CrewAI Training in Dartmouth

This instructor-led, live training in Dartmouth (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 Dartmouth (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 Dartmouth (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 Dartmouth (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.

This instructor-led, live training in Dartmouth (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.

This instructor-led, live training in Dartmouth (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.