Mastering Multiagent AI Systems with CrewAI

Carmelo Iaria

AI strategist & Tech lead | ex-Cisco

Instructor

Build and deploy a production-ready multiagent AI solution on real use cases

In this Project-based course, you go beyond prototyping to design, build and deploy a real, production-ready AI application using CrewAI and the open source AI Assisted Multiagent Application Development (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 and CrewAI to generate real enterprise value as Agentic Architect.

  • You’ll build the key documents that set your application up for success — the Market Research Document and Product Requirements Document

  • With prompt-driven discovery and ready-to-use templates, you’ll define the “why” and “what” of your AI project with confidence and precision

  • You’ll create your own Solution Architecture Document, mapping out how your agents collaborate, communicate, and deliver results.

  • You’ll work with the AAMAD framework’s 8 specialized agent personas and discover how to orchestrate them into a powerful solution.

  • You’ll move beyond simple prototypes to create a fully functional Agentic AI Application, with hands-on guidance every step of the way

  • With the AI Agents from the AAMAD framework, you’ll build a full-stack enterprise application

  • You’ll bring your solution to life: configuring your agents in CrewAI, setting up the dev environment and managing the logic of your system

  • Along the way, you’ll learn to handle integrations, tools, and automation that make your application both powerful and efficient.

  • You’ll implement real-world reliability features: human feedback loops, observability, and automated QA testing.

  • By the end, your solution will meet professional, enterprise-grade standards — ready to be used, maintained, and scaled.

  • You’ll wrap up the course by deploying and presenting your completed project as if you were pitching to a client or an executive team.

  • This is where everything comes together: your learning, your design, and your results, following the same process used for 6-figure projects

Learn directly from Carmelo

Carmelo Iaria

Carmelo Iaria

Perplexity Fellow, AI Agents SME, Lean Startup Founder, 30 yrs 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 develaoper Intermediate knowledge of Python

  • APIs & Cloud Platforms

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

  • Required Tools & Access

    REQUIRED: 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.

Syllabus

6 live sessions • 54 lessons • 10 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 lesson

Go from Idea to Deployed Multi-Agent App in 30 minutes cover image

Go from Idea to Deployed Multi-Agent App in 30 minutes

How to apply a Plug-and-Play Workflow to any Use Case

Learn a clear, repeatable process to turn business needs into live multi-agent AI solutions.

Build complex Multi Agents Systems using proven tools

Discover how to use Perplexity, CursorAI, and CrewAI to define, architect, and build a production-ready AI solution

Master the End-to-End AI Product Pipeline

Build AI solutions—from idea to launch—independently and confidently, bridging skills across tech and business.

Schedule

Live sessions

1 hr / week

60 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

Success stories

  • 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

Frequently asked questions

$1,800

USD

Jan 12Feb 20