Cisco

Claro Brasil

Pearson

O'Reilly

Carmelo Iaria

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

Cohort 1

Cohort 2

Cohort 7

Cohort 5

Cohort 4

Cohort 3

Cognizant BR Turma 1

Cohort 6

A FREE guided, hands-on introduction to AAMAD and the Agentic Architect mindset Take the course on&nbsp;GitHub Pages&nbsp;to track your progress, submit answers, and receive your completion certificate! Who This Is For Target learner:&nbsp;Mid/senior software engineer who senses “AI is changing my job” and wants a&nbsp;systematic way&nbsp;to work with agents, not just vibe-code prompts. Promise:&nbsp;In 4–6 hours, go from random AI coding to a repeatable 3-phase method (Define–Build–Deliver) using&nbsp;AAMAD, with one small but real multi-agent outcome shipped.

Agentic Architect Fundamentals

As Anthropic has recently demonstrated, AI Coding is dramatically changing Software Development Life Cycle (SDLC). In this paper I share the 4 patterns I see unfolding in early 2026 that will impact how Software Development roles are changing: <ul><li>Pattern 1 — Vibe Coding</li><li>Pattern 2 — AI Assisted SDLC</li><li>Pattern 3 — Agentic Architect SDLC</li><li>Pattern 4 — Agentic Architect VDLC</li></ul> The most important insight: Speed without coordination is the new technical debt.

THE FOUR PATTERNS OF AGENTIC SDLC EVOLUTION

Top-performing teams complete tasks 55% faster by balancing three layers: the&nbsp;Model Layer&nbsp;(foundation with smart model routing to cut costs), the&nbsp;Agentic Layer&nbsp;(orchestration using proactive multi-agent systems for planning and debugging), and the&nbsp;Context Layer&nbsp;(competitive advantage through context engineering as models become commodities). In this article I go provide a description of the latest technology advances in each layer and direction on how to leverage them together to ensure quality and governance move together with speed of coding.

The Three-Layers Framework for Agentic Code Quality

The software industry is undergoing a fundamental shift. We are moving from an era where value was derived from individual task execution (coding) to one where value is generated through systemic orchestration. This playbook defines the role of the Agentic Architect—the professional who ensures organizations don’t just produce more code, but deliver more impact.

The Agentic Architect Playbook

Lightning Lesson 5 focuses on building **production-ready observability** for CrewAI multi-agent systems. The lesson pairs two runnable demos that students can explore locally to understand how tracing and metrics unlock faster debugging and actionable insights.

CrewAI Lightning Lesson Series - LL5

Most HITL implementations are basic approve/reject workflows that waste human expertise. Master sophisticated human-AI collaboration patterns where feedback becomes learning data, and you'll build systems that amplify human intelligence rather than bottleneck it. This elevates you from building simple chatbots to designing transformative business automation.

CrewAI Lightning Lesson Series - LL4

Master advanced memory architecture and you'll build agents that actually learn from interactions, remember context across sessions, and scale to enterprise workloads.

CrewAI Lightning Lesson Series - LL3

Master advanced prompt engineering and persona architecture, and you'll build agents with consistent, professional personalities that adapt to different collaboration contexts.&nbsp;

CrewAI Lightning Lesson Series - LL2

Slides used during Lightning Lesson #1 where I've shared a framework to master the strategic choice between autonomous agents and controlled workflows.&nbsp;

CrewAI Lightning Lesson Series - LL1

What if the future of building complex products isn’t about being the fastest coder, but about orchestrating a team of specialized AI agents—where your value lies in design, coordination, and vision, not just in the code you write? In this article I share some of my learning from building Agentic AI applications for enterprise clients and a link to a practical framework that will allow you to maintain the Agency required to preserve the economic and contextual value of YOUR work.

The Rise of the Agentic Architect

Engineers and engineering leaders who build, deploy, and scale software systems.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

This is a project-based course. In 6 weeks, you will learn a repeatable framework and build your multi-agent AI application ready to launch.

Pearson SME, O'Reilly teacher, ex-Cisco

Become an Agentic Architect

Student

Project Leader

Adobe Workfront Architect

Using AI coding assistants and tools to write, review, and ship code faster.

You'll ship a CrewAI crew, a PRD agents run on, and the confidence to shift from coder to Agentic Architect

Agentic Architect, Pearson SME, ex-Cisco

Carmelo Iaria 

Agentic Architect 101

Quality Engineering Director

Director of Innovation

Staff Engineer

Group PM

Lead UX Designer

Data Scientist

This course is what you need to stay relevant — and protect your career.Why this course mattersIn 2026, engineering value is shifting from task execution to orchestration and systems thinking. Anthropic’s research shows that being a software engineer increasingly means orchestrating agents that write code, evaluating their output, and ensuring the system solves the right problems—not just writing more code yourself. The gap between early adopters and everyone else is widening fast.You will leave with a production-ready capstone architecture, reusable templates, and a repeatable method you can apply immediately to your projects.What alumni sayBuilders from AT&amp;T, HP, Morgan Stanley, T-Mobile, Cognizant, Experian have applied the method I teach to build amazing multi-agent applications.<ul><li>Matt (Founder, SAVANT-AI): "Five stars for course logic, course structure, and course value."</li><li>Alexa (Lead UX Designer, Caseware): "I can already see how to bring it into my work."</li><li>Satyan (Group PM, AT&amp;T): "The concepts taught here make the difference between building a product that works and one that doesn't."</li></ul>FINAL WEEK to Enroll to Cohort 5 (Enrollment closes Sunday May 31)

Software development is moving from writing code to orchestrating agents. 

