Azure AI Engineer Associate

Select the appropriate Azure AI service for a given requirement (Cognitive Services vs custom models).

Plan and configure security for Azure AI services (key management, network isolation, private endpoints).

Monitor Azure AI services (metrics, diagnostics, alerts, Azure Monitor integration).

Manage costs for Azure AI services and optimize resource utilization.

Create and configure a content moderation workflow using Azure Content Safety.

Implement image and text moderation with threshold configuration and human review workflows.

Analyze images using Azure AI Vision (object detection, image classification, OCR, face analysis).

Implement custom computer vision solutions using Custom Vision service.

Implement video analysis and indexing with Azure Video Indexer.

Extract text from images and documents using OCR and Document Intelligence.

Analyze text using Azure AI Language (sentiment, key phrases, entities, language detection).

Build a custom text classification and NER model with Azure AI Language.

Implement conversational AI using Azure AI Language (CLU, QnA Maker replacement).

Build and configure a bot using Azure AI Bot Service and Bot Framework SDK.

Implement an Azure AI Search solution with indexers, skillsets, and semantic ranking.

Implement document intelligence solutions using Azure AI Document Intelligence pre-built and custom models.

Create enrichment pipelines with custom skills and knowledge stores.

Use Azure OpenAI Service to generate content (completions, chat completions, embeddings).

Implement prompt engineering techniques (few-shot, chain-of-thought, RAG patterns).

Build RAG (Retrieval-Augmented Generation) solutions using Azure AI Search and Azure OpenAI.

Configure and deploy Azure OpenAI models (model selection, content filters, responsible AI settings).

Implement Semantic Kernel or LangChain integrations for AI orchestration.