4 Weeks
·Cohort-based Course
Learn to design and deploy near-term multi-agent systems to solve business problems.
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6 people enrolled last week.
Course overview
Multi-agent LLM systems, while powerful, face hurdles. Optimizing teamwork, managing complex information flow, and ensuring security are just a few.
This course equips you to grasp the core principles of multi-agent LLMs, identify use cases, and explore how to integrate them into current products.
By the end, you'll be well on your way to becoming a multi-agent LLM system architect, able to design and build the future of multi-player human-machine systems.
01
You're a product person who has experimented with LLM APIs like OpenAI or open source LLMs locally, OR created custom GPT agents.
02
You're a machine learning person looking to translate LLM potential into practical architectures, strategies and products.
03
You are software person who cares about the reliability & robustness of the LLM systems you pitch to stakeholders (investors, execs).
Grasp how multiple LLMs can collaborate with each other, get feedback from or assign tasks to humans, ad use tools to tackle complex problems
Bridge the gap by crafting strategies to seamlessly integrate LLMs with existing products, boosting user experience, productivity, and business metrics.
Learn what it takes to build robust multi-agent LLMs. Understand security best practices and ensure system reliability.
8 interactive live sessions
Lifetime access to course materials
11 in-depth lessons
Direct access to instructor
4 projects to apply learnings
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.
Architecting Multi-agent LLM Systems
Week 1
May 27—Jun 2
Events
Thu, May 30, 4:00 PM - 5:00 PM UTC
Sun, Jun 2, 4:00 PM - 5:00 PM UTC
Modules
Week 2
Jun 3—Jun 9
Events
Thu, Jun 6, 4:00 PM - 5:00 PM UTC
Sun, Jun 9, 4:00 PM - 5:00 PM UTC
Modules
Week 3
Jun 10—Jun 16
Events
Thu, Jun 13, 4:00 PM - 5:00 PM UTC
Sun, Jun 16, 4:00 PM - 5:00 PM UTC
Modules
Week 4
Jun 17—Jun 23
Events
Thu, Jun 20, 4:00 PM - 5:00 PM UTC
Sun, Jun 23, 4:00 PM - 5:00 PM UTC
Modules
Nayana T.
Ehsan A.
Nikhil V.
Yerzat M.
Roxana B.
Ian Y.
Gurinder G.
PhD
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.
Cohort 1
$500 USD
Dates
Payment Deadline
12:00pm - 1:00pm EST
We will have group discussions and guests lecturers on Thursdays, and project office hours on Sundays.
Course will run for 4 weeks in May and June. You will have access to reading / watching material, instructor, and hands-on teaching assistants.
2 hours per week
There will be a project that you will do alongside the course material with weekly milestones.
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Sign up to be the first to know about course updates.
Cohort 1
$500 USD
Dates
Payment Deadline