Creating a Podcast Generation AI Multi-Agent with CrewAI
Tony Kipkemboi, Developer Advocate at CrewAI, teaches you how to use CrewAI to build a multi-agent system that generates podcast-style audio from text.
Tony Kipkemboi
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실습 문제하고 트랙하세요.
Google로 계속하기계속 진행하시면 다음 사항에 동의하는 것으로 간주됩니다: 이용약관 및 개인정보 처리방침 그리고 귀하의 데이터가 미국에 저장된다는 점에 동의하는 것으로 간주됩니다.관련

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DataFramed AI Series: Navigating the Generative AI Revolution
Find out about DataCamp's upcoming podcast series focussing on the power of ChatGPT and generative AI.
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[DataFramed AI Series #1] ChatGPT and the OpenAI Developer Ecosystem
Logan Kilpatrick, Member of the Developer Advocacy Staff at OpenAI takes us through their products, API, and models, and provides insights into the many use cases of ChatGPT.
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CrewAI: A Guide With Examples of Multi AI Agent Systems
CrewAI is a platform that enables developers to build and deploy automated workflows using multiple AI agents that collaborate to perform complex tasks.


AI agents are no longer just answering questions—they’re collaborating to produce rich, creative outputs. By combining multiple agents, each with distinct roles and tools, developers can build systems that transform documents into dynamic, voice-generated conversations. It’s a practical step toward more advanced, multimodal AI applications.
In this code-along, Tony Kipkemboi, Developer Advocate at CrewAI, teaches you how to use CrewAI to build a multi-agent system that generates podcast-style audio from text. You’ll explore agent architecture, learn how agents can communicate and share tasks, and see how multimodal generation is handled in practice. This session is ideal for AI engineers interested in multi-agent design and creative AI applications.
Key Takeaways:
Session Resources (including slides + notebook!)