What You'll Learn
- Build agents that collaborate in complex workflows, integrating external tools for task-specific efficiency.
- Evaluate and optimize agents with performance tests and human feedback.
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Create multi-agent systems for automating project planning, lead scoring, data reporting, and content creation.
About This Course
This course will teach you to build and deploy advanced multi-agent applications using crewAI, covering automation for tasks like project
planning, lead engagement, data reporting, and large-scale content creation. Learn to orchestrate agents with diverse functionalities and
integrate them seamlessly with external systems for efficient, scalable solutions.
Use Cases in the Course
- Automated Project Planning: Decompose projects into tasks with time estimates and resource allocation.
- Project Progress Reporting: Connect agents to project management tools for updates and analytics.
- Agentic Sales Pipeline: Automate lead scoring, enrichment, and personalized outreach.
- Customer Support Data Insights: Create automated reports and visualizations based on support data.
- Content Creation Crew: Generate and refine web content, with social media-ready outputs.
Course Outline
- Introduction: Overview of course objectives and structure.
- Overview of Multi AI-Agent Systems: Intro to multi-agent systems and crewAI components.
- Automated Project: Planning, Estimation, and Allocation: Creating project planning agents.
- Internal and External Integrations: Methods for integrating with internal/external systems.
- Building Project Progress Report: Set up reporting from project management tools.
- Complex crew Setups: Managing parallel, sequential, and hybrid agent flows.
- Agentic Sales Pipeline: Building a lead scoring and engagement workflow.
- Performance Optimization: Conducting tests and using feedback to enhance agents.
- Support Data Insight Analysis: Automating data analysis for customer support insights.
- Multi-Model Use Cases: Leveraging different models in multi-agent setups.
- Content Creation at Scale: Building a system for scalable content generation.
- Agentic Workflows in Industry: Industry insights with Jacob Wilson, GenAI CTO at PWC.
- Generate, Deploy and Monitor Crews: Creating and monitoring multi-agent systems.
- Blog Post Crew in Production: Building a production-ready blog content generator.
- Conclusion: Course recap and next steps.
- Appendix - Tips and Help: Additional resources and code examples.
Who Should Join?
This course is for anyone with basic Python knowledge who wants to build complex, multi-agentic systems for real-world applications.