AI-103: Azure AI Apps and Agents Developer Associate

About this course

This course contains the use of artificial intelligence.AI-103: Azure AI Apps and Agents Developer Associate, is a meticulously structured Udemy course aimed at IT professionals seeking to pass the AI-103 exam. This course systematically walks you through the initial setup to advanced implementation with real-world applications.By passing AI-103: Azure AI Engineer Associate, you're gaining proficiency in the highly recognized Microsoft AI ecosystem.The course is always aligned with Microsoft's latest study guide and exam objectives:Choose the appropriate Foundry services for generative AI and agentsChoose an appropriate model for each task, including large language models (LLMs), small language models, multimodal models, and Foundry ToolsChoose the appropriate Foundry services for generative tasks, grounding, vector search, agent workflows, or multimodal processingChoose an appropriate method for retrieval and indexingChoose appropriate memory, tool, and knowledge integration services for agent solutionsSet up AI solutions in FoundryDesign Azure infrastructure for AI apps and agent-based solutionsChoose appropriate deployment optionsConfigure model and agent deploymentsIntegrate Foundry projects with continuous integration and continuous deployment (CI/CD) pipelinesManage, monitor, and secure AI systemsManage quotas, scaling, rate limits, and cost footprints for model and agent workloadsMonitor model performance, drift, safety events, and grounding qualityMonitor data ingestion quality, search index health, and relevance performanceConfigure security, including managed identity, private networking, keyless credentials, and role policiesImplement responsible AI across generative

Course objectives

• choose appropriate Foundry services for generative tasks
• configure model and agent deployments
• integrate Foundry projects with CI/CD pipelines
• implement responsible AI practices