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DeepLearning.AI

Multi AI Agent Systems with crewAI

  • up to 1 hour
  • Beginner

Exceed the performance of prompting a single LLM by designing and prompting a team of AI agents through natural language. Learn to automate repeatable, multi-step tasks and business processes using the open-source library, crewAI.

  • AI agent design
  • Role assignment
  • Memory management
  • Tool assignment
  • Error handling

Overview

In this course, you will learn key principles of designing effective AI agents and organizing a team of AI agents to perform complex, multi-step tasks. You will apply these concepts to automate six common business processes. By the end of the course, you will have designed several multi-agent systems to assist you in common business processes and studied the key principles of AI agent systems.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Self-paced
    course format
  • Live classes
    delivered online

Who is this course for?

Professionals

Individuals looking to incorporate LLMs in their professional work.

Prompt Engineers

Those who have taken some prompt engineering courses and want to advance their skills.

Tech Enthusiasts

People with a basic understanding of coding who are interested in AI and automation.

Learn to design and prompt a team of AI agents to exceed the performance of a single LLM. This course covers key principles of AI agent systems, including role assignment, memory management, and error handling. Ideal for professionals, prompt engineers, and tech enthusiasts looking to incorporate LLMs in their work.

Pre-Requisites

1 / 3

  • Familiarity with basic coding

  • Some experience with prompt engineering

  • Interest in incorporating LLMs in professional work

What will you learn?

Introduction to AI Agent Systems
Learn the basics of AI agent systems and how they can be used to automate complex tasks.
Role-playing for AI Agents
Understand how to assign specialized roles to AI agents to improve task performance.
Memory Management
Learn to provide agents with short-term, long-term, and shared memory for better task execution.
Tool Assignment
Discover how to assign pre-built and custom tools to each agent for tasks like web search.
Error Handling
Effectively handle errors, hallucinations, and infinite loops in AI agent systems.
Task Cooperation
Learn to perform tasks in series, in parallel, and hierarchically using multiple AI agents.
Automating Business Processes
Apply AI agent systems to automate common business processes such as resume tailoring, customer support, and event planning.

Meet your instructor

  • João Moura

    Founder, crewAI

    João Moura is a results-driven Engineering Leader with close to 20 years of experience building and leading remote teams. He is passionate about promoting Diversity & Inclusion and executing long-term strategic growth plans.

Upcoming cohorts

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