Scaling Multi-Agent AI: Architectures for Collaborative Intelligence - A Case Study

Go beyond single-agent AI and unlock the transformative power of collaborative intelligence with this practical guide to building scalable multi-agent systems.

10
Hours
LunarTech Academy
Certificate
Available online
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In this course,
you'll learn

Master the Art of Agent Design

Learn the principles of creating intelligent agents that can perceive, reason, act, and communicate effectively within complex environments, like master craftsmen building the gears of a complex machine.

Harness the Power of Collective Intelligence

Orchestrate systems where agents collaborate seamlessly, leveraging their diverse strengths and perspectives to achieve common goals, creating a symphony of AI intelligence.

Explore the Frontiers of AI

Dive into cutting-edge topics like multi-agent reinforcement learning, natural language processing for agent communication, and the ethical considerations of advanced AI systems, becoming a leader in this rapidly evolving field.

Shape the Future of AI for Good

Contribute to the responsible development and deployment of multi-agent AI, ensuring that these powerful technologies are used to benefit humanity and create a brighter future for all, leaving your mark on the world.

Your instructor

Vahe Aslanyan

Vahe Aslanyan has empowered hundreds of developers by clarifying complex AI and data science concepts, helping them innovate cutting-edge software solutions.

Trusted by over 10.000 students

Course program

Here's a glimpse of what you'll learn throughout the course

Module 1

Module 1: The Multi-Agent AI Revolution

Explore the transformative potential of multi-agent AI in scholarly research, understanding the technical foundations and benefits of collaborative AI agents.

Module 2

Module 2: Building Your First Multi-Agent System

Gain practical experience by building your own multi-agent AI system, learning fundamental design principles and exploring diverse system architectures.

Module 3

Module 3: The AI-Powered Research Assistant

Dive deep into a real-world case study, building an AI-powered research assistant that leverages specialized agents to automate the entire research and publication process.

Module 4

Module 4: Setting the Stage for Development

Master the essential tools and configurations needed for multi-agent system development, from installing necessary packages to setting up API keys and defining the research state.

Module 5

Module 5: Building Your Agent Team

Create a team of specialized AI agents, each with unique roles and capabilities, designed to work together seamlessly in the research and publication process.

Module 6

Module 6: Orchestrating Collaborative Research

Learn how to coordinate and manage interactions between your AI agents, ensuring efficient workflow and achieving optimal results in the automated research process.

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That breaks down to:

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