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Artificial Intelligence
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Build Multi-agent LLM Products

  • up to 7 weeks
  • Advanced

Learn to design, implement, and deploy near-term multi-agent systems to solve business problems. This course equips you with the core principles of multi-agent LLMs, use cases, and integration strategies to enhance user and customer experience.

  • Multi-agent LLM systems
  • System design
  • Product development
  • Deployment techniques
  • Security best practices

Overview

This course will teach you the core principles of multi-agent LLM systems, how to design and build them, and how to integrate them into existing products. You will learn about optimizing teamwork, managing complex information flow, and ensuring security. By the end of the course, you will be able to design and build robust multi-agent LLM systems that enhance user experience, productivity, and business metrics.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Professional Certification
    upon course completion
  • Part-time
    course format
  • Live classes
    delivered online

Who is this course for?

Product Person

You have experimented with LLM APIs like OpenAI or open source LLMs locally, or created custom GPT agents.

Machine Learning Person

You are looking to translate LLM potential into practical architectures, strategies, and products.

Software Person

You care about the reliability and robustness of the LLM systems you pitch to stakeholders (investors, execs).

This course will equip you with the skills to design and build robust multi-agent LLM systems. You will learn about system design, product development, and deployment techniques, making you a valuable asset in the field of AI and machine learning.

Pre-Requisites

1 / 3

  • Proficiency in Python coding is very useful.

  • Familiarity with LLM concepts and APIs.

  • Ability to understand and apply technical concepts quickly.

What will you learn?

Ingredients of Agentic Systems & Setup
Learn the foundational elements of agentic systems and how to set them up. This module includes 3 lessons and 1 project.
Design Your Multi-agent System
Design your own multi-agent system with 2 lessons and 1 project.
Build v0.1 of your Multi-agent LLM Product
Start building the first version of your multi-agent LLM product with 1 lesson and 1 project.
Evaluate and Improve your Multi-agent LLM Product
Evaluate and improve your multi-agent LLM product with 1 lesson and 1 project.
Deploy your Multi-agent Product
Learn how to deploy your multi-agent product with 1 lesson and 1 project.
Prepare you Product for Demo
Prepare your product for a demo with 1 lesson and 1 project.
Prepare and Present a Public Demo
Prepare and present a public demo of your product with 1 lesson and 1 project.

What learners say about this course

  • “The course is more advanced and great for someone who is looking to build a Multi-agent solution. I have learned so much in this course, it touched on areas such as system design, product idea development, deployment techniques, etc. Besides, Amir is a very supportive and passionate instructor, he provided useful feedback for improvement and gave intelligent answers.”

    Phuong

    Entrepreneur, senior manager, business consultant

  • “One of the best courses I've taken across multiple online platforms. Amir is a truly great instructor and very knowledgeable about the latest advancements in LLMs agents. He ensured there was much interaction with him and between students making an excellent learning environment. The project was very rewarding providing practical experience and insights. On the whole very motivating to continue learning about LLM agents and thinking about how they can be applied in my work. Thank you!”

    Richard

    Sr SW Architect & ML Engineer, Abaxx Technologies

  • “This course has provided invaluable materials, examples, and experiences worth every penny. The insights shared during the sessions have already saved me years of potential misdirection, and I look forward to joining again in September.”

    Mykola

    Software engineer, Kima Inc.

Meet your instructor

  • Amir Feizpour

    Instructor, Aggregate Intellect

    Amir is the founder of Aggregate Intellect, helping clients leverage LLM systems to augment their business workflows. He has 10 years of experience in NLP and has held positions at Royal Bank of Canada and University of Oxford. Amir holds a PhD in Physics from University of Toronto.

Upcoming cohorts

  • Dates

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$500