Agentes de H2O.ai: De la Teoría a la Práctica

Resumen

H2O.ai Agents :

From Theory to Practice is a comprehensive course that bridges theoretical understanding with practical implementation, guiding learners through the complete lifecycle of AI agents. You will start with core concepts by understanding the fundamental architecture of AI agents, how they combine large language models (LLMs), tools, and memory to create autonomous workflows.

Discover what sets h2oGPTe apart as we showcase its record-breaking performance on the GAIA benchmark, outperforming Google by 15% in reasoning, tool use, and multimodal capabilities. The course transitions from theory to application through hands-on demonstrations across diverse industries.

Throughout the course, you’ll gain hands-on exposure to:

• The foundational architecture of AI agents within h2oGPTe • How generative and predictive AI combine to drive decision-making • Key benchmarks like GAIA that demonstrate agent performance • Deployment caveats, safety guardrails, and real-world considerations By the end, you’ll not only understand how AI agents work, but also how to implement and scale them for meaningful impact. Whether you’re curious about the future of AI or ready to build with it, this course will prepare you to move from theory to practice.

Programa

• Fundamentos de los Agentes de IA
• Arquitectura y Ejecución de Agentes de IA en H2O.ai
• Aplicaciones Reales de los Agentes de IA
• Recapitulación Final, Mejores Prácticas y Próximos Pasos
• Cuestionario de Finalización del Curso

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Impartido por

H2O.ai University

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Materias

Computer Science