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DeepLearning.AI

João Moura

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.

Multi AI Agent Systems with crewAI

Learn the basics of AI agent systems and how they can be used to automate complex tasks.

Introduction to AI Agent Systems

Understand how to assign specialized roles to AI agents to improve task performance.

Role-playing for AI Agents

Learn to provide agents with short-term, long-term, and shared memory for better task execution.

Memory Management

Discover how to assign pre-built and custom tools to each agent for tasks like web search.

Tool Assignment

Effectively handle errors, hallucinations, and infinite loops in AI agent systems.

Error Handling

Learn to perform tasks in series, in parallel, and hierarchically using multiple AI agents.

Task Cooperation

Apply AI agent systems to automate common business processes such as resume tailoring, customer support, and event planning.

Automating Business Processes

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.

Individuals looking to incorporate LLMs in their professional work.

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Artificial Intelligence

Business

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Devops

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Green Skills

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AI Foundations

AI for Business

AI Automation & Workflows

Agentic AI

AI Coding / Vibe Coding

Agile and Scrum Methodologies

Agile and Scrum Practices 

AI Automation & Orchestration

AI for Data

AI for Design

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Multi AI Agent Systems with crewAI

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