Explore Our Courses

Secure and Compliant Agent Workflows with CrewAI

 14 Hours
This instructor-led, live training in Brazil (online or onsite) is aimed at advanced-level professionals who wish to build secure and compliant agent workflows using CrewAI in enterprise environments.By the end of this training, participants will be able to:
  • Design secure and auditable workflows involving multiple agents.
  • Implement data privacy strategies within autonomous systems.
  • Integrate logging, governance, and compliance mechanisms.
  • Deploy and monitor secure CrewAI-based systems in production environments.
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Building Intelligent Business Agents with CrewAI

 14 Hours
This instructor-led, live training in Brazil (online or onsite) is aimed at intermediate-level business and AI professionals who wish to create intelligent, domain-specific business agents using CrewAI.By the end of this training, participants will be able to:
  • Understand the architecture of CrewAI and its relevance in business use cases.
  • Create business-oriented agents using roles, tools, and memory.
  • Build agent crews that collaborate to perform business workflows.
  • Apply CrewAI in practical scenarios such as finance, marketing, and customer support.
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CrewAI for Enterprise Automation

 14 Hours
This instructor-led, live training in Brazil (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to scale CrewAI systems, integrate with enterprise tools, and deploy automation solutions in production environments.By the end of this training, participants will be able to:
  • Design scalable multi-agent systems using CrewAI.
  • Integrate agents with enterprise tools like Slack, databases, and APIs.
  • Implement monitoring, logging, and diagnostics for agent behavior.
  • Deploy, manage, and scale CrewAI solutions in production environments.
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Designing Multi-Agent Systems with CrewAI

 14 Hours
This instructor-led, live training in Brazil (online or onsite) is aimed at advanced-level professionals who wish to design and implement custom multi-agent systems using CrewAI with complex workflows, event triggers, and tool integrations.By the end of this training, participants will be able to:
  • Design and build custom AI agents with specialized roles and tools.
  • Implement complex, event-driven multi-agent task flows.
  • Integrate external APIs and data pipelines within a CrewAI system.
  • Optimize coordination, error handling, and execution efficiency of multi-agent systems.
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CrewAI for Workflow Automation

 14 Hours
This instructor-led, live training in Brazil (online or onsite) is aimed at intermediate-level professionals who wish to automate business and technical workflows using CrewAI through real-world use cases and tool integrations.By the end of this training, participants will be able to:
  • Understand the architecture and core principles of CrewAI.
  • Design workflows involving multiple collaborating agents.
  • Integrate CrewAI with APIs, tools, and external systems.
  • Implement and orchestrate real-world automation use cases.
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Getting Started with CrewAI

 7 Hours
This instructor-led, live training in Brazil (online or onsite) is aimed at beginner-level professionals who wish to explore the fundamentals of CrewAI and build simple multi-agent systems.By the end of this training, participants will be able to:
  • Understand the architecture and design principles of CrewAI.
  • Define roles, tasks, and flows within a crew of agents.
  • Create collaborative workflows using CrewAI's framework.
  • Build, test, and run basic multi-agent scenarios.
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Upcoming Courses

CrewAI for Workflow Automation

2025-05-26 09:30
14 hours
Online
$ 20883 (Online)

Secure and Compliant Agent Workflows with CrewAI

2025-06-09 09:30
14 hours
Online
$ 20883 (Online)

CrewAI for Enterprise Automation

2025-06-23 09:30
14 hours
Online
$ 20883 (Online)

Secure and Compliant Agent Workflows with CrewAI

2025-07-07 09:30
14 hours
Online
$ 20883 (Online)

Designing Multi-Agent Systems with CrewAI

2025-07-21 09:30
14 hours
Online
$ 20883 (Online)

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