[NEW] Microsoft Certified Azure AI Engineer Associate

About this course

Detailed Exam Domain Coverage

Plan and manage an Azure AI solution (15%)Azure AI resource provisioning and multi-service deployments

Security, enterprise networking, and access control (RBAC, private endpoints)Monitoring, logging, and cost management across AI workloads

Implement content moderation solutions (10%)Azure AI Content Safety text and image analysis

Custom categories, blocklists, and severity thresholds

Policy enforcement for toxic or unsafe user-generated content

Implement computer vision solutions (15%)Custom Vision service training, evaluation, and deployment

Image analysis, object detection, and spatial analysis

Face API integration and Optical Character Recognition (OCR) engines

Implement natural language processing solutions (35%)Azure OpenAI Service deployments (GPT models, embedding architectures)Azure AI Search text indexing, tokenization, and multi-language support

Text Analytics, Named Entity Recognition (NER), and legacy LUIS migration paths

Implement knowledge mining and information extraction solutions (10%)Azure AI Search indexers, data ingestion pipelines, and custom skillsets

Document Intelligence pipelines for structured and unstructured forms

Training and deploying custom extraction models

Implement generative AI solutions (15%)Enterprise Azure OpenAI orchestration (GPT-4, DALL-E, embeddings)Advanced prompt engineering methodologies and fine-tuning workloads

Retrieval-Augged Generation (RAG) architectural patterns and groundings

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