Become an Agentic Architect

Carmelo Iaria

AI Builder | Pearson SME | ex-Cisco

Learn a repeatable method to orchestrate AI agents and ship a production AI App

In this Project‑Based course for AI engineers, tech leads, and consultants, you’ll go beyond prototyping to design, build, and deploy a production‑ready multi‑agent AI application using CrewAI and the open‑source AAMAD framework. AAMAD is designed to add reliability and robustness to AI-assisted development, ensuring your projects are maintainable and enterprise-grade.

During the course, you will execute a Capstone Project: you can bring your own project or suggested enterprise use cases, like Automated Employee Onboarding, and you’ll finish with a production-grade solution for your portfolio, ensuring you can leverage AI at scale and with demonstrable impact.

This course solves the critical professional challenge of preserving your economic and contextual value in the age of AI. It transforms you into an Agentic Architect, coordinating a team of AI Agents and repositioning you above the algorithm where value is generated through critical and systems thinking.

No empty theory, no generic demos, no passive learning. Every moment is designed to help you build, grow, and master your AI skills — with hands-on coaching and code reviews that keep you moving confidently toward your goal.

What you’ll learn

Build your Multiagent AI Application in 6 weeks with Cursor, AAMAD and CrewAI to generate real enterprise value as Agentic Architect.

  • Ship rock‑solid project docs: research + requirements that AI agents can execute on.

  • Architect a production‑ready multi‑agent system with clear roles, workflows, and docs.

  • Design and build one production‑ready Agentic AI application, not just a prototype.

  • Configure your full multi‑agent stack in CrewAI: Agents Personas, Tasks, Tools, and flows.

  • Add enterprise‑grade reliability: HITL, observability, and automated QA for agents.

  • Deploy and present a portfolio‑ready capstone you can show to clients and hiring managers

Learn directly from Carmelo

Carmelo Iaria

Carmelo Iaria

Perplexity Fellow, Pearson SME, Startup Founder, 30 years of global experience

Cisco
Claro Brasil
Pearson

Who this course is for

  • AI/ML engineers looking for frameworks to build complex multiagent systems

  • Tech leads and engineering managers that want to acquire architecture skills to turn demos into robust systems

  • AI consultants who want to escape low-fee gigs and sell enterprise-grade, production-ready agent solutions

Prerequisites

  • Experience & Background

    More than 5 years of experience as engineer or AI developer | Intermediate knowledge of Python

  • APIs & Cloud Platforms

    Basic knowledge of API/web service GitHub and AWS (or similar cloud) account

  • Required Tools & Access

    CursorAI Pro, OpenAI API access ($20+ in credits), GitHub, AWS access

What's included

Carmelo Iaria

Live sessions

Learn directly from Carmelo Iaria in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

Course syllabus

6 live sessions • 54 lessons • 9 projects

Week 1

Jan 12—Jan 18

    Welcome to the course

    1 item

    Jan

    13

    Live Session 1: What are you going to Build and How

    Tue 1/134:00 PM—5:30 PM (UTC)

    Select the Use Case for your Capstone Project

    5 items

    Define (Scope, Context, PRD)

    3 items

    Resources

    4 items

Week 2

Jan 19—Jan 25

    Jan

    20

    Live Session 2: Defining Solution Architecture and UX

    Tue 1/204:00 PM—5:30 PM (UTC)

    Build (Solution Architecture)

    5 items

    Build (Frontend)

    4 items

    BONUS Resources

    0 items

Free resources

Schedule

Live sessions

1 hr / week

90 minutes weekly live session

    • Tue, Jan 13

      4:00 PM—5:30 PM (UTC)

    • Tue, Jan 20

      4:00 PM—5:30 PM (UTC)

    • Tue, Jan 27

      4:00 PM—5:30 PM (UTC)

Projects

4 hrs / week

Work on your Capstone Project (weekly deliverables)

Async content

1 hr / week

Videos + Lessons on the Maven platform

Testimonials

  • This course cuts through the hype and focuses on what actually matters, production-grade AI systems that deliver measurable business value. The focus on real enterprise use cases and live code reviews sets a new bar for practical AI education.
    Testimonial author image

    Sairam Sundaresan

    AI Engineering Leader | Author of AI for the Rest of Us | I help engineers land AI roles and companies build valuable products
  • This is what enterprise AI actually looks like
    Testimonial author image

    Paul Iusztin

    Senior AI Engineer • Founder @ Decoding AI ~ Building an army of AI agents and teaching you about the process.

Your Learning Journey

Ship your Capstone with a structured and replicable method

Ship your Capstone with a structured and replicable method

Course Overview

Frequently asked questions

$1,800

USD

·
Jan 12Feb 20
·

2 cohorts