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Learning Azure Ecosystem
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Module 8
Application Innovation: AI and ML Services
1
Azure OpenAI: Models, Deployment & Usage Patterns
Describe Azure OpenAI Service models, deployment options, and common usage patterns like chat and completions.
2
Azure AI Services: Integrating Pre-built Models
Explain the capabilities of Azure AI Services (formerly Cognitive Services) for integrating pre-built vision, language, and speech models.
3
Azure ML for MLOps
Evaluate the role of Azure Machine Learning in orchestrating the end-to-end machine learning lifecycle.
Pre-built vs. Custom AI: Architectural Trade-offs
Compare the architectural trade-offs between using pre-built AI services versus training custom models for a given problem.
5
RAG with Azure AI Search and Azure OpenAI
Explain the Retrieval-Augmented Generation (RAG) pattern using Azure AI Search and Azure OpenAI to ground models in custom data.
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Application Architecture: Messaging and Events
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Platform Engineering: DevOps and Infrastructure as Code