Staging environment

From Coder to FDE: Building AI Systems That Ship

Hosted by Carmelo Iaria and Shekar Murthy

402 students

In this video

What you'll learn

Translate customer needs into shippable products

Turn ambiguous business problems into clear requirements, prototypes, and practical delivery plans.

Design AI systems for real-world deployment

Learn to scope and architect AI solutions around real customer workflows, constraints, and goals.

Deliver reliable AI solutions beyond the demo

Use evaluation, integration, and iteration practices to deliver reliable AI systems in production.

Why this topic matters

AI systems fail not because of model quality but because no one owns the hard translation between a customer’s messy reality and the product roadmap. Forward Deployed Engineers close that gap: they uncover hidden constraints, turn edge cases into design decisions, and create the feedback loops that make deployment—not the demo—the source of learning.

You'll learn from

Carmelo Iaria

Agentic Architect, Pearson SME, Startup Founder, 30 years of global experience

I help teams move from AI pilots to governed, production-grade agentic systems — through live programs and hands-on advisory.

Three decades across Europe, the US, and Brazil taught me one lesson: AI value is won in execution — clear scope, reliable multi-agent workflows, and governance that survives production.

I teach that discipline on Maven (Become an Agentic Architect, live workshops, Lightning Lessons, resources) through my AI-Assisted Multi Agent Development (AAMAD) Framework. I also work as a Fractional Chief AI Officer with teams that need embedded judgment, not generic advice — plus O’Reilly live sessions and Pearson certification-aligned programs.

Shekar Murthy

Chief Delivery Officer, Lyzr AI

Shekar is a senior technology and AI leader across enterprise technology, customer delivery, and applied AI. Before joining Lyzr, he held leadership roles across organizations including Yellow.ai, Concentrix, and IBM, giving him deep exposure to building and delivering technology solutions for large enterprises.

At Lyzr AI, Shekar leads the Applied AI team, working directly with enterprise customers to take complex AI use cases from problem statements to production-ready systems. His experience spans enterprise AI architecture, data and knowledge systems, customer delivery, integrations, and large-scale technology transformation. Today, his focus is on helping enterprises move beyond AI experimentation and successfully operationalize Agentic AI at scale.

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Go deeper with a course

Agentic Architect: The Last Mile
Carmelo Iaria
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