Context Engineering for Agents & Multi-Agent Systems

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Context Engineering for Agents & Multi-Agent Systems

Hosted by Dr. Greg and The Wiz

Thu, Sep 25, 2025

8:30 PM UTC (1 hour)

Virtual (Zoom)

Free to join

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The AI Engineering Bootcamp

"Dr. Greg" Loughnane and Chris "The Wiz 🪄" Alexiuk

View syllabus

Thu, Sep 25, 2025

8:30 PM UTC (1 hour)

Virtual (Zoom)

Free to join

Invite your network

Go deeper with a course

The AI Engineering Bootcamp

"Dr. Greg" Loughnane and Chris "The Wiz 🪄" Alexiuk

View syllabus

What you'll learn

Context Engineering is the new...

Not just prompt engineering, but also RAG! Learn why this fundamentally makes intuitive sense for Generative AI

How agents with tools help us to enhance context

Enhancing search and retrieval is the primary job of agents with access to tools (and MCP servers!) today

How multi-agent systems enhance context

How tools like Deep Research offer insights into using parallelization to further scale context optimization

Why this topic matters

It’s all about putting the right stuff in context. Everything is Context Engineering. There is no in and out, there is only context. That is, it’s all about putting reference material in the context window. In other words, it’s all about leveraging in-context learning. And what do agents and multi-agent systems help us do? That's right, optimize context.

You'll learn from

Dr. Greg

Co-Founder/CEO @ AI Makerspace

Dr. Greg” Loughnane is the Co-Founder & CEO of AI Makerspace, where he is 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.

The Wiz

DL @ NVIDIA, Co-Founder/CTO @ 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 who’s motto is “Build, build, build!” He loves Dungeons & Dragons and is based in Toronto, Canada.

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