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.
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
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
More than 5 years of experience as engineer or AI developer | Intermediate knowledge of Python
Basic knowledge of API/web service GitHub and AWS (or similar cloud) account
CursorAI Pro, OpenAI API access ($20+ in credits), GitHub, AWS access
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.
6 live sessions • 54 lessons • 9 projects
Jan
13
Jan
20
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

Sairam Sundaresan

Paul Iusztin

Ship your Capstone with a structured and replicable method
$1,800
USD
2 cohorts