Build Multi-Agent Applications - A Bootcamp

(LangGraph, Cursor, n8n, ...)

Design, develop, deploy, and demo an LLM agent application in 7 weeks!

You’ll build a functional application powered by LLM agents to automate a workflow of your choice. Along the way, you'll learn to design agent workflows, and integrate required tools. By the end of the program, you'll have a working application ready to showcase in a public demo.

JOIN OUR NEXT COHORT
Next Cohort: Oct 20 - Dec 5, 2025

We have helped 200+ builders like you who come from all typs of industries ...

Arise Health logoThe Paak logoOE logo2020INC logoEphicient logo

... and they have gotten great value from our bootcamp

"I love the bootcamp. Amir was very keen on refining the sticking points in the workflow that the AI Agents can perform. The mentors were very knowledgeable. We completed the main functionalities defined for our three projects. We are now continuing to expand the projects. I have learned a great deal from the bootcamp."

Alice R.

Postdoctoral Fellow
St. Michael Hospital

"This bootcamp provided an exceptional learning experience that enhanced my practical understanding of AI agents and the very real considerations for their deployment across a variety business contexts. It fostered my ability to engage effectively with my clients in the financial services sector, enhancing my ability to explore potential use cases with them."

Fredrick F.

Principal Microsoft

"I enjoyed the level-headed discussions around the multi-agent frameworks and liked the guidance we got when building our own product. The demos exceeded our own expectations. It is exciting to have my team interested in continuing to work on the project beyond the course. We plan to continue A lot of effort in making project demos."

Maher L.

CTO

"It was an intense and rewarding 7-week journey to build a real product from ideation to a fully functional application. With the support of the instructors, I challenged myself to create a multi-agent system, and the experience felt remarkably close to working in a real software company; delivering features sprint by sprint. The instructors were highly responsive, and the course structure was well thought out."

Sheikh A.

AI Developer Advocate

"I have to say, this bootcamp was a game-changer! As someone who isn't a native coder, I was genuinely surprised and thrilled that I was able to build a full-fledged agentic application. What really sets this apart is how incredibly practical it is, a refreshing change from a lot of the theory-heavy courses out there! I came in with just a basic idea, but the discussions and guidance really expanded my thought process."

Sorabh V.

Principal PM
Microsoft

"Although I have a background in computer science, building an agentic system was new to me. I came in with an idea but was concerned about pulling it off. The playbook with guided steps for refining ideas, the sample project, supporting resources, regular follow-ups, and 1-on-1 meetings with knowledgeable mentors helped me stay focused, complete my project, and gain confidence in abilities."

Nasim S.

Machine Learning Engineer
Next Cohort:
Oct 20 - Dec 5, 2025
Deadline to join:
Oct 19, 2025
Cost:
CAD$1300
Amount of fun:
Infinite (compared to building alone)
Amount of try & error:
Minimal (compared to building alone)

Are you ready to build?

How it works!

  • Sprint 1: Design and build the prototype of your agentic app
         
    Week 1 - Refine your idea and craft your first evaluation set
         Week 2 - Build the prototype of your agentic app in 48 hours
  • Sprint 2: Refine implementation of your agentic system
         Week 3 - Use your learning from sprint 1 to imrpove your agentic architecture
         Week 4 - Iterate on your implementation using your evaluation data set
  • Sprint 3: Improve the user experience of your agentic system and deploy
         Week 5 - Scale your evlauation and improvements with synthetic data and LLM as a judge
         Week 6 - Iterate on user experience and finalize your application
  • Public Demo: Show off your work
         Week 7 - Record a demo of your app and show it off to our broader community (usually we have a few hundred people signed up - aka great exposure for your work)
  • 🖥️ Learn the concepts in Weekly Interactive Live Sessions
    Participate in lectures, tutorials, and group activities to learn the basics, get inspired, and build more efficiently
  • 🔨 Build an Agentic AI App in our Structured 3-Sprint Program
    Follow a clear 3-sprint structure helping you design and build, with extra dose of accountability from instructor, mentors, and peers.
  • 🪜Get Personalized Feedback in 1 on 1 Mentorship Sessions
    Work on your project and meet with program mentors (instructor and TAs) regularly to get deeper in anything that requires clarification
  • ▶️ Connect with Potential Collaborators & Users in Public Demo
    Show off your work and connect with our community including invited guests (corporate directors, experienced founders, angel investors)

This bootcamp is for you if...

