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This document serves as a guide for developing your agentic product. It is designed to help you systematically define your product's goals, requirements, and implementation strategy. By working through each section, you will refine your product idea, identify potential challenges, and develop a comprehensive plan for building and deploying your solution.

Agents Playbook

Are you interested in building LLM Agent Products, but unsure where to begin, or if you have the necessary background knowledge? We have curated this learning path using 70+ hours of (mostly) free resources that you can use to:<ol><li>Get started on your journey of building LLM Agent Products</li><li>Prepare to get the most of this course or similar ones, and</li><li>Evaluate areas where there's a gap in your knowledge</li></ol> After entering your email, you will be directed to a Miro Board. Contact maven@ai.science if you have any issues with this resource.

LLM AGENTS - Learning Path

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

Amir Feizpour, PhD

10 yrs in NLP, Founder of AISC - Community of 5k AI devs and founders

Build Multi-Agent Applications - A Bootcamp

Principal product manager 

Director of Product Design

Founder

AI Strategist 

Principal 

Explorer

NOTE 1: The price shown on this page is in _USD_.NOTE 2: The majority of your interaction with us will be through weekly 1 on 1 calls with the mentors to discuss your project (3 of us).NOTE 3: Check out the incentive program on this page for ways to save money. You can book me to talk about this bootcamp or anything else AI / career / startup related:https://calendly.com/amirfzpr/20min-ama 🟢 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. Instead of spending time listening to theoretical lectures, you do a real project, applying concepts you learn about AI agents with our expert guidance. Specifically:👨🏽‍🏫 1:1 sessions with the instructors to help you think through bigger picture questions👨‍🎓 Async and sync sessions with a dedicated TA for constant support, code reviews, and real-time feedback We also provide the "agents playbook" a step by step guide for building agentic systems with lots of hints, tips, and resources. 🟢 OK! THAT DOES SOUND FUN, BUT HOW DO I KNOW IF I HAVE THE PRE-REQUISITES AND I'M READY FOR BUILDING?That's the most common question we get! The best way to assess is to check out the "agents playbook" we provide for free and get a sense of what you need to do, and also check out the resources we curated. Here: https://maven.com/p/b0756d/agents-playbook 🟢 I SEE! SO, I'LL DO MY PREP BEFOREHAND, THEN WHAT SHOULD I EXPECT TO HAPPEN DURING?Think about it like this (since we're developing a product here, eh?): This is a 3-sprint product dev + 1 week of prep for the public demo.🖌️ SPRINT 1 - DESIGN (weeks 1 &amp; 2)🔨 SPRINT 2 - DEVELOP (weeks 3 &amp; 4)🚢 SPRINT 3 - DEPLOY (weeks 5 &amp; 6)🎭 PUBLIC DEMO (week 7)In each sprint, you communicate your progress or blockers on Slack, you collaborate on your designs / code on GitHub, you show up to provide weekly project updates and get feedback, and finally you do an end of sprint demo. 🟢 HMM! ARE YOU SAYING THAT I HAVE TO BE A CODER?If you are, then your freedom to build what you want will definitely increase. However, we have seen people do successful projects during the bootcamp using no-code tools like N8N, LangFlow, Dify etc. We have also seen folks "vibe coding" using Windsurf, Cursor, Co-pilot etc.There are options! The question is, are you ready to build? 🟢 OK! HOW WOULD I KNOW IF I'M MOVING IN THE RIGHT DIRECTION?You will get feedback async via Slack and other platforms we use, and also you join weekly group office hours, and when you need you can book the mentors for a 20 min 1:1 call.In addition, each sprint will wrap up with a "sprint demo" where you can show what you've done up to that point, and your peers and the mentors will provide feedback. 🟢 WHAT IF I DON'T HAVE A PROJECT IDEA?We will have a default project (most probably related to Deep Research) that you can participate in. If your goal is to better internalize the concepts rather than working on a specific idea, you can join that project. We commonly see that people re-do the program in the future to further develop specific ideas they have, and focus on building the foundations the first time they participate. ps. check out our incentive program: Bootcamp alumni can qualify for up to 75% refund when they do the program again. 🟢 COOL! I'M EXCITED TO GET STARTED, AND A DISCOUNT WOULD REALLY SWEETEN THE DEAL!Glad to hear that! There are a few options:🧑🏿‍🤝‍🧑🏼 You can find a buddy or colleague and sign up together. (20% off 2-9 seats&nbsp;|&nbsp;25% off 10+ seats)✴️ We often share discount codes with communities (including AISC members - reach out to community@ai.science if you're not part of our slack). So, check in with the communities you are part of.📆 We regularly hold events and info sessions where we share flash sales discounts valid for a day or two. Join the mailing list on this page to receive notifications about those.👨🏽‍🏫 You can apply to our Incentive Program that provides up to 75% refunds (not discounts). Apply here: https://forms.gle/YnvsoREuEX35DAxv8

