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Multi-Agent Systems for Everyone

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"Dr. Greg" Loughnane and Chris "The LLM Wizard 🪄" Alexiuk

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What you'll learn

Multi-agent workflows are just another pattern

By combining prompt engineering, RAG, fine-tuning, and agents, we can understand multi-agent systems

Single-agent vs. multi-agent use cases

When should you use multiple agents? When do you not need to?

Build a multi-agent pilot training simulator

Combine multi-agent collaboration with agent supervision to coordinate between pilot, copilot, and grounded operators.

Why this topic matters

Today, it's important to grok agents. Tomorrow, multi-agent applications will be relevant to industry. Learn the concepts and code at the LLM edge you need for where the puck is headed.

You'll learn from

"Dr. Greg" Loughnane

Co-Founder & CEO of AI Makerspace

Dr. Greg Loughnane is the Co-Founder & CEO of AI Makerspace, where he serves as an instructor for their AI Engineering Bootcamp. Since 2021 he has built and led industry-leading Machine Learning education programs. Previously, he worked as an AI product manager, a university professor teaching AI, an AI consultant and startup advisor, and an ML researcher. He loves trail running and is based in Dayton, Ohio.

Chris "The LLM Wizard 🪄" Alexiuk

Co-Founder & CTO of AI Makerspace

Chris “The Wiz” Alexiuk is the Co-Founder & CTO at AI Makerspace, where he is an instructor for their AI Engineering Bootcamp. During the day, he is also a Developer Advocate at NVIDIA. Previously, he was a Founding Machine Learning Engineer, Data Scientist, and ML curriculum developer and instructor. He’s a YouTube content creator YouTube who’s motto is “Build, build, build!” He loves Dungeons & Dragons and is based in Toronto, Canada.

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