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Course Outline
Introduction to CrewAI and Business Agents
- What is CrewAI and why use it for business automation
- Understanding agents, roles, tools, memory, and crew orchestration
- Overview of business agent use cases
Designing Domain-Specific Agents
- Creating custom roles and objectives for business domains
- Designing finance, marketing, and operations agents
- Using tools for data lookup, analysis, and content generation
Building and Running Agent Crews
- Collaborative workflows between agents
- Defining task flows and communication between agents
- Evaluating and iterating on crew performance
Integrating External Data and APIs
- Connecting agents to spreadsheets, CRMs, and business databases
- Using APIs to extend agent capabilities
- Handling real-time input and triggers
Business Use Cases and Best Practices
- Marketing assistant: customer segmentation and content generation
- Finance analyst: reporting, forecasting, and KPI monitoring
- Customer support crew: ticket triage and resolution
Deployment and Scaling
- Running agents in production
- Monitoring and maintaining agent systems
- Security and governance considerations
Summary and Next Steps
Requirements
- Understanding of business processes and workflows
- Basic experience with Python programming
- Familiarity with AI concepts and tools
Audience
- Business analysts
- Digital transformation leaders
- AI consultants
14 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from £3800 online delivery, based on a group of 2 delegates, £1200 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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