore other options in data-analytics: Google Cloud Professional Machine Learning Engineer, AWS Machine Learning Specialty, and more in our Data & Analytics Certifications hub.

Data Sources & Transparency

  • Salary data — Bureau of Labor Statistics, Glassdoor, and job posting aggregates (US median)
  • Job listings — LinkedIn, Indeed, and Dice active postings (sampled quarterly)
  • Pass rates — Community-reported estimates from Reddit, TechExams, and certification forums
  • Exam details — Microsoft official certification documentation
Last reviewed: 2025-01-15 Our Methodology Editorial Standards