DeepLearning.AI

João Moura

In this course, you will learn to build agents that collaborate in complex workflows, integrating external tools and using different models to handle specific tasks efficiently. You will evaluate and enhance your agents by conducting performance tests and providing human feedback to train and optimize their performance. The course covers creating multi-agent systems to automate tasks such as project planning, lead scoring, data reporting, and large-scale content creation.

Practical Multi AI Agents and Advanced Use Cases with crewAI

An overview of the course and its objectives.

Introduction

Introduction to the main building blocks of multi-agent systems.

Overview of Multi AI-Agent Systems

Learn to automate project planning by breaking projects into tasks and allocating resources.

Automated Project: Planning, Estimation, and Allocation

How to integrate multi-agent applications with internal and external systems.

Internal and External Integrations

Create a project progress report by interacting with project management systems.

Building Project Progress Report

Learn to connect multiple agents in complex setups.

Complex crew Setups

Build a sales pipeline that enriches and scores leads, and writes personalized emails.

Agentic Sales Pipeline

Optimize agent performance using human feedback and performance tests.

Performance Optimization

Generate issue reports and visualizations for customer support data.

Support Data Insight Analysis

Work with multiple LLMs in your multi-agent system.

Multi-Model Use Cases

Create content at scale using web research and RAG tools.

Content Creation at Scale

Learn about deploying agentic workflows in real industry use cases.

Agentic Workflows in Industry

Start a project from scratch and prepare it for deployment.

Generate, Deploy and Monitor Crews

Create a blog post crew with code examples.

Blog Post Crew in Production

Conclusion

Quiz

Additional tips and help for course participants.

Appendix - Tips and Help

Join this short course to learn how to build and deploy agent-based apps for advanced real applications in the industry. Gain skills in creating multi-agent systems for tasks like project planning, lead scoring, and content creation, enhancing your AI development capabilities.

Individuals with basic Python knowledge looking to build complex multi-agent systems.

Python Enthusiasts

Developers interested in creating agent-based applications for real-world use cases.

AI Developers

Professionals aiming to automate tasks and enhance workflows using AI agents.

Tech Professionals

Artificial Intelligence

Business

Cloud Engineering

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Data

Design

Devops

Finance

Green Skills

Languages

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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Practical Multi AI Agents and Advanced Use Cases with crewAI

Overview

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