Build Your AI Agent Over the Holidays
Self-paced cohort with workflow guidance, sprint demos every 2 weeks, and async community support. Design, develop, deploy, and demo your LLM agent application in 7 weeks!
✓ Dec 8 Start • Jan 23 Public Demo
✓ Sprint demos every 2 weeks for accountability
✓ No weekly calls - build on your schedule
✓ Complete and get 40% off future Instructor-Led Cohorts

We have helped 200+ builders like you who've come from all types of industries and they have gotten great value from our bootcamp.
🟢 WHAT WILL I BE ABLE TO BUILD IN THIS BOOTCAMP?
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.
You can see this playlist for examples of what previous students built: https://tinyurl.com/llm-agent-demos
🟢 HOW WILL YOU HELP ME BUILD APPS LIKE THESE IN JUST 7 WEEKS?
This program is all about learning by doing. Specifically:
👨🎓 Async access to mentors and instructor for support while you build
📅 Build at your own pace, show your work during sprint demos, and get feedback in our structured program
🟢 I SEE! SO, WHAT SHOULD I EXPECT TO HAPPEN DURING THE PROGRAM?
Think about it like this: This is a 3-sprint product dev + 1 week of prep for the public demo.
🖌️ SPRINT 1 - DESIGN (weeks 1 & 2)
🔨 SPRINT 2 - DEVELOP (weeks 3 & 4)
🚢 SPRINT 3 - DEPLOY (weeks 5 & 6)
🎭 PUBLIC DEMO (week 7)
Details
Next Cohort
Dec 8
Deadline
Dec 7, 2025
Duration
7 weeks
Price
$200 USD
Fun
Infinite
What You'll Actually Get
This isn't just another course. You'll walk away with tangible assets that advance your career and concrete skills that set you apart.
A Complete AI Agent Application
Build and deploy a fully functional multi-agent system that solves a real workflow problem. Not a toy project - a showcase-ready application you can demo to employers, clients, or investors.
Public Demo & Portfolio Piece
Present your project to hundreds of attendees in our public demo showcase. Get a professional demo video and case study that proves your AI engineering capabilities.
Real-World AI Agent Skills
Master multi-agent LLM systems that collaborate, interact with humans, and leverage tools to solve complex problems. Build robust, observable systems with evaluation frameworks to measure performance and drive improvements. Learn industry-standard tools (LangGraph, n8n, Cursor IDE) through hands-on workflow-to-deployment experience.
Professional Network & Mentorship
Connect with AI practitioners, entrepreneurs, and potential collaborators. Get ongoing access to our Slack community and alumni network for career opportunities.
Systematic Agent Development Process
12 guided workflows that teach you the proven methodology for building real-world AI agents: from problem analysis and architecture design to evaluation and optimization. Apply this systematic approach to any agent project.
Career Acceleration
Whether you're launching a startup, advancing in your current role, or switching to AI engineering - you'll have concrete proof of your AI agent building capabilities.
Bottom line: You'll have everything you need to confidently build, deploy, and demo AI agent applications.
Throughout the bootcamp, you'll get hands-on experience with a range of powerful tools and frameworks. The technologies shown below are representative examples from key categories - the actual tools you'll use will be tailored to your specific project needs.
Who Is This Bootcamp For?
This bootcamp is designed for builders and innovators who want to create real AI agent applications, not just learn theory.
🚀 Entrepreneurs & Founders
Test your startup idea with a working AI agent prototype before raising capital or committing to a full build.
💼 Product Managers & Leaders
Explore AI agent features for your existing product and gain hands-on understanding to lead technical discussions.
🔧 Developers & Engineers
Build a portfolio piece that demonstrates your AI engineering skills and opens new career opportunities.
Experience level: You need to be willing to build using whatever tools work best - whether that's coding, AI-assisted development, no-code platforms, or combinations of all three. We support any approach that gets your project built. The main requirement is showing up ready to build.
Topics
Dec 8 - Dec 14, 2025
LLM Products and Agents Introduction
Dec 15 - Dec 21, 2025
Designing agent workflows
Dec 22 - Dec 28, 2025
Building multi-agent systems
Dec 29, 2025 - Jan 4, 2026
Deriving multi-agent architectures from workflows
Jan 5 - Jan 11, 2026
Improving agent performance using evaluations and interventions
Jan 12 - Jan 18, 2026
Measuring agent performance at scale
Jan 19 - Jan 23, 2026
Demonstrating agent behavior with observable execution, and evaluation metrics
Schedules
Dec 8, 12pm - 1pm ET
Meet & Greet (virtual kickoff session).
Sundays: Dec 21, Jan 4, Jan 18, 12pm - 1:30pm ET
Sprint Demos - Present your progress and get feedback from instructor, mentors, and peers. Recorded videos accepted if you can't attend live.
Jan 23, 2026, 12pm - 2pm ET
Public Demo Showcase - Present your final project to the broader community. Recorded video required.

Meet Your Instructor
AMIR FEIZPOUR
Dr. Amir Feizpour is the Founder, CEO, and Chief Scientist of Aggregate Intellect, where he is building a generative business brain for service- and science-based companies. He has grown a global community of over 5,000 AI practitioners and researchers focused on AI research, engineering, product development, and responsible AI.
Previously, Amir was NLP Product Lead at the Royal Bank of Canada and held a research position at the University of Oxford, conducting quantum computing experiments that led to high-profile publications and patents. He earned his PhD in Physics from the University of Toronto.
Amir also contributes to the AI ecosystem as an advisor at MaRS Discovery District, entrepreneur-in-residence at North Forge and Lab2Market, and fractional Chief AI Officer for several startups. He leads Aggregate Intellect’s R&D collaborations with McGill University, the University of Toronto, and the Alberta Machine Intelligence Institute, exploring the future of knowledge work.
Meet Your Mentors
Mentors answer your implementation questions asynchronously via Slack (24h response on weekdays), provide feedback during sprint demos, and you can learn from their thought process, techniques, and favorite tools.

Mykola Burynok
Mykola is a seasoned software engineer and product builder with over 15 years of experience in scala...
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David Jorjani
David is a product builder and founder of Qatalyst Labs, developing agent-powered products. He provi...
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Plans and Pricing
Choose the plan that fits your goals. Whether you're just getting started or scaling your business, our flexible pricing gives you the right tools and support to grow with confidence.
Get GenAI advice from Amir
Long-term advisory discounts available
Suited for larger, adaptive projects
Sprint demos + public showcase
Async Slack support (24h weekday SLA)
Structured workflow guides
Full refund until the end of Week 2
40% off future Instructor-Led cohorts (alumni benefit)
One year of 25% off advisory sessions
Weekly live labs & standups
Personalized 1-on-1 mentorship
Free one-time cohort transfer
Strategic GTM advice & connections
Sprint demos + public showcase
Async Slack support (24h weekday SLA)
Structured workflow guides
Full refund until the end of Week 2
50% off future instructor-led cohorts (alumni benefit)
One year of 50% off advisory sessions
Weekly live labs & standups
Personalized 1-on-1 mentorship
Free one-time cohort transfer
Strategic GTM advice & connections
Don't take our word for it,
see what our alumni say
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
Personal AI Assistant Workflows (Beta)
An experimental supplement to our hands-on mentorship: 12 structured workflows help track your progress and recommend next steps based on your artifacts and timeline. Build at your own pace while staying connected to the cohort. Your human mentors and instructor remain your primary support for personalized guidance and technical questions.
Every workflow knows what you've done • Guides what's next • No guessing, no getting lost