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Build Scalable Multi-agent AI Systems

Hosted by Carmelo Iaria

Wed, Jan 21, 2026

4:00 PM UTC (30 minutes)

Virtual (Zoom)

Free to join

125 students

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Become an Agentic Architect
Carmelo Iaria
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What you'll learn

Apply the AAMAD framework

Master the Define-Build-Deliver methodology to structure your agent development process.

Orchestrate your Development Crew

Orchestrate specialized AI agent personas (PM, Architect, QA) to build robust software consistently.

Master Context Engineering

Replace messy chat logs with structured markdown deliverables to ensure efficient and scalable development.

Why this topic matters

Most developers treat agents like chatbots, leading to chaotic, unreliable loops that fail in production. Enterprise systems require structure. You need a dedicated methodology to move from "vibe coding" to AI engineering. This lesson introduces AI-Assisted Multiagent Application Development (AAMAD), a production-proven framework for defining, building, and delivering reliable agentic applications

You'll learn from

Carmelo Iaria

AI Builder | Pearson SME | ex-Cisco

After 3 decades working across Europe, the US, and Brazil, I’ve had the chance to see how organizations evolve—and sometimes struggle—when faced with technological change. What fascinates me most today is how AI isn’t just reshaping tools, but the very logic of how we work, decide, and create value.

I approach AI as a living system: a way to uncover patterns, reveal hidden connections, and rethink the foundations of business strategy. My goal is to make this complexity accessible—helping others not just understand AI, but use it to design smarter, more adaptive organizations.

I teach from experience, but also from curiosity. Every session is an opportunity to explore how intelligence—human and artificial—can work together to shape better decisions, stronger teams, and more resilient futures.

Previously at

Cisco
Claro Brasil
Pearson
O'Reilly Media

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