Microsoft Azure AI Engineer Associate
The Microsoft Azure AI Engineer Associate (AI-102) certification validates expertise in building, managing, and deploying AI solutions using Azure AI Services, Azure OpenAI Service, and Azure AI Search. Candidates design AI solutions that leverage natural language processing, computer vision, speech, document intelligence, and generative AI. This certification is ideal for developers and engineers integrating AI capabilities into enterprise applications on Azure.
What is the Microsoft Azure AI Engineer Associate (AI-102) Certification?
The Microsoft Azure AI Engineer Associate (AI-102) certification validates expertise in building, managing, and deploying AI solutions using Azure AI Services, Azure OpenAI Service, and Azure AI Search. Candidates design AI solutions that leverage natural language processing, computer vision, speech, document intelligence, and generative AI. This certification is ideal for developers and engineers integrating AI capabilities into enterprise applications on Azure.
Who Should Take This Course?
- Software developers integrating Azure AI services into applications
- AI engineers designing and deploying cognitive service solutions
- Cloud architects planning AI-powered enterprise applications
- Data scientists building NLP and computer vision solutions on Azure
- Full-stack developers adding AI capabilities to web and mobile apps
- Consultants delivering AI transformation projects on Azure
What You Will Learn in the AI-102 Course
A comprehensive curriculum covering all exam objectives with hands-on labs and real-world practice.
Plan and Manage Azure AI Solutions
Provision and manage Azure AI services, security, and monitoring.
- Azure AI Services — multi-service accounts and regional provisioning
- Authentication — API keys, managed identities, and Azure AD
- Azure AI resource monitoring — diagnostic logs and metrics
- Responsible AI principles — fairness, reliability, privacy, and inclusiveness
- Cost management for AI workloads on Azure
Implement Natural Language Processing Solutions
Build text analytics, translation, and language understanding solutions.
- Azure AI Language — sentiment analysis, entity recognition, and summarization
- Custom text classification and custom named entity recognition
- Azure AI Translator — real-time and document translation
- Question Answering and conversational language understanding (CLU)
- Azure OpenAI Service — GPT models, embeddings, and prompt engineering
Implement Computer Vision Solutions
Analyze images, video, and documents using Azure Vision services.
- Azure AI Vision — image analysis, object detection, and OCR
- Custom Vision — classification and object detection model training
- Face API — detection, recognition, and facial attributes
- Azure AI Video Indexer — video content analysis and insights
- Azure AI Document Intelligence — form recognition and layout analysis
Implement Knowledge Mining and Generative AI Solutions
Build search-augmented and generative AI applications on Azure.
- Azure AI Search — indexing, skillsets, and semantic ranking
- Integrated vectorization and hybrid search patterns
- Retrieval-Augmented Generation (RAG) with Azure OpenAI and AI Search
- Azure AI Studio — building and deploying generative AI solutions
- Azure Bot Service — building multi-channel conversational AI bots
Course Prerequisites
Pre-requisites training is free when you purchase the course from ProSupport
- Proficiency in C#, Python, or JavaScript for AI service integration
- Azure Fundamentals (AZ-900) or equivalent Azure knowledge
- Basic understanding of REST APIs and HTTP-based service consumption
- Familiarity with machine learning concepts — classification, regression, NLP
- Azure AI Fundamentals (AI-900) recommended but not required
- Experience with JSON data structures and API authentication patterns
Exam Information
Everything you need to know about the AI-102 certification exam.
| Exam Component | Details |
|---|---|
Exam Name | Designing and Implementing a Microsoft Azure AI Solution |
Exam Code | AI-102 |
Exam Type | Multiple Choice, Case Studies, Drag-and-Drop, Active Screen |
Total Questions | 40–60 |
Passing Score | 700 (out of 1000) |
Exam Duration | 100 minutes |
Language | English, Japanese, Chinese (Simplified), Korean, Spanish, German, French, Portuguese (Brazil) |
Exam Provider | Microsoft / Pearson VUE |
Exam Focus | Planning, implementing, and managing Azure AI, NLP, Vision, and generative AI solutions |
Exam Registration | Register at microsoft.com/en-us/learning or via Pearson VUE testing centers |
Retake Policy | 24 hours before first retake; 14 days before subsequent retakes; 5 attempts per year |
Certification Validity | 1 year — renewable via free online renewal assessment on Microsoft Learn |
Exam Topics
Training Plans
Select the plan that matches your career goals
Basic
Certification Program
- Certification syllabus training
- Private instructor-led live classes
- Hands-on labs
- Practice exams
- Certification exam guidance
Pro
Certification + Projects
- Everything in Basic
- Real-world industry projects
- Case studies
- GitHub portfolio project
- Assignment reviews
- Capstone mini project
Premium
Career Acceleration
- Everything in Pro
- Resume building
- LinkedIn profile optimization
- Interview preparation
- Mock interviews
- Career mentoring sessions
- Capstone project
- Certification exam strategy
- Industry use-case training
Need custom enterprise pricing? info@prosupportconsulting.in
Learning Path
Your certification journey — from prerequisites to advanced roles.
Azure AI Engineer Associate (AI-102)
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