Build Multi-Agent Applications - A Bootcamp

4.7 (26)

·

7 Weeks

·

Cohort-based Course

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

This course is popular

4 people enrolled last week.

OUR STUDENTS CAME FROM

Meta
Google
TD Bank
Wells Fargo
Accenture

Course overview

Mentorship Program to Help You Build an Agent-based MVP

NOTE 1: The price shown on this page is in _USD_.

NOTE 2: There are not many live sessions in this bootcamp and the majority of your interaction with us will be through 1 on 1 calls with the teaching staff (5 of us).

NOTE 3: Check out the incentive program on this page for ways to save money.


🟢 WHAT WILL I BE ABLE TO BUILD IN THIS COURSE?

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 course, you'll have a working MVP 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 course is all about learning by doing. 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 & 2)

🔨 SPRINT 2 - DEVELOP (weeks 3 & 4)

🚢 SPRINT 3 - DEPLOY (weeks 5 & 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.


🟢 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 teaching staff 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 teaching staff will provide feedback. We also will invite guest experts for each of the demos to provide additional feedback:

🖌️ SPRINT 1 - Sr. AI Product Experts

🔨 SPRINT 2 - Sr. ML Engineers

🚢 SPRINT 3 - Sr. MLOps Engineers

🎭 PUBLIC DEMO - Investors, Experienced Founders, Corporate Directors


🟢 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-take the course in the future to further develop specific ideas they have, and focus on building the foundations the first time they take the course.


🟢 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 | 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 Inventive Program that provides up to 75% refunds (not discounts). Apply here: https://forms.gle/YnvsoREuEX35DAxv8

This course is for you if...

01

You want to build an agentic MVP to demonstrate your skills for career progression purposes.

02

You want to build an agentic MVP to test the feasibility of your startup idea.

03

You want to build an agentic MVP to explore the new feature you want to add to your existing product

At the end of this course you will ...

Understand the core principles of multi-agent LLM systems

Grasp how multiple LLMs can collaborate with each other, get feedback from or assign tasks to humans, ad use tools to tackle complex problems

Integrate LLMs with existing product offerings to enhance user and customer experience

Bridge the gap by crafting strategies to seamlessly integrate LLMs with existing products, boosting user experience, productivity, and business metrics.

Understand key considerations for securing, robust, and reliable LLM systems

Learn what it takes to build robust multi-agent LLMs. Understand security best practices and ensure system reliability.

This course includes

15 interactive live sessions

Lifetime access to course materials

In-depth lessons

Direct access to instructor

1 projects to apply learning

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Week 1

Apr 28—May 4

    Apr

    28

    Course Kick-off - Meet & Greet

    Mon 4/284:00 PM—5:00 PM (UTC)

    May

    4

    Group Office Hour

    Sun 5/44:00 PM—5:00 PM (UTC)

    Build a Agentic Product Demo

    1 item • Free preview

    May

    2

    Guest Lecture - Community Event

    Fri 5/25:00 PM—6:00 PM (UTC)
    Optional

Week 2

May 5—May 11

    May

    11

    Sprint 1 - Demo

    Sun 5/114:00 PM—5:00 PM (UTC)

    May

    9

    Guest Lecture - Community Event

    Fri 5/95:00 PM—6:00 PM (UTC)
    Optional

Week 3

May 12—May 18

    May

    18

    Group Office Hour

    Sun 5/184:00 PM—5:00 PM (UTC)

    May

    16

    Guest Lecture - Community Event

    Fri 5/165:00 PM—6:00 PM (UTC)
    Optional

Week 4

May 19—May 25

    May

    25

    Sprint 2 - Demo

    Sun 5/254:00 PM—5:00 PM (UTC)

    May

    23

    Guest Lecture - Community Event

    Fri 5/235:00 PM—6:00 PM (UTC)
    Optional

Week 5

May 26—Jun 1

    Jun

    1

    Group Office Hour

    Sun 6/14:00 PM—5:00 PM (UTC)

    May

    30

    Guest Lecture - Community Event

    Fri 5/305:00 PM—6:00 PM (UTC)
    Optional

Week 6

Jun 2—Jun 8

    Jun

    8

    Sprint 3 - Demo

    Sun 6/84:00 PM—5:00 PM (UTC)

    Jun

    6

    Guest Lecture - Community Event

    Fri 6/65:00 PM—6:00 PM (UTC)
    Optional

Week 7

Jun 9—Jun 13

    Jun

    13

    Public Demo Day

    Fri 6/134:00 PM—5:00 PM (UTC)

    Jun

    12

    Pre-demo Group Office Hour

    Thu 6/124:00 PM—5:00 PM (UTC)
    Optional

4.7 (26 ratings)

What students are saying

Free resource

Agents Playbook

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.

Get this free resource

Frequently Asked Questions

Meet your instructor

Amir Feizpour, PhD

Amir Feizpour, PhD

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

Amir is the founder of Aggregate Intellect, helping clients leverage LLM systems to augment their business workflows. Prior to this, Amir was an AI Product Lead at Royal Bank of Canada and built a document processing platform used by internal lines of business. Amir held a research position at University of Oxford conducting experiments on quantum computing resulting in high profile publications and patents. Amir holds a PhD in Physics from University of Toronto. Amir has also founded and grown a global community of 5000+ engineers, researchers, and founders gathered around topics in natural language processing.

Abhimanyu Anand

Abhimanyu Anand

Abhimanyu has 7+ years of experience building AI products and applications across diverse industries—from large-scale internet platforms to metals & mining and e-commerce.


Currently, he leads the development of recommender systems and NLP-driven applications at Wattpad, delivering personalized content experiences to millions of users.

In addition, Abhimanyu consults with companies, helping them design and implement Generative AI solutions.


In this course, he'll draw on his practical experience to support you in designing, building, and deploying agentic applications.

A pattern of wavy dots

Join an upcoming cohort

Build Multi-Agent Applications - A Bootcamp

Cohort-2505

$999

Dates

Apr 28—June 13, 2025

Payment Deadline

Apr 28, 2025

Don't miss out! Enrollment closes in 7 days

Get reimbursed

Course schedule

4-8 hours per week

  • Thursdays & Sundays

    12:00pm - 1:00pm EST

    We will have group discussions and guests lecturers on Thursdays, and project office hours on Sundays.

  • Jan. 13, 2025 - Mar. 1, 2025

    Course will run for 7 weeks in January and February. You will have access to reading / watching material, instructor, and hands-on teaching assistants.

  • Weekly projects

    2-4 hours per week

    There will be a project that you will do alongside the course material with weekly milestones.

Stay in the loop

Sign up to be the first to know about course updates.

$999

4.7 (26)

·

7 days left to enroll