Staging environment

AI Agents for Pragmatic Builders - Claude Code, LangGraph, n8n

Amir Feizpour, PhD

Founder at Aggregate Intellect

Self-directed Program to Help You Build an Agent-based MVP

Note 1: Join my next Agents Office Hour and ask about this bootcamp.

Note 2: If you are interested in a mentorship version of this bootcamp, reach out to bootcamp@ai.science

🟢 WHAT DOES SELF-DIRECTED MEAN?

It means that you consume the material we curated, build, and demo every 2 weeks while tapping into our help with any issues you face asynchronously via Slack.

To make this as smooth as possible, we have set up all our coaching material and resources for common issues as Claude Code skills that will be available to you 24/7 as you learn and build.

Sprint demos will be live and interactive.

🟢 WHAT WILL I BE ABLE TO BUILD?

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

▶️ Playlist of previous public demos

🟢 WHAT SHOULD I EXPECT TO HAPPEN DURING?

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

🖌️ SPRINT 1 - DESIGN (wk 1 & 2)

🔨 SPRINT 2 - DEVELOP (wk 3 & 4)

🚢 SPRINT 3 - DEPLOY (wk 5 & 6)

🎭 PUBLIC DEMO (wk 7)

What you’ll learn

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 series of curated Claude Skills will guide you through build steps

  • (human) Instructor and Mentors provide async guidance to fill the gaps

  • You build and iterate in a 3-sprint structure

  • Build and deploy a fully functional multi-agent system that solves a real problem

  • Not a toy project - a showcase-ready application you can demo to employers, clients, or investors

  • 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 (Claude Code, LangGraph, n8n) through hands-on workflow-to-deployment experience

  • 12 guided workflows that teach you the proven methodology for building real-world AI agents

  • Workflows range from problem analysis and architecture design to evaluation and optimization

  • Apply this systematic approach to any agent project in the future

Learn directly from Amir

Amir Feizpour, PhD

Amir Feizpour, PhD

10+ years in AI and Product Development

Who this course is for

  • Biz or Tech Entrepreneurs - You want to build an agentic MVP to test the feasibility of your startup idea.

  • Hands-on Product or Operations Managers - You want to build an agentic MVP to explore a new feature in your existing product / process

  • Developers, Data Engineers, Data Scientists - You want to build an agentic MVP to demonstrate your skills for career progression purposes.

Prerequisites

  • Coding co-pilots

    Recommended but not required: eg. Claude Code

  • No-code App Building

    Recommended but not required: eg. n8n

  • Python Coding

    Recommended but not required: eg. LangGraph

What's included

Amir Feizpour, PhD

Live sessions

Learn directly from Amir Feizpour, PhD in a real-time, interactive format.

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 instructors, TAs, and peers.

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)

Lifetime Access to Our Maven Course Material

Revisit sessions recordings and material for future reference.

Lifetime Access to Community of Peers

Become part of AISC Slack community (5000+ AI researchers, engineers, and founders) for all your AI needs

Enjoy 50% off Any Future Cohort as Alumni

As an alumni, we make it easy for you to continue building with us, or if you simply want to get a refresher for this fast moving space

Free Transfer to a Future Cohort

If you sign up and can't keep up for any reason, you can ask to be transferred to the next cohort

Lifetime Access to Amir for Career | Startup Advice

Book Amir to discuss how you can take your product to market, including intros to potential customers / partners; or about your career plans

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund through the second week of the course.

Course syllabus

4 live sessions • 13 lessons

Week 1

Mar 16—Mar 22

    Build an Agentic Product Demo

    1 item • Free preview

    LLM Agents

    3 items

Week 2

Mar 23—Mar 29

    What are agents made of

    4 items

    Mar

    29

    Sprint 1 Demo

    Sun 3/294:00 PM—5:00 PM (UTC)

Free resource

Building AI Agents: Bootcamp 2510 Public Demo cover image

Building AI Agents: Bootcamp 2510 Public Demo

What agentic systems can be built in 7 weeks

Skills necessary to build agentic systems

Tool stack involved in building agentic systems

Schedule

Live sessions

1 hr / week

We have a 90 min session every other week to provide feedback on your project progress

    • Sun, Mar 29

      4:00 PM—5:00 PM (UTC)

    • Sun, Apr 12

      4:00 PM—5:00 PM (UTC)

    • Sun, Apr 26

      4:00 PM—5:00 PM (UTC)

    • Fri, May 1

      4:00 PM—5:45 PM (UTC)

Projects

10 hrs / week

This would include ideation, creating evaluations, implementing, and iterating on your implementation.

Async content

5 hrs / week

This will be lecture notes, videos, curated resources but also working with Claude Code skills to plan your project.

Frequently asked questions

$399

USD

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Mar 16May 1
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