Designing and Implementing a Microsoft Azure AI Solution

Exam Code: AI-102

The Designing and Implementing a Microsoft Azure AI Solution certification validates your ability to build, manage, and deploy AI solutions using Azure AI services. This exam measures your skills in designing AI workloads, implementing Azure AI solutions, managing security, and integrating AI services into applications.

Exam Breakdown
Domain Breakdown
Access Breakdown

Exam Format

Exam Code: AI‑102
Level: Associate-level certification (Azure AI Engineer Associate)
Duration: 100 minutes (actual exam time)
Passing Score: 700 out of 1,000 (scaled)
Unscored Content: Some questions may be unscored (used for metric purposes) and not identified individually

Exam Details

Question Types: Multiple-choice, drag-and-drop, case studies, and performance-based scenarios
Number of Questions: Approximately 50–60 questions, including case studies
Hands‑On Questions: No traditional labs; scenario-based questions may simulate practical tasks with access to Microsoft Learn during the exam

Exam Policies

Exam Provider: Pearson VUE
Rescheduling/Cancellation: Must be completed at least 24 hours before the scheduled exam time
Waiting Period: 24 hours after first failure; 14 days after second and subsequent failures (maximum five attempts in 12 months)
Retake Fee: Full exam fee must be paid for each retake

Validity

Certification Validity: Expires annually; to renew, pass a free online assessment via Microsoft Learn
Renewal Options: Free renewal assessment on Microsoft Learn platform

Exam Fee

Base Fee:

India – 4865 INR
Europe – 126 EUR
Middle East – 83 USD
USA – 165 USD (excluding taxes; fees may vary by country)
Taxes: Country-specific GST/VAT may apply.
Example: In India, an 18% tax applies, making the total 5740 INR (4865 INR + 857 INR tax).

Prerequisites

There are no formal prerequisites for AI-102. However, Microsoft recommends:

Experience with Azure services
Knowledge of AI concepts and machine learning fundamentals
Proficiency in programming (Python or C# preferred)
Familiarity with REST APIs and SDKs

Exam Topics

The AI‑102 exam is structured into six key domains with approximate weights:

Plan and manage Azure AI solutions
Implement generative AI solutions
Implement natural language processing solutions
Implement computer vision solutions
Implement knowledge mining and AI search solutions

Intended Audience

This certification is ideal for:

Azure AI Engineers
Software developers building AI-infused applications using Azure’s cognitive and AI services
Professionals integrating AI into production applications using Python, C#, REST APIs, SDKs, and adhering to responsible AI principles

Career Impact

Jobs You Can Get:

Jobs You Can Get: Azure AI Engineer, AI Developer, Machine Learning Engineer, AI Solutions Architect
Average Salary: Varies by country — U.S.: $110,000–$150,000 USD, India: ₹10,00,000–₹25,00,000 INR, United Kingdom: £55,000–£85,000 GBP, UAE: 180,000–300,000 AED per year.
Why It’s Valuable: Validates hands-on expertise in deploying enterprise-grade AI applications using Azure’s AI services, which are widely adopted across industries.

Exam Mode

The exam is proctored and can be taken either:

In-person at authorized Pearson VUE test centres
Online through Pearson VUE’s online proctoring system

Exam Booking Link

Book your AI-102 exam via Microsoft Certification — Click here (https://learn.microsoft.com/certifications/)

Once you pass the exam

Download your certification from the Microsoft Certification Dashboard
Processing Time: Certification status typically updates within 24 hours
Log in to your Microsoft Learn profile
Navigate to the Certifications section
Download your certificate (PDF format)

Offers

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Top Reasons to Choose
Designing and Implementing a Microsoft Azure AI Solution

High Demand for Enterprise AI Implementation Skills

Organizations are rapidly adopting Azure AI services to build intelligent applications. AI-102 validates your ability to design, deploy, and manage scalable AI solutions in enterprise cloud environments.

Strong Focus on Real-World AI Integration

The exam emphasizes integrating cognitive services, generative AI, search solutions, and computer vision into applications—core skills required for deploying production-ready AI systems securely and efficiently.

Career Growth and AI Specialization

As an official Microsoft Associate-level certification, AI-102 strengthens professional credibility and supports advancement into AI engineering, cloud AI architecture, and enterprise AI solution development roles globally.

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FAQ

How difficult is the AI-102 exam?

The AI-102 exam is considered intermediate and requires hands-on experience with Azure AI services. It includes scenario-based questions testing real-world implementation of NLP, computer vision, generative AI, and search solutions. Practical lab experience significantly improves exam readiness.
Who should take the AI-102 exam?

The AI-102 exam is ideal for AI engineers and developers who design and implement Azure AI solutions. Candidates typically have experience working with Azure AI services, REST APIs, and SDKs, and are responsible for building, managing, and monitoring AI-driven applications in cloud environments.
Why does Microsoft offer the AI-102 certification?

Microsoft offers AI-102 to validate skills required to implement AI solutions using Azure AI services. As enterprises adopt AI-driven technologies, professionals must demonstrate the ability to deploy secure, scalable, and production-ready AI applications in cloud environments.
What resources can be used to prepare for AI-102?

Candidates can prepare using Microsoft Learn learning paths, official Azure AI documentation, hands-on labs, and practice assessments. Experience working with Azure OpenAI Service, Cognitive Services, and Azure AI Search is strongly recommended.
Is the AI-102 certification valuable in 2026?

Yes, AI-102 remains highly valuable in 2026 as AI adoption accelerates across industries. Organizations increasingly require professionals who can implement and manage AI solutions securely and efficiently using Microsoft Azure technologies.