Designing Multi-Agent AI Systems
Aki Wijesundara, PhD
AI Founder | Google AI Accelerator Alum
Manu Jayawardana
Exited AI Founder | Co-Founder, Snapdrum
Build multi-agent AI systems that actually work, not just demo
Many aspiring AI builders get stuck at the start. They know what multi-agent AI can do but struggle to turn ideas into systems that actually work in production. Without a clear design approach, agents fail, coordination breaks down, costs blow up, and hallucinations derail results.
This course guides you from zero to production-ready multi-agent AI thinking. Over the course, you will learn to:
Design agent roles and responsibilities from scratch even with no prior experience
Manage context, memory, and coordination so agents reason reliably
Plan, execute, and integrate tools safely within agent workflows
Evaluate, debug, and improve agent behavior iteratively
By the end, you will not just understand the theory. You will build functioning multi-agent systems, know how agents coordinate and solve real problems, and gain the confidence to ship reliable AI products, setting the foundation for advanced AI system design and production deployment.
What you’ll learn
Build, manage, and scale data pipelines from scratch — even if you’ve never coded one before.
Learn what agents are and how they work together
Understand how multi-agent systems differ from single-agent workflows
Get a clear mental Get a clear mental model of agent roles, responsibilities, and coordination
Define agent roles and tasks from the ground up
Learn how to manage memory, context, and interactions so agents reason reliably
Integrate tools safely and make agents perform real actions
Detect and fix problems early before they affect the whole system
Iterate on your system to make it reliable and scalable
Walk away with a fully functioning multi-agent AI system you built yourself
Who this course is for
Engineers building AI features or platforms
Product managers owning AI initiatives
Founders designing AI-powered products
What's included
Live sessions
Learn directly from Aki Wijesundara, PhD & Manu Jayawardana in a real-time, interactive format.
Project-based learning
Work on practical exercises that simulate real-world data workflows from ingestion to analytics-ready tables.
Downloadable resources
Access code templates, cheat sheets, and pipeline examples to practice and reuse after the course.
Community of learners
Collaborate, ask questions, and share insights with peers in a supportive learning environment.
Certificate of completion
Showcase your data engineering skills to employers, clients, or your team.
Guided workflow playbooks
Step-by-step guides for building reliable pipelines using best practices and beginner-friendly tools.
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
4 live sessions • 118 lessons
Week 1
Feb
1
Foundations of Multi-Agent AI
What is an agent and what is a multi-agent system
Single-agent vs multi-agent workflows
Real-world examples of multi-agent AI
Core coordination patterns and communication methods
Common challenges in multi-agent systems
Hands-On / Outcome:
Assignment To Do
Week 2
Feb
8
Designing Agents and Coordination
Defining agent roles: executor, planner, reviewer, supervisor
Delegation and handoffs between agents
Preventing coordination breakdowns
Handling context and short-term memory
Safe planning and basic decision-making logic
Hands-On / Outcome:
Assignment To Do
Schedule
Live sessions
2 hrs / week
You will learn core concepts into multi-agents
Sun, Feb 1
6:00 PM—8:00 PM (UTC)
Sun, Feb 8
5:30 PM—7:30 PM (UTC)
Sun, Feb 15
5:30 PM—7:30 PM (UTC)
Sun, Feb 22
5:30 PM—7:30 PM (UTC)
Hands On Projects
4 hrs / week
Complete practical exercises and mini-projects that simulate real-world multi-agent AI workflows. Apply what you learn in live sessions to design agents, coordinate tasks, integrate tools, and manage memory, ensuring you gain hands-on experience that prepares you to build production-ready multi-agent systems.
$999
USD
2 days left to enroll