This course is what you need to stay relevant—and protect your career.
In 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.
This project-based course puts you on the right side of that shift. You’ll use CrewAI and the AAMAD framework to design, build, and deploy a production-ready multi-agent AI application—with a real Capstone Project and live coaching. No empty theory, no “vibe coding” without structure: you’ll learn the coordination and context-engineering discipline that keeps systems reliable and your role indispensable.
Top 9 trending Engineering course on Maven this week.
(NOTE: Cohort 3 will be last one offered at the introductory price)
Build your Multi-agent AI application in 6 weeks with Cursor and CrewAI—and leave as an Agentic Architect who orchestrates agents.
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
Software developers and engineers who see AI reshaping their role and want to move from implementer to orchestrator.
Tech leads and engineering managers who need to ship production-grade agent systems and who are already the “glue” between teams and agents.
AI/ML engineers and consultants who want to escape task-level work and sell enterprise-grade, orchestrated 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 recommended), OpenAI API access ($20+ in credits), GitHub Account, AWS access (recommended)
Live sessions
Learn directly from Carmelo Iaria in a real-time, interactive format.
Personalized 1:1 coaching
When you are stuck or want to go deep on your unique use case, book a 1:1 slot at a time that works for your busy schedule
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 through the second week of the course.
12 live sessions • 48 lessons • 9 projects
Feb
23
Feb
27
Mar
2
Mar
6
Live sessions
1 hr / week
90 minutes weekly live session
Mon, Feb 23
4:00 PM—5:00 PM (UTC)
Fri, Feb 27
4:00 PM—5:30 PM (UTC)
Mon, Mar 2
4:00 PM—5:00 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
Quick explainer video about this new critical role in the age of AI assisted coding

Ship your Capstone with a structured and replicable method
$1,500
USD
6 days left to enroll