Practical Workflow Automation with AI Agents and Multi-Agent Systems

Learn to automate business workflows by building autonomous single- and multi-agent systems from the ground up. You will write foundational Python scripts, integrate APIs, orchestrate coordinated agent teams, and implement human oversight to handle real-world tasks reliably.

  • Principiante
  • Unas 5,5 horas
  • English
  • 5 módulos
  • 10 lecciones
  • 19 preguntas de cuestionario
Nuevo
Creado por Learnvoro Labs
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Lo que aprenderás

  • Write foundational Python scripts to parse JSON payloads and request external web services via REST APIs.
  • Construct structured prompts that guide large language models to reliably trigger external tools for single-agent tasks.
  • Build sequential multi-agent pipelines where task outputs hand off predictably from one specialized agent to the next.
  • Design hierarchical agent delegations where a coordinator agent assigns subtasks to specialized subordinate agents.
  • Implement basic state and memory mechanisms to preserve context across multiple workflow interactions.
  • Apply automated error-handling routines and human-in-the-loop approval gates to catch failures and verify critical actions.

Cómo aprenderás

  • Lecciones paso a paso10 lecciones
  • Diagramas visualesIdeas hechas visibles
  • Lectura en profundidad
  • Comprobaciones de conocimientos19 preguntas de cuestionario

Requisitos previos

  • Basic computer literacy, including file management and software installation.
  • Familiarity with using standard web-based AI chat interfaces.

Para quién es este curso

  • Working professionals and adult career-switchers seeking to automate daily business tasks by learning the fundamentals of building collaborative AI agent workflows.

Contenido de un curso

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