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Multi-Agent Applications Development Bootcamp

Design, develop, deploy, and demo an LLM agent application in 7 weeks. Choose between mentorship tier with live sessions and 1-on-1 guidance, or self-directed tier with async support!

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.

Description

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.

What previous students built →

Details

Next Cohort

Jan 26

Deadline

Jan 25, 2026

Duration

7 weeks

Fun

Infinite

Choose Your Format

Self-directed Tier

Async workflows, Slack support, sprint demos

Mentorship Tier ⭐

Same as self-directed + live sessions, 1-on-1 mentorship, weekly standups

How It Works

Your journey through the bootcamp, with additional support available in mentorship tier

Build Your Agentic AI App

Work through our structured 3-sprint program to design, develop, and deploy a functional multi-agent system that solves a real problem.

Join Live Learning Sessions ⭐

Reinforce concepts and get live help through weekly lectures, group activities, and interactive labs with the instructor and peers.

Get Ongoing Support

Post questions in Slack and get async help from mentors and peers. Stay in the same Slack even after the cohort to interact with our community of 6000+ AI folks.

Receive 1-on-1 Mentorship ⭐

Meet individually with program mentors every week at a time that's convenient for you to work through bigger picture challenges or implementation details, and accelerate your progress.

Demo Your Progress

Every 2 weeks, present your progress during sprint demos to get feedback from the community, mentors, and fellow participants.

Showcase in Public Demo

Present your completed application to hundreds of attendees in our public showcase. Connect with potential collaborators, users, and industry professionals.

⭐ = Mentorship Tier Only

Sprints

Sprint 01 - Design

Week 1 and Week 2

Sprint 02 - Develop

Week 3 and Week 4

Sprint 03 - Deploy

Week 5 and Week 6

Sprint 04 - Public Demo

Week 7

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.

Claude Code

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.

Biz or Tech Entrepreneurs

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

Hands-on Product or Operations Managers

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

Developers, Data Engineers, Data Scientists

Build a portfolio piece that demonstrates your AI engineering skills and opens new career opportunities.

Who This Is NOT For

To set clear expectations, here are signs this bootcamp isn't a good fit for you.

Just-in-case Learners

If you're constantly collecting courses, tutorials, and resources without ever diving deep or building anything substantial, this intensive hands-on bootcamp isn't for you.

Passive Learners

If you prefer being taught step-by-step rather than figuring things out, this isn't a traditional course. You'll need to research, experiment, and problem-solve your way to a working solution.

Template Collectors

If you expect ready-made templates and plug-and-play solutions, look elsewhere. You'll build from first principles to create something unique that solves YOUR specific problem.

Tool-Focused Developers

If you want to master one specific framework (like 'just LangChain' or 'just n8n'), you'll be disappointed. We use whatever tools work best for your project - often mixing multiple approaches.

Certification Hunters

If you're mainly looking for certificates or credentials to add to LinkedIn, this hands-on bootcamp focuses on building real applications, not collecting certifications.

Planning Perfectionists

If you need everything mapped out before starting, you'll struggle. We iterate rapidly, learn by doing, and embrace the messiness of building something new.

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.

Schedule

7-week program timeline with additional live sessions for mentorship tier

Topics

Jan 26 - Feb 2

Refining your project idea as a successful agentic ai use case

Feb 2 - Feb 8

Controlling quality, reliability, and evals in agentic applications

Feb 9 - Feb 15

Implementing an agentic system using spec-driven development

Feb 16 - Feb 22

Engineering context flow in an agentic system to improve performance

Feb 23 - Mar 1

Refactoring human-in-the-loop agentic architectures

Mar 2 - Mar 8

Scaling agentic applications

Sessions

Mondays, 12pm - 1pm ET ⭐

Interactive Labs.

Wednesdays, 12pm - 1pm ET ⭐

Build Standups.

Sundays, 12pm - 1pm ET

Sprint demos & feedback

Mar 13, 2026, 12pm - 2pm ET

Public Demo Showcase

⭐ = Mentorship Tier Only

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

David Jorjani

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

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Azadeh Mostaghel

Azadeh Mostaghel is a systems-focused engineer and startup founder with deep expertise in building scalable, intelligent...

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Eyob Yirgu

Eyob Yirgu is a senior software engineer and systems builder focused on scalable backend architectures, automation, and ...

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Tiers 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

Mentorship Tier ⭐

$1349 USD

Sprint demos + public showcase

Async Slack support (24h weekday SLA)

Structured workflow guides

Full refund until the end of Week 2

60% off future mentorship tier cohorts (alumni benefit)

One year of 60% off advisory sessions

Weekly live labs & standups

Personalized 1-on-1 mentorship

Free one-time cohort transfer

Strategic GTM advice & connections

Self-directed Tier

$399 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 Mentorship Tier 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_workflow🤖 Master Workflow📅 Week 3, Day 15 | Sprint 2✅ COMPLETED:• Problem definition + YAML• Evaluation set (12 examples)• LangGraph prototype• Sprint 1 Demo ✓📂 ARTIFACTS:participant_profile.mdproblem_definition.mdevaluation_plan.mdlanggraph_implementation/📊 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 ✓✅ 0. Orientation✅ 1. Ideation✅ 2. Evaluation Dataset✅ 3. Workflow Translation└─ Demo Complete ✓SPRINT 2 (Week 3-4)⬜ 4. User Research→ 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_workflow🔧 Architecture Iteration WorkflowRefine your implementation based on eval failures1. REFLECT (from last workflow)• Which eval examples failed?• 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)✓ Analyzed component failures✓ Identified needed changes:- Add HTML cleaning component- Place before email parser✓ Documented rationale→ Testing implementation...3. OUTPUT CREATED📄 architecture_iteration_notes.mdCurrent Issue: Parser fails on HTML emailsRoot Cause: Can't handle nested structureChange: Add HTML Cleaner componentImpact: +200ms latency, 85% → 95% accuracyTrade-off: Acceptable for accuracy gain4. EXPERIMENT (next 2-3 days)Implement HTML Cleaner. Test component inisolation + measure accuracy improvement.✓ Workflow complete!

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

FAQs

What other costs should I expect beyond the bootcamp fee?

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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 happens if I can't make a sprint demo or public demo sessions?

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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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How is the Self-directed Tier different from the Mentorship Tier?

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What if I start in self-directed tier but realize I need more hands-on support?

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Will I still get instructor/mentor support in self-directed tier?

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