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Artificial Intelligence
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DeepLearning.AI

Practical Multi AI Agents and Advanced Use Cases with crewAI

  • up to 2 hours
  • Beginner

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.

  • Multi-agent systems
  • Performance optimization
  • System integration
  • Content creation
  • Project management

Overview

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.

  • 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?

Python Enthusiasts

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

AI Developers

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

Tech Professionals

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

This course offers key benefits such as building complex multi-agent systems and automating tasks like project planning and content creation. It is ideal for beginners and tech professionals looking to enhance their AI development skills and advance their careers.

Pre-Requisites

1 / 3

  • Basic Python knowledge

  • Interest in AI and automation

  • Familiarity with coding environments

What will you learn?

Introduction
An overview of the course and its objectives.
Overview of Multi AI-Agent Systems
Introduction to the main building blocks of multi-agent systems.
Automated Project: Planning, Estimation, and Allocation
Learn to automate project planning by breaking projects into tasks and allocating resources.
Internal and External Integrations
How to integrate multi-agent applications with internal and external systems.
Building Project Progress Report
Create a project progress report by interacting with project management systems.
Complex crew Setups
Learn to connect multiple agents in complex setups.
Agentic Sales Pipeline
Build a sales pipeline that enriches and scores leads, and writes personalized emails.
Performance Optimization
Optimize agent performance using human feedback and performance tests.
Support Data Insight Analysis
Generate issue reports and visualizations for customer support data.
Multi-Model Use Cases
Work with multiple LLMs in your multi-agent system.
Content Creation at Scale
Create content at scale using web research and RAG tools.
Agentic Workflows in Industry
Learn about deploying agentic workflows in real industry use cases.
Generate, Deploy and Monitor Crews
Start a project from scratch and prepare it for deployment.
Blog Post Crew in Production
Create a blog post crew with code examples.
Conclusion
Wrap up the course with key takeaways.
Quiz
Test your knowledge with a course quiz.
Appendix - Tips and Help
Additional tips and help for course participants.

Upcoming cohorts

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