Mastering Multiagent AI Systems with CrewAI
6 Weeks
·Cohort-based Course
Architect, build, and deploy a production-ready multiagent AI solution—step by step, on real enterprise use cases, with CrewAI and AAMAD.
Mastering Multiagent AI Systems with CrewAI
6 Weeks
·Cohort-based Course
Architect, build, and deploy a production-ready multiagent AI solution—step by step, on real enterprise use cases, with CrewAI and AAMAD.
Previously at
Course overview
Build real applications where AI agent teams solve complex business use cases
In this Project-based course, you’ll go beyond prototyping and build a real, production-ready AI application using CrewAI and the AI Assisted Multiagent Application Development (AAMAD) framework.
A Capstone-based Learning Experience
You will choose ONE real-world enterprise use case (Automated Employee Onboarding Workflow, Multiagent Customer Support Crew or Sales Enablement Automation Crew) as your Capstone Project. Then you will design, build, and deploy a robust multiagent system—learning the actual process AI consultants use to land and deliver six-figure projects.
An AI-Assisted Development Experience
Developing application with AI Coding Agents such as CursorAI or Claude Code does give you a lot of speed but can be very frustrating at times. This is why I developed a method that adds reliability and robustness to the AI-assisted software development process. I called it AI-Assisted Multiagent Application Development (AAMAD) framework and is available open source on GitHub. In this course I will guide you to use the agent personas, cursor rules and templates available on this framework to develop your Capstone Project
Here’s exactly what you’ll do:
1. Set up your development environment in CursorAI and load the coding agents personas, rules and templates provided by the open source AAMAD framework.
2. Create the project scope documents (Market Research and Product Requirements Document).
3. Architect a complete multiagent solution with defined roles, workflows, and interactions.
4. Build the Frontend of your multiagent enterprise application.
5. Assemble and configure agents and crew in CrewAI—backend logic, integrations, and custom tools.
6. Integrate your solution adding human feedback, observability.
7. Optimize your application and run robust QA.
8. Deploy, validate, and present your capstone solution, just as you would for a paying client or an executive stakeholder at your company.
No filler, no generic demos, no passive content consumption.
Every lesson and live session is mapped to building your own application, with direct coaching and code reviews along the way.
You’ll finish with a production-grade capstone you can showcase in your Portfolio.
Who is this course for
01
AI/ML engineers at consulting firms, stuck with basic chats, want frameworks to build complex multiagent systems and win big contracts.
02
Tech leads and engineering managers asked to deliver AI projects, need architecture skills to turn demos into robust systems fast
03
Freelance AI consultants who want to escape low-fee gigs and sell enterprise-grade, production-ready agent solutions.
Prerequisites
Experience & Background
5+ years engineering or AI dev. experience. Intermediate Python skills.
APIs & Cloud Platforms
Basic API/web service knowledge. GitHub and AWS (or similar cloud) account.
Required Tools & Access
REQUIRED: CursorAI Pro, OpenAI API access ($20+ in credits), GitHub, AWS access, Python - RECOMMENDED: Perplexity Pro
What you’ll get out of this course
Ship a Real-World AI Capstone—Not a Demo
Design, build, and deploy a full multiagent system for an actual enterprise problem, with step-by-step guidance, weekly milestones, and direct code reviews.
Apply the AAMAD Framework End-to-End
Learn how to master Context Engineering best practices using the open source AAMAD framework and add robustness to your AI-Assisted software development process.
Master CrewAI for Production Use
Apply CrewAI’s advanced architecture for orchestrating agent teams, assigning specialized roles, and managing complex workflows—a differentiator between you and commodity AI developers.
Get Technical Feedback, Fast
Every live session is hands-on: real code reviews, architecture troubleshooting, and open Q&A—skip the fluff and get answers tailored to your build.
Join an Expert Peer Network
Collaborate, critique, and get actionable feedback from peers with similar technical backgrounds and career ambitions.
What’s included
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 • 40 lessons • 10 projects
Week 1
Sep
30
Live Session 1: What are you going to Build and How
Select the Use Case for your Capstone Project
Define (Scope, Context, PRD)
BONUS Resources
Week 2
Oct
7
Live Session 2: Defining Solution Architecture and UX
Build (Solution Architecture)
Build (Frontend)
BONUS Resources
Week 3
Oct
14
Live Session 3: Backend Design and your Crew
Build (Backend with CrewAI Crew)
BONUS Resources
Week 4
Oct
21
Live Session 4: Full-stack integration
Build (Full-stack Integration, Human-in-the-Loop, APIs)
BONUS Resources
Week 5
Oct
28
Live Session 5: Production-Ready Applications
Build (Observability, QA, Optimization)
BONUS Resources
Week 6
Nov
7
Live Session 6: Completing and Publishing your Application
Deploy & Present (Final Demo)
BONUS Resources
Post-course
Share your accomplishment with the world
Meet your instructor
Carmelo Iaria
Core Credentials:
- 30+ years tech leadership: Europe, Silicon Valley, Brazil
- Perplexity Business Fellow & AI Strategy Consultant
- EdTech startup Founder (2 years)
- Driven AutoML adoption at Tierl 1 financial institutions
- Former Head of Innovation at Claro Brasil (8 years)
- Ex-Cisco Product Management Manager (12 years)
Recent Project Highlights:
- Built production AI SQUADs for KakauTech's enterprise clients
- Contracted by Pearson as Subject Matter Expert for AI Agent certification development
Education & Expertise:
- MSEE Telecommunications, Politecnico di Torino
- Data Scientist Professional Certificate, Datacamp
- Human-Centered Service Design Certificate, IDEO
- Several GenAI practitioner courses, Deeplearning.ai
Join an upcoming cohort
Mastering Multiagent AI Systems with CrewAI
Cohort 1
$1,800
Dates
Payment Deadline
Course schedule
4-6 hours per week
Tuesdays
11:00am - 12:30pm EST
This will be our weekly live synch. We'll dedicate the first 30 minutes going over the key learning objectives for the week. We will then leave the remaining 60 minutes to address any questions you might have about the content or any challenges you may face in the project.
Weekly projects
2-4 hours per week
Schedule time in your calendar to explore our learning resources and work on your weekly deliverables for the capstone project.
Go from Idea to Deployed Multi-Agent App in 30 minutes
How to apply a Plug-and-Play Workflow to any Use Case
Build complex Multi Agents Systems using proven tools
Master the End-to-End AI Product Pipeline
Get the free recording
Learning is better with cohorts
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Frequently Asked Questions
Join an upcoming cohort
Mastering Multiagent AI Systems with CrewAI
Cohort 1
$1,800
Dates
Payment Deadline