Mentorship Program to Help You Build an Agent-based MVP

Course syllabus

Controlling the behavior of your agents often requires coding to include various tools, memory, or orchestration.

Python Coding

If you don't want to code, you can use no-code agent studios. We will provide specific resources but general familiarity is useful.

No-code App Building

If you are planning to code (or vibe code), familiarity with one of the coding assistants (GitHub copilot, cursor, etc), is helpful.

Coding co-pilots

We will have guest lecturers (optional) on Fridays, and project office hours on Sundays.

Fridays & Sundays

You can book time with the mentors (business, product, implementation) to have 1 on 1 conversation about your project once or twice a week

1 on 1 Mentorship Sessions

You demo your progress every other week as you build up towards preparing for the final public demo with invited guests (experienced founders, corporate directors, and investors)

Sprints + Public Demo

Course schedule

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.

This course is for you if...

At the end of this course you will ...

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 and utilize the core ingredients of multi-agent LLM systems

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?

Understand the role of evaluation in building a robust 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 in the 7 weeks and those reps are how you build the mental muscle!

Leave with a worked out muscle of experimentally developing an agentic system

Practical Design Patterns for RAG

Amir Feizpour

Founder @ Aggregate Intellect

Omid Omidi

RAG alone is not sufficient for robust product performance

RAG + orchestration, routing, and external APIs = real world

Integrating RAG into production pipelines and biz workflows

Build an Agentic App: Develop - Part 2/2

Abhi Anand

Data Scientist @ Wattpad

Refine design of your agentic system based on early feedback

Improve your no-code implementation or build by coding

Make your app robust using verification and feedback loops

Build an Agentic App: Design - Part 1/2

Assess if agentic approach is appropriate for your use case.

Design agentic workflow for your use case.

Implement agentic workflow for your use case using no-code.

Build Your 1st Agent: Build an Agent Using Agents - Part 2/2

David Jorjani

Founder @ Qatalyst Labs

Translate an idea into an agent workflow

Use Cursor or Windsurf to go from 0 to demo

Learn the pattern: agents that build agents

Build Your 1st Agent: From Idea to Agents - Part 1/2

Decide when you need an agent (vs software, automation, etc)

Validate ideas quickly with a simple playbook

Scope the smallest useful agent

Building AI Agents: Bootcamp 2505 Public Demo

Founder @ Aggregate Intellect

What agentic systems can be built in 7 weeks

Skills necessary to build agentic systems

Tool stack involved in building agentic systems

Building a Human-AI Teaming Gym

Azadeh Mostaghel

Founder @ Orchid Analytics; Lead dev @ Human-AI Teaming Lab

Near-term future of human-machine collaboration

How little we know about human-AI collaboration dynamics

Complexities of building a gym to simulate human-ai collab.

Building RAG Systems with AWS Bedrock

How AWS Bedrock simplifies deploying LLMs

Key Bedrock features that support scalable retrieval

Best practices for orchestration prompts in production

Exploring Open-Source Multi-Agent Frameworks for ML Research

Mykola Burynok

Senior Software Engineer @ Kima Inc.

Steps towards automating ML research workflows with open-source multi-agent architectures

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