Online or onsite, instructor-led live CrewAI training courses demonstrate through interactive hands-on practice how to use CrewAI to build and orchestrate multi-agent AI systems for collaborative task execution and automation.
CrewAI training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Guatemala City onsite live CrewAI trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Guatemala - Europlaza
5a Avenue 5-55 Zone 14, Guatemala City, Guatemala, 1014
The Guatemala Europlaza Center is located on the second floor of one of the four modern 19-story towers that form the Europlaza World Business Center. The Guatemala Europlaza Center is convenient for public transport connections, including the new Transmetro bus system introduced to improve traffic flow, and the city Center is just 10 minutes away.
Guatemala - Citibank Tower
3r avenue 13-78, zone 10 , Guatemala City, Guatemala, 01010
Experience convenient access to Citibank Tower via public transportation or by car, with on-site parking available. Additionally, relish seamless international travel with the airport a mere 15-minute drive from the tower.
This instructor-led, live training in Guatemala City (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.
This instructor-led, live training in Guatemala City (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.
This instructor-led, live training in Guatemala City (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.
This instructor-led, live training in Guatemala City (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.
This instructor-led, live training in Guatemala City (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.
This instructor-led, live training in Guatemala City (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.
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