Arquitectura de soluciones de IA para la productividad empresarial

Resumen

Learn how to align AI solutions with business goals, scale AI adoption, and use Microsoft AI technologies for enterprise success.After completing this module, you will be able to:

Explain the architect's role in driving AI adoption and transformation. Identify key responsibilities of an AI architect in business contexts.

Understand how architects align AI solutions with organizational goals. Apply best practices for scaling AI across enterprise environments.

Identify core Microsoft AI services and tools. Explore Microsoft Copilot solutions and their business value.

Understand how generative AI unlocks productivity in enterprise environments. Identify OOB Microsoft AI agent resources available for business solutions.

Learn to analyze, design, and implement AI-powered business solutions using agents, generative AI, and Microsoft Copilot for productivity.After completing this module, you will be able to:

Explain how AI agents support task automation, data analytics, and decision-making. Describe the role of Microsoft Copilot and generative AI in enhancing productivity.

Assess scenarios where AI agents add measurable value to enterprise environments. Evaluate grounding data quality across accuracy, relevance, timeliness, cleanliness, and availability.

Organize business solution data for AI readiness and scalable consumption.

Programa

• Introducción a las soluciones empresariales de IA agenteIntroducciónImpulsar la transformación de IA con estrategias arquitectónicasExplorar las tecnologías de IA de Microsoft para empresasIdentificar las tecnologías de IA de Microsoft para soluciones empresarialesIdentificar recursos de agentes de IA de Microsoft preconfigurados para soluciones empresarialesIdentificar agentes de IA de Microsoft preconfigurados para empresasEvaluación del móduloResumen
• Analizar los requisitos para soluciones empresariales impulsadas por IAIntroducciónEvaluar el uso de agentes en la automatización de tareas, análisis de datos y toma de decisionesRevisar datos para asegurar precisión, relevancia, actualidad, limpieza y disponibilidadOrganizar datos de soluciones empresariales para sistemas de IAEvaluación del móduloResumen

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Materias

Artificial Intelligence