Offered By: IBMSkillsNetwork
Multi-Agent, Multi-Tool Systems: Design AI For Complex Tasks
Explore how to design and deploy AI architectures composed of specialized agents and toolchains that work together—cooperating, delegating, and communicating to solve problems beyond the scope of a single model. You'll learn design patterns for distributed agent collaboration, and tool interoperability. Through practical examples and guided exercises, you'll gain hands-on experience building robust, scalable agent ecosystems for real-world applications.
Continue readingGuided Project
Artificial Intelligence
At a Glance
Explore how to design and deploy AI architectures composed of specialized agents and toolchains that work together—cooperating, delegating, and communicating to solve problems beyond the scope of a single model. You'll learn design patterns for distributed agent collaboration, and tool interoperability. Through practical examples and guided exercises, you'll gain hands-on experience building robust, scalable agent ecosystems for real-world applications.
A Look at the Project Ahead
- Design and implement a distributed AI system composed of multiple agents with specialized roles, capable of solving complex tasks through collaboration.
- Integrate external tools and APIs into your agent ecosystem, enabling agents to perform actions beyond their native capabilities and work together seamlessly.
What You'll Need
- A basic understanding of Python programming
- Familiarity with concepts in AI or machine learning (helpful but not required)
- Curiosity about system design, automation, and intelligent agents
Estimated Effort
90 Minutes
Level
Intermediate
Skills You Will Learn
Agentic AI, AI Agents, Artificial Intelligence, LLM, Python, Tool Calling
Language
English
Course Code
GPXX0JYTEN