Diseñe agentes de IA con OpenAI AgentKit.

Resumen

This course explores how to design and build intelligent, reasoning-based AI agents using OpenAI tools, combining structured reasoning, function calling, memory, and communication to create dynamic, context-aware systems. Designed for developers and AI enthusiasts who want to go beyond prompt engineering, it demonstrates how modern agent frameworks like AgentKit and the Model Context Protocol (MCP) enable agents to reason, plan, and act autonomously using context, tools, and collaboration.

Through guided lessons and hands-on demonstrations, you’ll learn to set up your development environment, integrate OpenAI’s APIs, and design reasoning-driven workflows that mimic human-like problem solving. You will explore how agents use planning, reflection, and self-correction, implement function calling and tool use, manage short- and long-term memory, and establish agent-to-agent communication for collaborative decision-making.

The course culminates in building a fully functional reasoning agent system with a Streamlit-based UI, integrating prompts, memory, tools, and communication into one cohesive framework. By the end of this course, you will be able to:

- Explain the anatomy of intelligent agents, including reasoning, memory, tools, and context. - Set up the OpenAI API, configure environment variables, and initialize AgentKit for agent development. - Design and implement structured reasoning workflows using prompts and reflection-based logic. - Integrate function calling and tool registration for agents to perform dynamic tasks autonomously. - Add short-term and contextual memory for improved continuity and understanding across sessions. - Build multi-agent communication systems using the Model Context Protocol (MCP). - Develop and deploy an interactive reasoning agent application using Streamlit.

This course is ideal for software developers, data scientists, and AI practitioners who want to build autonomous, reasoning-powered applications using OpenAI’s ecosystem. A working knowledge of Python and basic familiarity with APIs or AI models will be helpful, but no prior experience with agent frameworks is required.

Join us to master the next generation of AI development — and learn how to transform models into intelligent, context-aware agents that think, plan, and communicate like real collaborators!

Programa

• Fundamentos de los Agentes Inteligentes
Aprende los principios básicos detrás de los agentes inteligentes, explora cómo el razonamiento, la memoria y el contexto determinan su comportamiento, y configura tu primer entorno de trabajo con AgentKit.
• Desarrollo de la Inteligencia Central del Agente
Desarrolla las habilidades de razonamiento de tu agente diseñando indicaciones estructuradas, integrando herramientas y memoria, y creando una línea de razonamiento cohesiva capaz de resolver problemas en múltiples pasos.
• Integración y Despliegue Avanzado
Da vida a tu agente a través de la integración del sistema, la optimización y el despliegue: diseña la arquitectura, prueba el rendimiento y lanza una interfaz interactiva con Streamlit.

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Impartido por

Edureka

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Materias

Artificial Intelligence