  • 💡 You want to build an agentic MVP to test the feasibility of your startup idea.
  • ⚙️ You want to build an agentic MVP to explore the new feature you want to add to your existing product
  • 🚀 You want to build an agentic MVP to demonstrate your skills for career progression purposes.
I'M READY TO BUILD AN AGENTIC MVP

Meet Your Instructor

Dr. Amir Feizpour is the founder, CEO, and Chief Scientist at Aggregate Intellect building a generative business brain for service and science based companies.

Amir has built and grown a global community of 5000+ AI practitioners and researchers gathered around topics in AI research, engineering, product development, and responsibility. Prior to this, Amir was an NLP Product Lead at Royal Bank of Canada.

Amir held a research position at University of Oxford conducting experiments on quantum computing resulting in high profile publications and patents. Amir holds a PhD in Physics from University of Toronto.

Amir also serves the AI ecosystem as an advisor at MaRS Discovery District and entrepreneur in residence at North Forge and Lab2MArket, and works with several startups as fractional chief AI officer.

Amir leads Aggregate Intellect’s R&D via several academic collaborations with McGill U., University of Toronto, and Alberta Machine Intelligence Institute focused on future of knowledge work.

i WOULD LIKE TO HAVE A CALL WITH aMIR (free)

Meet Your Mentors

Mentors answer your implementation questions asynchronously, or synchronously on 1 on 1 calls, and you can also watch them build and learn their thought prcess, techniques, and favorite tools

Mykola Burynok

Mykola is a seasoned software engineer and product builder with over 15 years of experience developing mobile apps, developer productivity command-line tools, and full-stack product architectures. Mykola has worked across startups and established companies, always focused on creating tools that are not only functional but intuitive and scalable.

Fascinated by the intersection of engineering and anthropology, Mykola is now diving deep into agentic architectures and AI-powered productivity systems, exploring how intelligent collaboration between humans and machines can shape the future of work.

TBD

TBD

TBD

TBD

Full Name

Lorem ipsum dolor sit amet, consectetur adipiscing elit.

How we can help you

Advisory

CAD$500/hr
book amir
  • Book Amir to get in depth advice about your gen AI project
  • Discounted monthly retainer available for long-term advisory
  • Best for larger projects with rapidly approaching deadlines

Corporate Training

Contact for Pricing
Book discovery call
  • Customized delivery, eg. expedited version in 1-3 days or in-person / online hybrid
  • Customized content for your use cases and available tool stack
  • Focus on enterprise needs like production-readiness, observability, security etc.
Through our services you and your team will be able to:

🧩 Understand and utilize the core ingredients of multi-agent LLM systems
Grasp how multiple LLMs can collaborate with each other, get feedback from or assign tasks to humans, ad use tools to tackle complex problems

🔬 Understand the role of evaluation and observability in building a robust agentic system
So, you build a system but does it work? How can it be improved? Out of 100 things you can change, which one is more important to focus on?

🏋🏽 Leave with a worked out muscle of experimentally developing an agentic system
Start from a workflow, design an agentic system for it, build it, evaluate it, find test cases to fix, repeat. You do this multiple times and those reps are how you build the mental muscle!

Program

  • October 20-27, 2025: Meet and Greet
         
    Bootcamp Logistics; LLM Products and Agents
  • October 27-November 2, 2025
         You probably don't need multi-agent systems (use cases for agentic AI)
  • November 3-9, 2025
         
    Deriving multi-agent architectures from workflows
  • November 10-16, 2025
      
      Improving agent performance using evaluations and interventions
  • November 17-23, 2025
      
      Measuring agent performance at scale
  • November 24-30, 2025
      
      AI-assisted agent architecture / perforamnce improvements
  • Deember 1-5, 2025
      
      Demonstrating agent behavior with observable execution, and evaluation metrics
  • 🖥️ Lectures - Mondays, 12pm - 1pm ET
    Recording will be made available after the session
  • 🔨 Tutorials - Wednsdays, 12pm - 1pm ET
    Recording will be made available after the session
  • 🪜 1 on 1 calls are booked on demand through the mentor's calendars for a time that mutually works
  • 🎭 Sprint demos and group feedback sessions - Sundays, 12pm - 1pm ET
    Sprint demos will be done using recorded videos so if for any reason you have to miss the session, you can still participate and watch the recording for feedback later.
  • ▶️ Public demo, Friday Dec 5, 2025 - 12pm-2pm ET
    Public demo will be done using recorded videos so if for any reason you have to miss the session, you can still participate and watch the recording for feedback later.
Frequencntly Asked Questions