AI-102: Designing and Implementing a Microsoft Azure AI Solution
Build, manage, and deploy AI solutions that leverage Azure AI Services, Azure OpenAI, computer vision, natural language processing, speech synthesis, and knowledge mining with Azure AI Search.
Official Exam Specification & Quick Facts
Question Difficulty Breakdown
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Exam Guidelines & Simulation Rules
Frequently Asked Questions (FAQ)
The AI-102 exam consists of 45-60 scenario, API configuration, and coding questions within 120 minutes. Cost is $165 USD with a passing threshold of 700/1000 (70%).
Domains include: (1) Plan and manage an Azure AI solution (~15-20%), (2) Implement content moderation and computer vision (~20-25%), (3) Implement natural language processing (~20-25%), (4) Implement knowledge mining and document intelligence (~15-20%), and (5) Implement generative AI solutions with Azure OpenAI (~20-25%).
Azure OpenAI provides REST API access to OpenAI's advanced models (GPT-4o, GPT-4 Turbo, DALL-E 3, Embeddings) backed by Azure enterprise security, private networking, data governance, and role-based access control.
RAG grounds LLM generation on private enterprise knowledge. Azure AI Search indexes enterprise data using hybrid search (vector embeddings + keyword BM25 + semantic reranking) to supply accurate retrieved context to the model.
Document Intelligence uses prebuilt and custom machine learning models to automatically extract text, key-value pairs, tables, and document structures from invoices, receipts, IDs, and tax forms.
Azure AI Content Safety analyzes user inputs and generated outputs to detect and block hate speech, violence, self-harm, sexual content, and prompt injection attacks in real time.
Azure Computer Vision provides pre-trained models for generic object detection and OCR. Azure AI Custom Vision allows developers to train custom image classification and object detection models using a small set of labeled domain images.
Azure AI Speech provides Speech-to-Text (speech recognition and transcription), Text-to-Speech (neural voice synthesis), Speech Translation, and Speaker Recognition across hundreds of languages.
Azure AI Language includes Conversational Language Understanding (CLU), Question Answering, Sentiment Analysis, Named Entity Recognition (NER), and Key Phrase Extraction.
Managed Identities allow applications to obtain OAuth 2.0 access tokens from Microsoft Entra ID to authenticate to Azure AI endpoints without storing subscription access keys in code.
AI-102 is valid for one year and renewable annually for free through Microsoft Learn.
AI-102 certifies Azure AI Engineers, Machine Learning Developers, and Generative AI Architects earning average US salaries between $135,000 and $180,000.