Define a solid foundation with clear research and project scope

Architect your complete multiagent solution — from roles to workflows

Design and build a production-ready Agentic AI Application

Define and configure your multiagent crew — from backend logic to integrations

Add enterprise-level quality: integrate human feedback, observability, and QA

Deploy, validate, and present your final Capstone solution with confidence

Own delivery outcomes in tech/product/design/consulting. Read-level Python is helpful; pair with a technical teammate if needed.

Experience & Background

Comfort with Git/GitHub, API basics, and AWS (or similar). If rusty, budget extra setup time in Weeks 1-2.

APIs & Cloud Platforms

Agentic IDE (Cursor, Claude Code, GitHub Copilot), OpenAI API credits (~$20+), GitHub account, AWS access (recommended)

Required Tools & Access

Technical Builders (software, AI/ML, data, platform) moving from demos to reliable delivery..

Product and Business Owners (PMs, founders, consultants) responsible for outcomes, priorities, and execution quality.

UX and Experience Leaders (UX, service design, research) shaping human-agent workflows, trust, and adoption.

Build an AI Data Crew for your Digital Marketing

Ship a Production Cursor Agent System in 30 Minutes

Debug Cursor Agent Failures Before Production

Run Eval Loops and Guardrails for Cursor Agents

The 8-agent Development Crew you can Build this weekend

Build Persistent Memory and Rules for Cursor Agents

Preserve your economic value in the age of AI

From coding to orchestration: AAMAD coordinates AI agents across the SDLC; humans govern workflows for quality outcomes.

Agentic Architect | O'Reilly Instructor | Pearson Agentic AI SME | ex-Cisco

The Rise of The Agentic Architect (video)

Agentic capability inside your company 

Includes

Typical programs

Who this is for

Scope Alignment

Pricing reflects headcount, program depth, calendar compression, and how much customization you need against live system

Agentic Architect | O’Reilly Instructor | Pearson Agentic AI SME | ex-Cisco

Corporate Training

AI leadership without the full-time executive cost

Typical Engagement Models

Pricing reflects scope, cadence, and ownership level. We align on fit and fees after a brief discovery call.

Executive AI Services

Learn a Repeatable Method and Build a Multi Agent App  in 4 Hours

Software delivery is shifting from writing every line yourself to orchestrating agents that write, test, and iterate. Most teams are still stuck in prompt-debug-patch loops, which creates fragile outputs and rework.In this live workshop, you stop patching and start orchestrating with a practical method you can apply immediately. You will:<ul><li>Learn a repeatable method to build complex AI Applications with quality and confidence.</li><li>Define a solid context that agents can execute on.</li><li>Build your a full-stack Multi Agent Application for an enterprise use case.</li><li>Configure a CrewAI crew - roles, tasks, tools - and get live debugging when things break.</li><li>Get your application ready for production.</li><li>Obtain a Certificate of Completion.</li><li>Receive 100% Credit toward the 6-weeks Project Based course <a target="_blank" rel="noopener noreferrer nofollow" href="https://maven.com/carmelo-iaria/agentic-architect">Become an Agentic Architect</a></li></ul>You leave with practical templates, a clear operating model, and a 14-day implementation action plan.

Run Define on a real use case (scope + PRD/context)

<pre><code class="language-markdown">Technical builders (software, AI/ML, data, platform) moving from demos to reliable delivery.</code></pre>

<pre><code class="language-markdown">Product and business owners (PMs, founders, innovation leads) responsible for outcomes, priorities, and execution quality.</code></pre>

<pre><code class="language-markdown">UX and experience leaders (UX, service design, research) shaping human-agent workflows, trust, and adoption.</code></pre>

Carmelo Iaria will make your Agentic AI execution effective

Carmelo Iaria

Courses

Become an Agentic Architect

Workshops

Agentic Architect Workshop: Stop Coding - Start Orchestrating

Lightning Lessons

Build an AI Data Crew for your Digital Marketing

Ship a Production Cursor Agent System in 30 Minutes

Debug Cursor Agent Failures Before Production

Run Eval Loops and Guardrails for Cursor Agents

The 8-agent Development Crew you can Build this weekend

Build Persistent Memory and Rules for Cursor Agents

Services

Corporate Training

Executive AI Services

Resources

Agentic Architect Fundamentals

CrewAI Lightning Lesson Series - LL1

CrewAI Lightning Lesson Series - LL2

CrewAI Lightning Lesson Series - LL3