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Multi-Agent Applications Development BootcampInstructor-Led Cohort

Design, develop, deploy, and demo an LLM agent application in 7 weeks with live sessions, 1-on-1 mentorship, and hands-on guidance!

Amir Feizpour

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:

πŸ‘¨πŸ½β€πŸ« 1:1 sessions with us to help you think through bigger picture questions

πŸ‘¨β€πŸŽ“ Async and sync sessions with a dedicated mentor for constant support, code reviews, and real-time feedback

🟒 I SEE! SO, WHAT SHOULD I EXPECT TO HAPPEN DURING?

Think about it like this: This is a 3-sprint product dev + 1 week of prep for the public demo.

πŸ–ŒοΈ SPRINT 1 - DESIGN (weeks 1 & 2)

πŸ”¨ SPRINT 2 - DEVELOP (weeks 3 & 4)

🚒 SPRINT 3 - DEPLOY (weeks 5 & 6)

🎭 PUBLIC DEMO (week 7)

Details

Next Cohort

Jan 26

Deadline

Jan 25, 2026

Duration

7 weeks

Price

USD $1349

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.

πŸš€

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.

πŸŽ₯

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.

πŸ› οΈ

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.

πŸ“š

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.

πŸ’Ό

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.

πŸš€ Entrepreneurs & Founders

Test your startup idea with a working AI agent prototype before raising capital or committing to a full build.

πŸ’Ό Product Managers & Leaders

Explore AI agent features for your existing product and gain hands-on understanding to lead technical discussions.

πŸ”§ 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

Jan 26 - Feb 2, 2026

Meet and Greet Bootcamp Logistics; LLM Products and Agents

Feb 02 - Feb 08, 2026

Agentic AI Use Cases

Feb 09 - Feb 15, 2026

Deriving multi-agent architectures from workflows

Feb 16 - Feb 22, 2026

Improving agent performance using evaluations and interventions

Feb 23 - Mar 01, 2026

Measuring agent performance at scale

Mar 02 - Mar 08, 2026

Agent Architecture & Improvements

Mar 09 - Mar 13, 2026

Demonstrating agent behavior with observable execution, and evaluation metrics

Schedules

Mondays, 12pm - 1pm ET

Interactive Labs.

Wednesdays, 12pm - 1pm ET

Build Standups.

Sundays, 12pm - 1pm ET

Sprint demos and group feedbacks. 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.

Mar 13, 2026, 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.

Amir Feizpour

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, or synchronously on 1 on 1 calls, and you can also watch them build and learn their thought process, techniques, and favorite tools.

as

Mykola Burynok

Mykola is a seasoned software engineer and product builder with over 15 years of experience developi...

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David Jorjani

David is a product builder and founder of Qatalyst Labs, developing agent-powered products. Through ...

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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.

Advisory

$500 CAD/hr

Get GenAI advice from Amir

Long-term advisory discounts available

Suited for larger, adaptive projects

Instructor-Led Bootcamp
Full Experience

$1349 USD

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

Self-Paced Bootcamp
Launch Pricing

$399 USD

$200 USD

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

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

Featured Projects

These are our favorite projects from the recent bootcamp cohorts.

play button iconFeature Projects
play button iconFeature Projects
play button iconFeature Projects

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.

$ master_orchestration_workflowπŸ€– Master WorkflowπŸ“… Week 3, Day 15 | Sprint 2βœ… COMPLETED:β€’ Problem definition + YAMLβ€’ Evaluation set (12 examples)β€’ LangGraph prototypeβ€’ Sprint 1 Demo βœ“πŸ“‚ ARTIFACTS:participant_profile.mdproblem_definition.mdevaluation_plan.mdlanggraph_implementation/πŸ“Š STATUS: On Track (33%)⏰ Sprint 2 Demo in 3 days🎯 NEXT: architecture_iteration_workflowWHY: Your prototype works but needsrefinement. Identify components to improve.INPUT: Current implementation + eval resultsOUTPUT: architecture_iteration_notes.mdTIME: 2-3 hours$ claude-code execute architecture_iteration_workflowPress Enter to start workflow...[Type 'help' for more options]
BOOTCAMP PROGRESS4/12 workflows (33%)SPRINT 1 βœ“βœ… 0. Orientationβœ… 1. Ideationβœ… 2. Evaluation Datasetβœ… 3. Workflow Translation└─ Demo Complete βœ“SPRINT 2 (Week 3-4)⬜ 4. User Researchβ†’ 5. Architecture Iteration ← NOW⬜ 6. Component Evaluation⬜ 7. Observability└─ Demo: Sunday (3 days)SPRINT 3 (Week 5-6)⬜ 8. Evaluation Scaling⬜ 9. Deployment⬜ 10. Cost OptimizationWEEK 7⬜ 11. Demo Prep└─ Final Public Demo⚑ On track for Sprint 2!Next milestone: Sprint 2 Demo (Dec 1)
$ architecture_iteration_workflowπŸ”§ Architecture Iteration WorkflowRefine your implementation based on eval failures1. REFLECT (from last workflow)β€’ Which eval examples failed?β€’ What patterns in failures?> Email parser failed on 40% of HTML emails.> Pattern: Complex nested HTML breaks parser.> Need preprocessing component.2. EXECUTE (guided steps)βœ“ Analyzed component failuresβœ“ Identified needed changes:- Add HTML cleaning component- Place before email parserβœ“ Documented rationaleβ†’ Testing implementation...3. OUTPUT CREATEDπŸ“„ architecture_iteration_notes.mdCurrent Issue: Parser fails on HTML emailsRoot Cause: Can't handle nested structureChange: Add HTML Cleaner componentImpact: +200ms latency, 85% β†’ 95% accuracyTrade-off: Acceptable for accuracy gain4. EXPERIMENT (next 2-3 days)Implement HTML Cleaner. Test component inisolation + measure accuracy improvement.βœ“ Workflow complete!

Every workflow knows what you've done β€’ Guides what's next β€’ No guessing, no getting lost

FAQs

What can I build in this bootcamp?

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What is the expected time commitment?

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What happens if I start the cohort and then realize that can’t continue?

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What’s the refund policy?

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Are there discounts / scholarships available?

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Is there a bulk purchase discount?

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Do you offer private / corporate cohorts?

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What happens if I can’t make a live session?

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What tools or software can I use?

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Is technical support / feedback available during / after the bootcamp?

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What are the Personal AI Assistant Workflows?

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Do I have to come up with my own project idea?

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I have a project with confidential details. Will you help me with that?

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Will I get a certificate?

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